A knowledge-based model for identifying and mapping tropical wetlands and pea...ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 3.1, Managing SOC in: Soils with high SOC – peatlands, permafrost, and black soils, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Thomas Gumbricht, from Center for International Forestry Research – Indonesia, in FAO Hq, Rome
Geohydrological study of weathered basement aquifers in Oban Massif and envir...iosrjce
The focus of this research is to model the geohydrology of the precambrian Oban Massif using
geospatial techniques. Groundwater control indicators such as geology, geomorphology, drainage density,
lineament density, land use / land cover and slope steepness were derived from landsat ETM+
imagery, ASTER
DEM and SRTM DEM. Image processing software such as ENVI 3.2, ARC GIS9.2 and PCI Geomatica were
used for image processing , digitizing and lineament density computation respectively. Weighted averages of the
groundwater controlling factors were used to produce thematic maps of geology, lineament density, drainage
density, slope steepness, land use/land cover and geomorphological units. The thematic maps were overlaid in a
GIS environment to model the ground water potential map of the area. Arc GIS, Arc View and Map Info were
used for geographic Information System analysis. ERDAS imagine 8.6 and ENVI 4.2 were used for
georeferencing, image analysis and coordinate transformation. ASTER DEM was used for analysis of
geomorphology. For vegetation, discrimination in land cover / land use mapping band 4: 3: 2 for landsat ETM+
was used. Unsupervised was used to have a general idea of the area. Supervised classification was used for
final land use/ land cover mapping. Result show that geology, lineament density, and slope steepness are the
most influential groundwater controlling factors of groundwater potential. Their degree of influence can be
summarized as geology > lineament density> slope>geomorphology>drainage density>land use / land cover.
From the groundwater potential map, four groundwater potential zones: very good, moderately good, fair and
poor. Successful boreholes drilled in the groundwater favourable potential areas should be reticulated to the
neighbourhood with poor groundwater potentials to salvage groundwater problem in the study area.
A knowledge-based model for identifying and mapping tropical wetlands and pea...ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 3.1, Managing SOC in: Soils with high SOC – peatlands, permafrost, and black soils, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Thomas Gumbricht, from Center for International Forestry Research – Indonesia, in FAO Hq, Rome
Geohydrological study of weathered basement aquifers in Oban Massif and envir...iosrjce
The focus of this research is to model the geohydrology of the precambrian Oban Massif using
geospatial techniques. Groundwater control indicators such as geology, geomorphology, drainage density,
lineament density, land use / land cover and slope steepness were derived from landsat ETM+
imagery, ASTER
DEM and SRTM DEM. Image processing software such as ENVI 3.2, ARC GIS9.2 and PCI Geomatica were
used for image processing , digitizing and lineament density computation respectively. Weighted averages of the
groundwater controlling factors were used to produce thematic maps of geology, lineament density, drainage
density, slope steepness, land use/land cover and geomorphological units. The thematic maps were overlaid in a
GIS environment to model the ground water potential map of the area. Arc GIS, Arc View and Map Info were
used for geographic Information System analysis. ERDAS imagine 8.6 and ENVI 4.2 were used for
georeferencing, image analysis and coordinate transformation. ASTER DEM was used for analysis of
geomorphology. For vegetation, discrimination in land cover / land use mapping band 4: 3: 2 for landsat ETM+
was used. Unsupervised was used to have a general idea of the area. Supervised classification was used for
final land use/ land cover mapping. Result show that geology, lineament density, and slope steepness are the
most influential groundwater controlling factors of groundwater potential. Their degree of influence can be
summarized as geology > lineament density> slope>geomorphology>drainage density>land use / land cover.
From the groundwater potential map, four groundwater potential zones: very good, moderately good, fair and
poor. Successful boreholes drilled in the groundwater favourable potential areas should be reticulated to the
neighbourhood with poor groundwater potentials to salvage groundwater problem in the study area.
Contributions of Satellite Images in the Diachronic Study of the Stanley-Pool...INFOGAIN PUBLICATION
With increased population now days, there is a marked change in morphology of the land when it comes the analysis of space images (satellite) using remote sensing. This study covers a sample application of the use of spatial imagery for mapping land cover in the Stanley-Pool (Congo - Brazzaville). The approach used here is based on confrontation of satellite data acquired on different dates (2001-2005). These images were chosen because of realization a demographic growth during this period. The results of this study show a great advance in land occupation which affected the whole of the autonomous port of Brazzaville.
New Measurement and Mapping of SOC in Australia supports national carbon acco...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. Raphael Viscarra-Rossel from CSIRO - Australia, in FAO Hq, Rome
Watershed delineation and LULC mappingKapil Thakur
Watershed Delineation - a watershed as an enormous bowl. As water falls onto the bowl’s rim, it either flows down the inside of the bowl or down the outside of the bowl. The rim of the bowl or the watershed boundary is sometimes referred to as the ridgeline or watershed divide. This ridge line separates one watershed from
another.
Topographic maps created by the United States Geological Survey can help you to determine a watershed’s boundaries.
Land use and land cover map (LULC Mapping) -
Land cover indicates the physical land type such as forest or open water whereas land use documents how people are using the land. … Land cover maps provide information to help managers best understand the current landscape. To see change over time, land cover maps for several different years are needed.
Streamflow simulation using radar-based precipitation applied to the Illinois...Alireza Safari
This paper describes the application of a spatially distributed hydrological model WetSpa (Water and Energy Transfer between Soil, Plants and Atmosphere) using radar-based rainfall data provide by the United States Hydrology Laboratory of NOAA's National Weather Service for a distributed model intercomparison project. The model is applied to the
river basin above Tahlequah hydrometry station with 30-m spatial resolution and one hour time--step for a total simulation period of 6 years. Rainfall inputs are derived from radar. The distributed model parameters are based on an extensive database of watershed characteristics available for the region, including digital maps of DEM, soil type, and land use. The model is calibrated and validated on part of the river flow records. The simulated hydrograph shows a good correspondence with observation (Nash efficiency coeffiecient >80%, indicating that the model is able to simulate the relevant hydrologic processes in the basin accurately.
Modification and Climate Change Analysis of surrounding Environment using Rem...iosrjce
This review is presented in three parts. The first part explains such terms as climate, climate change,
climate change adaptation, remote sensing (RS) and geographical information systems (GIS). The second part
highlights some areas where RS and GIS are applicable in climate change analysis and adaptation. Issues
considered are snow/glacier monitoring, land cover monitoring, carbon trace/accounting, atmospheric
dynamics, terrestrial temperature monitoring, biodiversity conservation, ocean and coast monitoring, erosion
monitoring and control, agriculture, flood monitoring, health and disease, drought and desertification. The
third part concludes from all illustrated instances that climate change problems will be less understood and
managed without the application of RS and GIS. While humanity is still being plagued by climate change effects,
RS and GIS play a crucial role in its management for continued human survival. Key words: Climate, Climate
Change, Climate Change Adaptation, Geographical Information System and Remote Sensing.
Contributions of Satellite Images in the Diachronic Study of the Stanley-Pool...INFOGAIN PUBLICATION
With increased population now days, there is