The present study focuses on the nature and pattern of urban expansion of Madurai city over its
surrounding region during the period from 2003 to 2013. Based on Its proximity to the Madurai city,
Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land
use land cover map from satellite imagery using supervised classification. Find out the areas from the
classified data. The study is Based on secondary data, the satellite imagery has downloaded from GLCF
(Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery
Subset using Imagery software to clip the study area. The clipped satellite imagery has Send to prepare the
land use and land cover map using supervised classification.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Abstract Remote sensing has its application in various fields like geology and mineral exploration, geomorphology and modern geomorphic process modeling, nature mitigation studies, hazard zone mapping, eco system study in hills, plains, riverine, coastal, marine and volcanic landforms, forest and biomass inventory, fishery. Remote sensing plays a vital in various fields. This technique along with the GIS has been to study the geomorphological, hydro geological, land use/land cover, lithological, structural aspects/ features in the parts of Anaimalai, Pollachi and Udumalpet block of TamilNadu. Integrated approach using geographic information system provides cost effective support in resources inventory including land use mapping, comprehensive data base for resources, analytical tools for decision making and impact analysis for plan evaluation. GIS accept large volumes of spatial data derived from a variety of sources and effectively store, retrieve, manipulate, analyze and display all forms of geographically referenced information. Maps and statistical data can be obtained from the spatial integration and analysis of an area using GIS software. In order to assess the natural resource availability and its potentiality in parts of Anaimalai, Pollachi and Udumalpet block, Tamil Nadu, an integrated remote sensing and GIS based study has been conducted by adopting the standard procedures. The groundwater potential zone of any area is depends on geological formations; geomorphologic unit’s recharges characters, topography, and thickness of weathered and fractured zones. In the present study, area was taken to locate groundwater potential zones by integrated different thematic maps, remote sensing and geographic information system techniques. To find out the ground water potential zones, different thematic maps have been prepared and integrated each of them. They are mainly geology, geomorphology, land use / land cover, lineament etc. Groundwater potential zones have been prepared with help of integrating different thematic maps. This study area is finally to get the groundwater potential zones we have to classified few area such as high, moderate and low potential zones. Index Terms: Remote sensing, GIS, lithology, Geomorphology, Hydrology, landforms etc.
Application of remote sensing in forest ecosystemaliya nasir
Established remote sensing systems provide opportunities to develop and apply new measurements of ecosystem function across landscapes, regions and continents.
New efforts to predict the consequences of ecosystem function change, both natural and human- induced, on the regional and global distributions and abundances of species should be a high research priority
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Abstract Remote sensing has its application in various fields like geology and mineral exploration, geomorphology and modern geomorphic process modeling, nature mitigation studies, hazard zone mapping, eco system study in hills, plains, riverine, coastal, marine and volcanic landforms, forest and biomass inventory, fishery. Remote sensing plays a vital in various fields. This technique along with the GIS has been to study the geomorphological, hydro geological, land use/land cover, lithological, structural aspects/ features in the parts of Anaimalai, Pollachi and Udumalpet block of TamilNadu. Integrated approach using geographic information system provides cost effective support in resources inventory including land use mapping, comprehensive data base for resources, analytical tools for decision making and impact analysis for plan evaluation. GIS accept large volumes of spatial data derived from a variety of sources and effectively store, retrieve, manipulate, analyze and display all forms of geographically referenced information. Maps and statistical data can be obtained from the spatial integration and analysis of an area using GIS software. In order to assess the natural resource availability and its potentiality in parts of Anaimalai, Pollachi and Udumalpet block, Tamil Nadu, an integrated remote sensing and GIS based study has been conducted by adopting the standard procedures. The groundwater potential zone of any area is depends on geological formations; geomorphologic unit’s recharges characters, topography, and thickness of weathered and fractured zones. In the present study, area was taken to locate groundwater potential zones by integrated different thematic maps, remote sensing and geographic information system techniques. To find out the ground water potential zones, different thematic maps have been prepared and integrated each of them. They are mainly geology, geomorphology, land use / land cover, lineament etc. Groundwater potential zones have been prepared with help of integrating different thematic maps. This study area is finally to get the groundwater potential zones we have to classified few area such as high, moderate and low potential zones. Index Terms: Remote sensing, GIS, lithology, Geomorphology, Hydrology, landforms etc.
Application of remote sensing in forest ecosystemaliya nasir
Established remote sensing systems provide opportunities to develop and apply new measurements of ecosystem function across landscapes, regions and continents.
New efforts to predict the consequences of ecosystem function change, both natural and human- induced, on the regional and global distributions and abundances of species should be a high research priority
Analysis of Changing Land Use Land Cover in Salinity Affected Coastal RegionIJERA Editor
Anthropogenic activities have induced many changes in land use over a period of three decades in a salinity
affected semi-arid region of coastal Saurashtra in Gujarat. To overcome water scarcity and quality issues, efforts
have been undertaken by state authorities to conserve and effectively use surface water resource to supplement
the irrigation and domestic water requirements. Surface water schemes implemented in the area have altered the
general land use conditions. In the present study, remotely sensed data coupled with ancillary data are used for
analysing the land use-land cover change. Supervised classification and post classification techniques are
employed to classify various land use-land cover classes and to detect changes, respectively. Landscape pattern
change has been studied by analysing the spatial pattern of land use land cover classes structure. The results
show that the region has experienced significant changes over a thirty year period. Growth in agricultural
activities, policies developed to conserve freshwater runoff, and increase in built-up area, are the main driving
forces behind these changes
Assessment, Monitoring and Managing SOC for Climate Change Mitigation and Ada...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. K. Suresh Chaudhari, from ICAR - India, in FAO Hq, Rome
Soil Classification Using Image Processing and Modified SVM Classifierijtsrd
Recently the use of soil classification has gained more and more importance and recent direction in research works indicates that image classification of images for soil information is the preferred choice. Various methods for image classification have been developed based on different theories or models. In this study, three of these methods Maximum Likelihood classification MLC , Sub pixel classification SP and Support Vector machine SVM are used to classify a soil image into seven soil classes and the results compared. MLC and SVM are hard classification methods but SP is a soft classification. Hardening of soft classifications for accuracy determination leads to loss of information and the accuracy may not necessary represent the strength of class membership. Therefore, in the comparison of the methods, the top 20 compositions per soil class of the SP were used instead. Results from the classification, indicated that output from SP was generally poor although it performs well with soils such as forest that are homogeneous in character. Of the two hard classifiers, SVM gave a better output than MLC. Priyanka Dewangan | Vaibhav Dedhe "Soil Classification Using Image Processing and Modified SVM Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18489.pdf
Mapping Land Cover Changes Using Landsat TM: a Case Study of Yamal Ecosystems...Universität Salzburg
This poster presents image processing by ILWIS GIS. It demonstrates changes in land cover types in tundra landscapes (Yamal) since 1988 to 2011. The research method is supervised classification (Minimal Distance) of the Landsat TM scenes. The new approach of the current work is application of ILWIS GIS and RS tools for Arctic, Bovanenkovo region. The poster demonstrates techniques of the remote sensing data processing by ILWIS GIS.
Introduction -Remote means – far away ; Sensing means – believing or observing or acquiring some information.
Remote sensing means acquiring information of things from a distance with sensors. (without touching the things)
Sensors are like simple cameras except that they not only use visible light but also other bands of the electromagnetic spectrum such as infrared, microwaves and ultraviolet regions.
Distance of Remote Sensing, Definition of remote sensing - Remote Sensing is:
“The art and science of obtaining information about an object without being in direct contact with the object” (Jensen 2000).
India’s National Remote Sensing Agency (NRSA) defined as : “Remote sensing is the technique of deriving information about objects on the surface of the earth without physically coming into contact with them.”
Remote Sensing Process, - (A) Energy Source or Illumination.
(B) Radiation and the Atmosphere.
(C) Interaction with the Target.
(D) Recording of Energy by the Sensor.
(E) Transmission, Reception, & Processing.
(F) Interpretation and Analysis.
(G) Application.
Remote sensing platforms , History of Remote Sensing, Applications of remote sensing - In Agriculture, In Geology, Applications of National Priority.
GEOMATICS ANALYSIS ON LAND USE LAND COVER CLASSIFICATION SYSTEM IN PRECAMBRIA...IAEME Publication
Earth's land use/land cover (LC/LU) classification provides information particularly on natural resources, mapping and monitoring. There is a significant change on LC/LU across the globe due to the climatic changes, rapid increase in population and over demand of the growing economic minerals. The present aim is to map, implement and monitor the land use/land cover classification using high-tech tools of geomatics in database generation, analyses and information extraction. Land use/land cover maps are prepared using satellite images in conjunction with collateral data like Survey of India (SoI) toposheets of 1:50,000 scale. Remote Sensing (RS) satellite data with its synoptic view and multispectral data provides essential information in proper planning of LU/LC
conditions of larger areas.
To meet the various information requirements in forest management, different data sources like field survey, aerial photography, and satellite imagery is used, depending on the level of detail required and the extension of the area under study.
Remote sensing application in agriculture & forestry_Dr Menon A R R (The Kera...India Water Portal
This presentation by Dr A R R Menon, Emeritus scientist, CED on Remote Sensing applications in agriculture and forestry was made at at the Kerala Environment Congress, Trivandrum organised by the Centre for Environment and Development
Remote Sensing Applications in Agriculture in PakistanGhulam Asghar
"Remote sensing is the science of acquiring, processing, and Interpreting images and related data without physical contact with object that are obtained from ground based, air or space-borne instruments that record the interaction between target and electromagnetic radiation."
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
This study aims to analyze the hydrological characteristics as a result of changes
in land use with the help of the SWAT hydrological model and can provide
recommendations on the best land use in the Koto Panjang Electric Power catchment
area. Based on the results of the analysis using the SWAT hydrological model, it was
seen that there were effects of land use changes in 2011 and 2014 on hydrological
characteristics; yield of water (WATER YLD) of 2,413.38 mm, and 1.008, 65 mm,
runoff coefficient (C) of 0.19 and 0.063 respectively, and river regime coefficient
(KRS) of 11.449 and 12.212, respectively. The best land use to be developed in
agricultural cultivation areas as a recommendation to maintain water stability in the
Koto Panjang hydropower catchment area is a simple and complex agroforestry
pattern in scenario III, which is run together with hydrological characteristics in the
form; water yield (WATER YLD) of 1.038, 41, surface runoff coefficient (C) of 0.023,
and river regime coefficient (KRS) of 11.13. The hydrological characteristics in
scenario III are far better than 2014 land use characteristics (existing).
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
Jessie, PhD, PE, City of Sugar Land, TX and Sunil Kommineni, PhD, BCEE, Malcolm Pirnie, Houston, TX discuss the City's plans to meet the Fort Bend Subsidene District's mandated reduction of groundwater use by treating water from Oyster Creek.
Analysis of Changing Land Use Land Cover in Salinity Affected Coastal RegionIJERA Editor
Anthropogenic activities have induced many changes in land use over a period of three decades in a salinity
affected semi-arid region of coastal Saurashtra in Gujarat. To overcome water scarcity and quality issues, efforts
have been undertaken by state authorities to conserve and effectively use surface water resource to supplement
the irrigation and domestic water requirements. Surface water schemes implemented in the area have altered the
general land use conditions. In the present study, remotely sensed data coupled with ancillary data are used for
analysing the land use-land cover change. Supervised classification and post classification techniques are
employed to classify various land use-land cover classes and to detect changes, respectively. Landscape pattern
change has been studied by analysing the spatial pattern of land use land cover classes structure. The results
show that the region has experienced significant changes over a thirty year period. Growth in agricultural
activities, policies developed to conserve freshwater runoff, and increase in built-up area, are the main driving
forces behind these changes
Assessment, Monitoring and Managing SOC for Climate Change Mitigation and Ada...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. K. Suresh Chaudhari, from ICAR - India, in FAO Hq, Rome
Soil Classification Using Image Processing and Modified SVM Classifierijtsrd
Recently the use of soil classification has gained more and more importance and recent direction in research works indicates that image classification of images for soil information is the preferred choice. Various methods for image classification have been developed based on different theories or models. In this study, three of these methods Maximum Likelihood classification MLC , Sub pixel classification SP and Support Vector machine SVM are used to classify a soil image into seven soil classes and the results compared. MLC and SVM are hard classification methods but SP is a soft classification. Hardening of soft classifications for accuracy determination leads to loss of information and the accuracy may not necessary represent the strength of class membership. Therefore, in the comparison of the methods, the top 20 compositions per soil class of the SP were used instead. Results from the classification, indicated that output from SP was generally poor although it performs well with soils such as forest that are homogeneous in character. Of the two hard classifiers, SVM gave a better output than MLC. Priyanka Dewangan | Vaibhav Dedhe "Soil Classification Using Image Processing and Modified SVM Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18489.pdf
Mapping Land Cover Changes Using Landsat TM: a Case Study of Yamal Ecosystems...Universität Salzburg
This poster presents image processing by ILWIS GIS. It demonstrates changes in land cover types in tundra landscapes (Yamal) since 1988 to 2011. The research method is supervised classification (Minimal Distance) of the Landsat TM scenes. The new approach of the current work is application of ILWIS GIS and RS tools for Arctic, Bovanenkovo region. The poster demonstrates techniques of the remote sensing data processing by ILWIS GIS.
Introduction -Remote means – far away ; Sensing means – believing or observing or acquiring some information.
Remote sensing means acquiring information of things from a distance with sensors. (without touching the things)
Sensors are like simple cameras except that they not only use visible light but also other bands of the electromagnetic spectrum such as infrared, microwaves and ultraviolet regions.
Distance of Remote Sensing, Definition of remote sensing - Remote Sensing is:
“The art and science of obtaining information about an object without being in direct contact with the object” (Jensen 2000).
India’s National Remote Sensing Agency (NRSA) defined as : “Remote sensing is the technique of deriving information about objects on the surface of the earth without physically coming into contact with them.”
Remote Sensing Process, - (A) Energy Source or Illumination.
(B) Radiation and the Atmosphere.
(C) Interaction with the Target.
(D) Recording of Energy by the Sensor.
(E) Transmission, Reception, & Processing.
(F) Interpretation and Analysis.
(G) Application.
Remote sensing platforms , History of Remote Sensing, Applications of remote sensing - In Agriculture, In Geology, Applications of National Priority.
GEOMATICS ANALYSIS ON LAND USE LAND COVER CLASSIFICATION SYSTEM IN PRECAMBRIA...IAEME Publication
Earth's land use/land cover (LC/LU) classification provides information particularly on natural resources, mapping and monitoring. There is a significant change on LC/LU across the globe due to the climatic changes, rapid increase in population and over demand of the growing economic minerals. The present aim is to map, implement and monitor the land use/land cover classification using high-tech tools of geomatics in database generation, analyses and information extraction. Land use/land cover maps are prepared using satellite images in conjunction with collateral data like Survey of India (SoI) toposheets of 1:50,000 scale. Remote Sensing (RS) satellite data with its synoptic view and multispectral data provides essential information in proper planning of LU/LC
conditions of larger areas.
To meet the various information requirements in forest management, different data sources like field survey, aerial photography, and satellite imagery is used, depending on the level of detail required and the extension of the area under study.
Remote sensing application in agriculture & forestry_Dr Menon A R R (The Kera...India Water Portal
This presentation by Dr A R R Menon, Emeritus scientist, CED on Remote Sensing applications in agriculture and forestry was made at at the Kerala Environment Congress, Trivandrum organised by the Centre for Environment and Development
Remote Sensing Applications in Agriculture in PakistanGhulam Asghar
"Remote sensing is the science of acquiring, processing, and Interpreting images and related data without physical contact with object that are obtained from ground based, air or space-borne instruments that record the interaction between target and electromagnetic radiation."
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
This study aims to analyze the hydrological characteristics as a result of changes
in land use with the help of the SWAT hydrological model and can provide
recommendations on the best land use in the Koto Panjang Electric Power catchment
area. Based on the results of the analysis using the SWAT hydrological model, it was
seen that there were effects of land use changes in 2011 and 2014 on hydrological
characteristics; yield of water (WATER YLD) of 2,413.38 mm, and 1.008, 65 mm,
runoff coefficient (C) of 0.19 and 0.063 respectively, and river regime coefficient
(KRS) of 11.449 and 12.212, respectively. The best land use to be developed in
agricultural cultivation areas as a recommendation to maintain water stability in the
Koto Panjang hydropower catchment area is a simple and complex agroforestry
pattern in scenario III, which is run together with hydrological characteristics in the
form; water yield (WATER YLD) of 1.038, 41, surface runoff coefficient (C) of 0.023,
and river regime coefficient (KRS) of 11.13. The hydrological characteristics in
scenario III are far better than 2014 land use characteristics (existing).
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
Jessie, PhD, PE, City of Sugar Land, TX and Sunil Kommineni, PhD, BCEE, Malcolm Pirnie, Houston, TX discuss the City's plans to meet the Fort Bend Subsidene District's mandated reduction of groundwater use by treating water from Oyster Creek.
This presentation was given on 26.11.15 at the Catchment Management Network Meeting in Tullamore.
The day included presentations on the approach to characterisation for the 2nd Cycle of the Water Framework Directive and how this would involve both the EPA and Local Authorities, along with other public bodies.
A key focus was the new Local Authority Water and Communities Office and its role in the 2nd cycle.
Presentations on integrating planning and the WFD, the UK 'Love Your River Telford' project and 'The Living Loobagh' from Limerick were also included.
"Step 2" in the Spiritual Pilgrimage journey with Auxiliary Bishop Oscar Cantu throughout the Holy Land - and a special stop in Rome for the Pallium Ceremony at St. Peter's Basilica, uniting with our Archbishop Gustavo Garcia-Siller. For more information, visit www.pilgrimcenterofhope.org
Bring food back into the City — Ideas for Land-use planning to improve Food Q...Karan Manral
The idea of growing food in the city seems preposterous and unproductive to urban planners and developers - for no good reason. This is a collection of non-original ideas about how we can go about creating space for growing food in city in a sensible manner.
Are you looking for an offbeat holiday destination with family, friends or solo? In this case, you can plan for a holiday trip to The Land of Thunder Dragon on the earth, Bhutan for an invigorating experience.
Enjoy a Wonderful Journey to the Land of Thunder Dragon - Bhutan
Similar to INTEGRATED TECHNOLOGY OF DATA REMOTE SENSING AND GIS TECHNIQUES ASSESS THE LAND USE AND LAND COVER CHANGES OF MADURAI CITY BETWEEN THE YEAR 2003-2013
The present study focuses on the nature and pattern of urban expansion of Madurai city over its surrounding region during the period from 2003 to 2008. Based on its proximity to the Madurai city, Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land use land cover map from satellite imagery using supervised classification. Find out the areas from the classified data. The study is based on secondary data, the satellite imagery has downloaded from GLCF (Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery subset using Imagery software to clip the study area. The clipped satellite imagery has used to prepare the land use and land cover map using supervised classification.
Application of Remote Sensing Techniques for Change Detection in Land Use/ La...iosrjce
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of Applied Geology and Geophysics. The journal welcomes publications of high quality papers on theoretical developments and practical applications in Applied Geology and Geophysics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Identification Of Ground Water Potential Zones In Tamil Nadu By Remote Sensin...IJERA Editor
A case study was conducted to find out the groundwater potential zones in Salem, Erode and Namakkal districts, Tamil Nadu, India with an aerial extent of 360.60 km2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in Arc GIS 9.3. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil −25%, geomorphology − 25%, land use/land cover −25%, slope − 15%, lineament − 5% and drainage / streams − 5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km2, 261.61 km2 and 46.04 km2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
Land Use/Land Cover Mapping Of Allahabad City by Using Remote Sensing & GIS IJMER
The present study was carried out to produce and evaluate the land use/land cover maps by on
screen visual interpretation. The studies of land cover of Allahabad city (study area) consist of 87517.47 ha
out of which 5500.35 ha is build up land (Urban / Rural) Area. In this respect, the Build up land (Urban /
Rural) area scorers 6.28% of the total area. It has also been found that about 17155.001ha (19.60 %) of
area is covered by current fallow land. The double/triple crop land of 30178.44ha (34.84%). The area
covered by gullied / ravines is 1539.20 ha (1.75 %) and that of the kharif crop land is 2828.00 ha (3.23 %).
The area covered by other wasteland is 2551.05ha (2.91%). Table 4.1 shows the area distribution of the
various land use and land cover of Allahabad city.
Land Use / Land Cover Classification of kanniykumari Coast, Tamilnadu, India....IJERA Editor
The land use/ land cover details of Kanniyakuamri coast which is Located in the southern part of Tamil Nadu (India) is studied. Satellite imagery is used to identify the Land use/ Land cover status of the study area. The software like ERDAS and Arc GIS are used to demarcate the land use / Land cover features of Kanniyakuamari coast. Remote sensing and GIS provided consistent and accurate base line information than many of the conventional surveys employed for such a task. The total area of Kanniyakumari coast is 715 sq.km. The land use / land cover classes of the study area has been categorized into thirteen such as Plantation, Sandy area, Water logged area, Scrub forest, Crop Land, Water bodies, Land with scrub, Reserve forest, Land without Scrub, Salt area, Beach Ridge, Settlement and Fallow land on the basis NRSA Classifications. Among these categories, land with scrub land is predominantly found all over the study area, It is occupied about 336.36 sq.km (44.61 percent), Crop Land 273.82 sq.km(38.29 percent), water bodies lands sharing about 20.44 sq.km (2.85 percent ), settlement occupied with 6.96 sq.km (0.97 percent), and Fallow land was occupied 13.98 sq.km ( 1.95 percent ).
Evaluation of Groundwater Resource Potential using GIS and Remote Sensing App...IJERA Editor
Environment and Development are the two wheels of the cart. However, they become antagonists at some
points. It has been witnessed many a times that development is done at the cost of environment. Analysis and
assessment tools like GIS along with Remote Sensing have proved to be very efficient and effective and hence
useful for management of natural resources. Groundwater is a precious resource of limited extent. In order to
ensure a judicious use of groundwater, proper evaluation is required. There is an urgent need of planned and
optimal development of water resources. An appropriate strategy is required to develop water resources with
planning based on conjunctive use of surface and subsurface water resources. Integrated remote sensing and GIS
can provide the appropriate platform for convergent analysis of diverse data sets for decision making in
groundwater management and planning. Sustainable water resources development and management necessarily
depends on proper planning, implementation, operation and maintenance. The interpretation of remote sensing
data in conjunction with conventional data and sufficient ground truth information makes it possible to identify
and outline various ground features such as geological structures, geomorphic features and their hydrologic
characters that may serve as direct or indirect indicators of the presence of ground and surface water. Remotely
sensed data provides unbiased information on geology, geomorphology, structural pattern and recharging
conditions, which logically define the groundwater regime of an area. Groundwater resource potential has been
evaluated in Pulivendula-Sanivaripalli, Kadapa district, Andhra Pradesh, India, using remote sensing and
Geographic information system. Under this study, three thematic maps viz. Geological map (Lithology and
Structure), Geomorphological map and Hydro morphological maps were prepared. These thematic maps have
been integrated with the help of GIS. Appropriate weightage has been assigned to various factors controlling
occurrence of groundwater to assess the groundwater potential in each segment of the study area. The area has
been classified into high potential, moderate potential, low potential and non-potential zones landforms ground
water development on the basis of hydromorphological studies. Some of the favorable locations have been
suggested to impound the excessive run off so as to augment the ground water resources of the area.
Evaluation of Groundwater Resource Potential using GIS and Remote Sensing App...IJERA Editor
Environment and Development are the two wheels of the cart. However, they become antagonists at some
points. It has been witnessed many a times that development is done at the cost of environment. Analysis and
assessment tools like GIS along with Remote Sensing have proved to be very efficient and effective and hence
useful for management of natural resources. Groundwater is a precious resource of limited extent. In order to
ensure a judicious use of groundwater, proper evaluation is required. There is an urgent need of planned and
optimal development of water resources. An appropriate strategy is required to develop water resources with
planning based on conjunctive use of surface and subsurface water resources. Integrated remote sensing and GIS
can provide the appropriate platform for convergent analysis of diverse data sets for decision making in
groundwater management and planning. Sustainable water resources development and management necessarily
depends on proper planning, implementation, operation and maintenance. The interpretation of remote sensing
data in conjunction with conventional data and sufficient ground truth information makes it possible to identify
and outline various ground features such as geological structures, geomorphic features and their hydrologic
characters that may serve as direct or indirect indicators of the presence of ground and surface water. Remotely
sensed data provides unbiased information on geology, geomorphology, structural pattern and recharging
conditions, which logically define the groundwater regime of an area. Groundwater resource potential has been
evaluated in Pulivendula-Sanivaripalli, Kadapa district, Andhra Pradesh, India, using remote sensing and
Geographic information system. Under this study, three thematic maps viz. Geological map (Lithology and
Structure), Geomorphological map and Hydro morphological maps were prepared. These thematic maps have
been integrated with the help of GIS. Appropriate weightage has been assigned to various factors controlling
occurrence of groundwater to assess the groundwater potential in each segment of the study area. The area has
been classified into high potential, moderate potential, low potential and non-potential zones landforms ground
water development on the basis of hydromorphological studies. Some of the favorable locations have been
suggested to impound the excessive run off so as to augment the ground water resources of the area.
Assessment of Landsat 8 TIRS data capability for the preliminary study of geo...TELKOMNIKA JOURNAL
West Sumatra is one of has big geothermal energy resources potential. Remote sensing technology can have a role in geothermal exploration activity to measure the distribution of land surface temperatures (LST) and predict the geothermal potential area. Main study to obtain the assessment of Landsat 8 TIRS (Landsat`s Thermal Infrared Sensor) data capability for geothermal energy resources estimation. Mono-window algorithms were used to generate the LST maps. Data set was combined with a digital elevation model (DEM) to identify the potential geothermal energy based on the variation in surface temperature. The result that were derived from LST map of West Sumatra shows that ranged from -8.6 C0 to 32.59 C0 and the different temperatures are represented by a graduated pink to brown shading. A calculated result clearly identifies the hot areas in the dataset, which are brown in colour images. Lima Puluh Kota, Tanah Datar, Solok, and South Solok areas showed the high-temperature value (Brown) in the range of 28.1 C0 to 32.59 C0 color in images which means that they possess high potential for generating thermal energy. In contrast, the temperatures were lower (Pink) in the north-eastern areas and the range distribution was from-8.5 C0 to 5 C0.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Land use/land cover classification using machine learning modelsIJECEIAES
An ensemble model has been proposed in this work by combining the extreme gradient boosting classification (XGBoost) model with support vector machine (SVM) for land use and land cover classification (LULCC). We have used the multispectral Landsat-8 operational land imager sensor (OLI) data with six spectral bands in the electromagnetic spectrum (EM). The area of study is the administrative boundary of the twin cities of Odisha. Data collected in 2020 is classified into seven land use classes/labels: river, canal, pond, forest, urban, agricultural land, and sand. Comparative assessments of the results of ten machine learning models are accomplished by computing the overall accuracy, kappa coefficient, producer accuracy and user accuracy. An ensemble classifier model makes the classification more precise than the other state-of-the-art machine learning classifiers.
Assessment of Land Use Land Cover Classification through Geospatial Approach:...Premier Publishers
Earth's land use/land cover (LC/LU) classification provides valuable information particularly on natural resources, mapping and its monitoring. There is a significant change on LC/LU across the globe due to the climatic changes, rapid increase in population and over demand of economic natural resources. Remote Sensing (RS) satellite data with its synoptic view and multispectral data provides essential information in proper planning of LU/LC conditions of larger areas. The study aims to map and monitor the existing LU/LC classification scientifically using geospatial tools in database generation, analyses and information extraction. Thematic maps of the study area are prepared using satellite images in conjunction with collateral data Survey of India (SoI) toposheets, forest and wasteland maps. An attempt have been made to delineate the Level-I, Level-II and Level-III LU/LC classification system through NRSC guidelines (2011) using both Digital Image Processing (DIP) and Visual Image Interpretation Techniques (VIIT) by GIS software’s with limited Ground Truth Check (GTC). More accurate classification is observed in case of digital technique as compared to that of visual technique in terms of area statistics. The final results highlight the potentiality of geospatial technique in optimal and sustainable land use planning of natural resource and its management.
Groundwater Potential Zone Identification of Karwi Area, Mandakini River Basi...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
study and analysis of hy si data in 400 to 500IJAEMSJORNAL
The ability to extract information about world and present it in way that our visual perception can comprehend is ultimate goal of imaging science in remote sensing .Hyperspectral imaging system is most powerful tool in the field of remote sensing also called as imaging spectroscopy, It is new technique used by researcher to detect terrestrial, vegetation and mineral. This paper reports analysis of hyperspectral images. Firstly the hyperspectral image analyzed by using supervised classification of Amravati region from Maharashtra province of India. The report reveals spectral analysis of Amravati region. We acquired satellite imagery to perform the classification using maximum like hood classifier. Analysis is performing in ERDAS to determine the spectral reflectance against the no of band. The analytical outcome of paper is representing the soil, water, vegetation index of the region.
“Cadastral Maps for Socio-Economic Data Visualization and Integration for Lan...irjes
The impact of mining and mineral extraction activities can be significant on the surrounding land,
water and air bodies, in any operational area. The environmental degradation ranges from localized surface and
ground water contamination to the damaging effects of airborne pollutants on the regional ecosystem; which
need the properly designed geospatial database. The monitoring of these environmental impacts requires a userfriendly
and cost effective method to quantify the land cover changes over large time periods. Now-a-days, it
has become compulsory to use the remote sensing techniques for regular monitoring of these environmental
hazards in-and-around the mining areas using cadastral map. This paper provides a case study on the use of
geospatial techniques for environmental monitoring in the mining areas.
Similar to INTEGRATED TECHNOLOGY OF DATA REMOTE SENSING AND GIS TECHNIQUES ASSESS THE LAND USE AND LAND COVER CHANGES OF MADURAI CITY BETWEEN THE YEAR 2003-2013 (20)
Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing.
Call for Papers - Advanced Computing An International Journal (ACIJ) (2).pdfacijjournal
Submit your Research Papers!!!
Advanced Computing: An International Journal ( ACIJ )
ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print]
Webpage URL: http://airccse.org/journal/acij/acij.html
Submission URL: http://coneco2009.com/submissions/imagination/home.html
Submission Deadline : April 08, 2023
Here's where you can reach us : acijjournal@yahoo.com or acij@aircconline
Advanced Computing: An International Journal (ACIJ
)
is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advancedcomputing. The journal focuses on all technical and practical aspects of high performancecomputing, green computing, pervasive computing, cloud computing etc. The goal of this journalis to bring together researchers anda practitioners from academia and industry to focus onunderstanding advances in computing and establishing new collaborations in these areas
Submit your Research Papers!!!
Advanced Computing: An International Journal ( ACIJ )
ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print]
Webpage URL: http://airccse.org/journal/acij/acij.html
Submission URL: http://coneco2009.com/submissions/imagination/home.html
Here's where you can reach us : acijjournal@yahoo.com or acij@aircconline.com
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
4thInternational Conference on Machine Learning & Applications (CMLA 2022)acijjournal
4thInternational Conference on Machine Learning & Applications (CMLA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
3rdInternational Conference on Natural Language Processingand Applications (N...acijjournal
3rdInternational Conference on Natural Language Processing and Applications (NLPA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and its applications. The Conference looks for significant contributions to all major fieldsof the Natural Language processing in theoretical and practical aspects.
4thInternational Conference on Machine Learning & Applications (CMLA 2022)acijjournal
4thInternational Conference on Machine Learning & Applications (CMLA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Graduate School Cyber Portfolio: The Innovative Menu For Sustainable Developmentacijjournal
In today’s milieu, new demands and trends emerge in the field of Education giving teachers of Higher Education Institutions (HEI’s) no choice but to be innovative to cope with the fast changing technology. To be naturally innovative, a graduate school teacher needs to be technologically and pedagogically competent. One of the ways to be on this level is by creating his cyber portfolio to support students’ eportfolio for lifelong learning. Cyber portfolio is an innovative menu for teachers who seek out strategies to integrate technology in their lessons. This paper presents a straightforward preparation on how to innovate a cyber portfolio that has its practical and breakthrough solution against expensive and inflexible vended software which often saddle many universities. Additionally, this cyber portfolio is free and it addresses the 21st century skills of graduate students blended with higher order thinking skills, multiple intelligence, technology and multimedia.
Genetic Algorithms and Programming - An Evolutionary Methodologyacijjournal
Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of “what needs to be done” and automatically creates a computer program to solve the problem. In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. It is a machine learning technique used to optimize a population of computer programs according to a fitness span determined by a program's ability to perform a given computational task. This paper presents a idea of the various principles of genetic programming which includes, relative effectiveness of mutation, crossover, breeding computer programs and fitness test in genetic programming. The literature of traditional genetic algorithms contains related studies, but through GP, it saves time by freeing the human from having to design complex algorithms. Not only designing the algorithms but creating ones that give optimal solutions than traditional counterparts in noteworthy ways.
Data Transformation Technique for Protecting Private Information in Privacy P...acijjournal
Data mining is the process of extracting patterns from data. Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. Data
Mining can be utilized in any organization that needs to find patterns or relationships in their data. A group of techniques that find relationships that have not previously been discovered. In many situations, the extracted patterns are highly private and it should not be disclosed. In order to maintain the secrecy of data,
there is in need of several techniques and algorithms for modifying the original data in order to limit the extraction of confidential patterns. There have been two types of privacy in data mining. The first type of privacy is that the data is altered so that the mining result will preserve certain privacy. The second type of privacy is that the data is manipulated so that the mining result is not affected or minimally affected. The aim of privacy preserving data mining researchers is to develop data mining techniques that could be
applied on data bases without violating the privacy of individuals. Many techniques for privacy preserving data mining have come up over the last decade. Some of them are statistical, cryptographic, randomization methods, k-anonymity model, l-diversity and etc. In this work, we propose a new perturbative masking technique known as data transformation technique can be used for protecting the sensitive information. An
experimental result shows that the proposed technique gives the better result compared with the existing technique.
Advanced Computing: An International Journal (ACIJ) acijjournal
Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas.
E-Maintenance: Impact Over Industrial Processes, Its Dimensions & Principlesacijjournal
During the course of the industrial 4.0 era, companies have been exponentially developed and have
digitized almost the whole business system to stick to their performance targets and to keep or to even
enlarge their market share. Maintenance function has obviously followed the trend as it’s considered one
of the most important processes in every enterprise as it impacts a group of the most critical performance
indicators such as: cost, reliability, availability, safety and productivity. E-maintenance emerged in early
2000 and now is a common term in maintenance literature representing the digitalized side of maintenance
whereby assets are monitored and controlled over the internet. According to literature, e-maintenance has
a remarkable impact on maintenance KPIs and aims at ambitious objectives like zero-downtime.
10th International Conference on Software Engineering and Applications (SEAPP...acijjournal
10th International Conference on Software Engineering and Applications (SEAPP 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts and establishing new collaborations in these areas.
10th International conference on Parallel, Distributed Computing and Applicat...acijjournal
10th International conference on Parallel, Distributed Computing and Applications (IPDCA 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, computer Networks, Cyber trust and security, Wireless networks and mobile Computing and Bioinformatics. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
DETECTION OF FORGERY AND FABRICATION IN PASSPORTS AND VISAS USING CRYPTOGRAPH...acijjournal
In this paper, we present a novel solution to detect forgery and fabrication in passports and visas using
cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a
cryptographic key pair and publish their public key on their website. Further they are required to encrypt
the passport or visa information with their private key, encode the ciphertext in a QR code and print it on
the passport or visa they issue to the applicant.
The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it
for download on their website or Google Play Store and iPhone App Store. Any individual or immigration
authority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which
will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and
displays the passport or visa information on the app screen. The details on the app screen can be
compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear
indication of forgery or fabrication.
Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and
consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery
and fabrication.
Detection of Forgery and Fabrication in Passports and Visas Using Cryptograph...acijjournal
In this paper, wepresenta novel solution to detect forgery and fabrication in passports and visas using cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a cryptographic key pair and publish their public key on their website. Further they are required to encrypt the passport or visa information with their private key, encode the ciphertext in a QR code and print it on the passport or visa they issue to the applicant.
The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it for download on their website or Google Play Store and iPhone App Store. Any individual or immigration authority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and displays the passport or visa information on the app screen. The details on the app screen can be compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear indication of forgery or fabrication.
Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery and fabrication.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
INTEGRATED TECHNOLOGY OF DATA REMOTE SENSING AND GIS TECHNIQUES ASSESS THE LAND USE AND LAND COVER CHANGES OF MADURAI CITY BETWEEN THE YEAR 2003-2013
1. Advanced Computing: An International Journal (ACIJ), Vol.7, No.1/2, March 2016
DOI:10.5121/acij.2016.7204 29
INTEGRATED TECHNOLOGY OF DATA REMOTE
SENSING AND GIS TECHNIQUES ASSESS THE LAND
USE AND LAND COVER CHANGES OF MADURAI
CITY BETWEEN THE YEAR
2003-2013
Dr.P.Venkataraman, Dr.M.Mohamed sathik and R.Srinivasan
Department of Geology,v.o.c college,tutcorin
Principal ,sadakathullah appa college ,thirunelveli
Department of computerscience MAVMM.AV.college Madurai
ABSTRACT
The present study focuses on the nature and pattern of urban expansion of Madurai city over its
surrounding region during the period from 2003 to 2013. Based on Its proximity to the Madurai city,
Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land
use land cover map from satellite imagery using supervised classification. Find out the areas from the
classified data. The study is Based on secondary data, the satellite imagery has downloaded from GLCF
(Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery
Subset using Imagery software to clip the study area. The clipped satellite imagery has Send to prepare the
land use and land cover map using supervised classification.
KEYWORDS
Land use, Land Cover, Land sat data, Satellite imagery
1. INTRODUCTION
To study and compare the demographic change between the above year Land use is obviously
constrained by environmental factors such as soil characteristics, climate, topography, and
vegetation. But it also reflects the importance of land as a key and finite resource for most human
activities including agriculture, industry, forestry, energy production, settlement, recreation, and
water catchment and storage. Land is a fundamental factor of production, and through much of
the course of human history, it has been tightly coupled with economic growth. Often improper
Land use is causing various forms of environmental degradation. For sustainable utilization of the
land ecosystems, it is essential to know the natural characteristics, extent and location, its quality,
productivity, suitability and limitations of various. Land use is a product of interactions between a
society's cultural background, state, and its physical needs on the one hand, and the natural
potential of land on the other (Balak Ram and Kolarkar 1993). In order to improve the economic
condition of the area without further deteriorating the bio environment, every bit of the available
land has to be used in the most rational way.
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1.1. Aim and Objectives
1. To identify the land use/land cover map of Madurai for year 2003,2008,2013
2. To study and compare the demographic change between the above years
3. To spatially map the residential Development of Madurai city.
1.2. Date Base
The following topographic maps are collected form Survey of India (SOI), Bangalore.
No. 58K/1 on 1:50,000 Scale
1) Madurai Corporation Map 1:16,000 Scale
2) Madurai Corporation Zone and Ward details
The following Remote sensing data collected from National Remote Sensing Agency (NRS
Year 2003 data
Year 2013 data
2. STUDY AREA
Madurai is the oldest inhabited city in the Indian peninsula. It is referred to with names like
Koodal Maanagar, toongaa Nagar (Sleepless City), Malligai Maanagar (City of Jasmine) and
Athens of the East. It is the cultural capital of Tamil Nadu. It is a city in the Indian state of Tamil
Nadu and is a municipal corporation situated on the banks of the River Vaigai in Madurai district.
The city is referred as the Temple city. With a city population of 1,108,755 according to the 2004
estimation, it is the administrative capital of Madurai district. Madurai city has an area of 52 km²,
within an urban area now extending over as much as 130 km², and it is located at [show location
on an interactive map 9°56′N 78°07′E / 9.93°N 78.12°E / 9.93; 78.12. It has an average elevation
of 101 meters above mean sea level. Paration of digital geological data from Geological survey of
Satellite IRS 1D P6 LISS 1V MX
Path and row 101 – 067
Date of Acquisition 28th
March 2003
Orbit Number 2189141 and 18481509 (Two Scenes)
Satellite IRS R-2 L4FX(Resource
Satellite
Path and row 101-067
Date of Acquisition 13 th
MAY 2013
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India (GSI) for the study area. Preparation of various thematic data such Land use and Land cover
using Landsat data.Create a land use land cover map from satellite imagery using supervised
classification.Find out the areas from the classified data. The study is based on secondary data,
the satellite imagery has downloaded Satellite: IRS 1D P6 LISS 1V MX Path and row: 101 –
067, the downloaded imagery subset using Imagery software to clip the study area. The clipped
satellite imagery has used to prepare the land use and land cover map using supervised
classification. The land use and land cover map clearly shows that area of Bulit up land is higher
than others. bio environment, every bit of the available land has to be used in the most rational
way.
Figure : 1 Madurai City
3. METHODOLOGY
The study is based on secondary data, the satellite imagery has downloaded .The clipped satellite
imagery has used to prepare the land use and land cover map using supervised classification.
4. LAND SAT
7 Imagery The spectral resolution of each of the 7 bands, plus the panchromatic band, are
summarized in the following table, along with a description of the spatial resolution and the
primary use of data
4.1. Band 1
The spectral response of Band 1 is in the visible portion of the electromagnetic spectrum that
corresponds with blue-green light. Energy at this portion of the electromagnetic spectrum is easily
scattered by particles in the atmosphere, often giving images in this band a hazy appearance. This
band is capable of being transmitted through water and is especially sensitive to particles
suspended in water (such as sediments and algae). Data from this band can be used with bands 2
and 3 to create "true" color composite images, which most closely approximate how the scene
would appear to the human eye.
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4.2. Band 2
The spectral response of Band 2 is in the visible portion of the electromagnetic spectrum that
corresponds with green light. It can be used with bands 1 and 3 to create "true" color composite
images.
4.3. Band 3
The spectral response of Band 3 is in the visible portion of the electromagnetic spectrum that
corresponds with red light. It is also one of the three component bands used to create "true" color
composite images.
4.4. Band 4
The spectral response of Band 4 is in the Near Infrared (NIR) portion of the electromagnetic
spectrum. This form of infrared sits just outside the visible red light portion of the
electromagnetic spectrum. This form of radiation is reflected to a high degree off leafy vegetation
since chlorophyll (the green pigment in green vegetation) reflects much of the NIR that reaches it
(it has a high albedo in this band)
4.5. Band 5
The spectral response of Band 5 is in the Middle Infrared (Mid-IR) portion of the electromagnetic
spectrum. This portion of the spectrum is sensitive to variations in water content in both leafy
vegetation and soil moisture. This band allows an observer to distinguishes between clouds
(which appear dark) and bright snow covr (which appear light). Sensors in this band also respond
to variations in ferric iron (Fe2O3) in rocks and soils, showing higher reflectance as iron content
increases. This allows one to use these data to determine mineral content and soil types from
space
4.6. Band 6
The spectral response of Band 6 is in the Thermal Infrared portion of the electromagnetic
spectrum. Thermal infrared is radiation that is detected as heat energy, therefore the thermal Band
6 on the ETM+ sensor can distinguish temperature difference of about 0.6 Celsius, which allows
it to detect relatively small differences in land and water surface temperatures. This makes the
thermal IR band useful for a variety of purposes. For example, using band 6 data, researchers can
discriminate among rock types whose thermal properties show differences in temperature near the
surface. This assists researchers in creating geologic mapping of land surfaces from space. This
data supports agricultural and mineral exploration efforts. ETM Band 6 data can detect changes in
ground temperature due to moisture variations, assisting in drought planning, flood forecasting,
and agricultural assessment. The cooling effect of water evaporating from vegetation can be
detected, assisting in efforts to map land use characteristics of a region.
4.7. Band 7
Spectral response of Band 7 is in the Middle Infrared (Mid-IR) portion of the electromagnetic
spectrum. This portion of the electromagnetic spectrum is sensitive to moisture and thus responds
to the moisture contents in soils and vegetation. The sensitivity to moisture contents is suited to
detecting certain water-loving minerals, such as clays, in geologic settings. This band is also
useful in detecting moisture levels in leafy vegetation, which can change under certain
environmental conditions (e.g. drought, pollution, insect infestation) and thus provides a means to
monitor productivity and identify agricultural areas that are under stress.
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4.8. Panchromatic
0.52 to 0.90 pedometers black and white sensor with a 15 m spatial resolution. The higher
resolution of this data assists land-use researchers by making identification of smaller objects
easier. Items smaller then 30 m will appear fuzzy or ill defined in the 30 m bands of the ETM+.
The 15m resolution of the panchromatic band will allow researchers to make better
determinations of land use and will assist in producing accurate land use maps.
Table .1.Land Use 2003 Madurai City
LAND USE 2003 MAP MADURAI CITY
Table:2 Landuse - Year 2013
SL.N
O
LANDUSE
CODE LANDUSE NAME
NO. OF
FREQUENCY
AREA IN
SQ.KM
1 100 Built-up Land 7 27.96
2 200 Mixed Built-up Land 24 4.98
3 300 Vacant land 54 1.05
4 400 Recreational land 13 0.30
5 500 Crop Land 32 2.97
6 600 Fallow Land 25 2.79
7 700 Plantation 26 0.70
8 800 Land with Scrub 39 3.77
9 900 Land Without Scrub 21 2.91
10 1000 Tank / Pond 19 3.49
11 1100 River / Canal 2 2.41
12 1200 Forest 1 1.33
LANDUSE
CODE LANDUSE NAME
NO. OF
FREQUENCY
AREA IN
SQ.KM
1 100 Built-up Land 7 29.79
2 200 Mixed Built-up Land 24 4.46
3 300 Vacant land 54 0.80
4 400 Recreational land 13 0.27
5 500 Crop Land 32 4.39
6 600 Fallow Land 25 0.47
7 700 Plantation 26 0.57
8 800 Land with Scrub 39 4.91
9 900 Land Without Scrub 21 1.75
10 1000 Tank / Pond 19 3.49
11 1100 River / Canal 2 2.41
12 1200 Forest 1 1.33
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5.CHANGE DETECTION ANALYSIS:
Change detection is the use of remotely sensed imagery of a single region, acquired on at least
two dates, to identify changes that might have occurred in the interval between the two dates.
Those two dates can be years apart, for example to track changes in urbanization, or days apart,
for example to track changes from a volcanic eruption. Change detection has been applied to
examine effects such as land use changes caused by urban and suburban growth, effects of natural
disasters (such as floods, forest and range fires), and impacts of insect infestations upon forest
cover, for example. Change detection requires application of algorithms that are specifically
designed to detect meaningful changes in the context of false alarms— ostensible changes that
are, in reality, simply artifacts of the imaging process. A critical prerequisite for application of
change detection by remote sensing is the identification of suitable pairs of images representing
the same region. The analyst must assure that (1) the two images register (that they match exactly
when superimposed), (2) that they were acquired during the same season, especially if use to
track changes in vegetation, and (3) that there are no significant atmospheric effects. In brief, the
two images must be compatible in every respect-- scale, geometry, resolution – otherwise the
change detection algorithm will interpret incidental differences in image characteristics as
changes on the landscape. There has been much research devoted to evaluating alternative change
detection algorithms. A basic distinction between pre-classification and post-classification
comparisons captures a primary division in the natures of the approach. Post-classification change
detection defines changes by comparing pixels in a pair of classified images (in which pixels have
already been assigned to classes). Post classification change detection typically reports changes as
a summary of the “from-to” changes of categories between the two dates. Pre-classification
change detection examines differences in two images prior to any classification process. Pre-
classification algorithms typically permit the analyst to set thresholds for the magnitude of
changes to be detected and highlighted. This tutorial will introduce a simple procedure using
ArcGIS Image Analysis for pre-classification change detection— other approaches are available
for the more experienced student, and to examine In GIS ,map overlay /intersection
operations were used to bring out the changes occurred in the land use/land cover for various
periods. To achieve the said ,land use/land cover map of the year 2003 was superimposed over
year 2008.It was found from the analysis that there 12 combination of changes,while the
possibilities are 144 combination.
Table :3 Change Detection Analysis Year 2003-2013madurai
S.NO
LANDUSE
NAME
AREA IN SQ.KM
2003 2013 Area change in percentage
1 Built-up Land 27.96 29.79 +18%
2
Mixed Built-
up Land
4.98 4.46 -52%
3 Vacant land 1.05 0.80 -25%
4
Recreational
land
0.30 0.27 -0.3%
5 Crop Land 2.97 4.39 +14.2%
6 Fallow Land 2.79 0.47 -2.3%
7 Plantation 0.70 0.57 -13%
8
Land with
Scrub
3.77 4.91 1.14%
9
Land Without
Scrub
2.91 1.75 -1.16%
10 Tank / Pond 3.49 3.49 0%
11 River / Canal 2.41 2.41 0%
12 Forest 1.33 1.33 0%
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Fig:2 Change Detection Analysis Yr 2003-2013mdu.
6. IMPACTS OF LAND USE CHANGE
Urban Dynamics research in landscape characterization, urban growth models, and geographic
understanding provides the data necessary for analyzing the impacts of population growth and
land use change. This information can be used to analyze the causes of urban congestion,
pollution, and loss of natural resources. Each of these impacts is linked to changes in the extent of
urban, agricultural ,and forested lands, and (or)transportation systems. Planners use Urban
Dynamics data to evaluate environmental impacts, to delineate urban growth boundaries or
service areas, to develop land use zoning plans, and to gauge future infrastructure requirements.
Traffic congestion, a common malady of urbanization, is the result of urban growth, increases in
population density, and out-dated transportation infrastructure. By evaluating trends associated
with land use change over time, solution sto traffic congestion may be obtainable. Another
specific application of UDR data is the correlation of air pollution records with the temporal
database to determine if control strategies for reducing pollution have been effective. Many
pollution control strategieshave been used in the past three decades. Correlation between land use
change and pollution helps researchers establish positive or negative trends that indicate whether
pollution control strategies have been successful. With this information, policy makers, resource
managers, and the public can make appropriate changes for the future. Hydrologists can use
Urban Dynamics data to evaluate new water sources for future urbanization and to analyze.
6.1 water pollution
A problem common to urban areas, industrial sites, and agricultural lands. The amount andde
gree of water pollution in rivers ,lakes, and bays can be predicted onthe basis of past and future
trends inland use change. A study currently underway in the Patuxent River Basin in Maryland
focuses on the sources ofwater pollution over time. In this study, temporal change maps of urban,
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agriculture, and forest lands are used to identify and quantify historictrends in sediment and
nutrient loads in waters draining into theChesapeake Bay.Geologists use data on land use
change to evaluate the availability of building materials, such as sand, gravel,and cement.
Geologists also use data on existing hazards to correlatewith the UDR data to predict theimpacts
of future natural disasters and the potential damage they may cause.Baltimore
6.2 Future risks
Madurai is facing similar challenges in relation to safe guarding its food security as India is
facing as a whole: in particular, rising demand, seasonal water variability, and rising temperatures
due to climate change could have an impact on its food security due to falling yields and rising
prices. For example, whilst no projections are available analyzing the implications of climate
change for the agricultural areas immediately surrounding city, projections for Western Ghat and
Coastal regions of the State out to 2030 suggest maize and sorghum yields are likely to be
negatively impacted by 2030, and increases in temperature and humidity may lead to livestock
rearing becoming a more cost intensive with livelihood implications for more marginal farmers.
However, the assessment identifies that further analysis will be needed in the future to better
understand Madurai’s food system to inform decision making. This should include analysis of the
city’s reliance on and ability to draw on food sources within and outside its immediate catchment,
the strength of regional food distribution and logistics systems, and further analysis of the
interface between food systems and Madurai’s blue infrastructure, as well further analysis of the
potential impacts of climate change (and its link to livelihoods) within Madurai’s catchment. The
State Climate Change Action Plan will include a sector implementation plan for agriculture to
address this.
7.CONCLUSION
The urban area of Madurai city has increased tremendously within the 2003-2013(10)years. This
resulted from rural-urban migration. Madurai is one of the most developing cities in Tamilnadu,
after Chennai. Education institutions, industries, and factories etc are located and upcoming here.
As a result, rural-urban migration has been characterizing in Madurai city. The overall percentage
increased during the period of 5 years about 18%, 14.2%, and 1.14%. built-up land, Land with
Scrub Sett, Corp land Comm. & Industrial activity and Airport respectively. There has been
decrease in the mixedbulit up land, vacand land,52%,25% and 13%.water body and River with no
change respectively.
The results of this study were based on Image classification and its interpretation. The mapping of
the urban development of Madurai town shows the development of urban lands had brought
changes in other part of the city as well. The interpretation of multi-date satellite helped in the
preparation of urban changes map of the study area. The decrease in agricultural/Scrub area is due
to conversion of urban land use or discontinuation of agricultural lands. The Barren land has been
increase as cultivable land is left with discontinuation of cultivation due to lack of irrigation
facility and seasonal variations are made them to be available as such. Similar studies can be
under taken for other major cities also to estimate to make necessary arrangement to plan
accordingly to preserve the natural environment.
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AUTHORS
Dr. P.Venkataraman , Associate professor, Department of Geology, V.O.C. College,Tuticorin.
Dr.M.Mohameed sathik ,Principal,Sadakathullah appa college,Tirunelveli.
R.Srinivasan, Assistant professor,Department of computerscience, SLS .MAVMM.
Ayiravasiyar college,Madurai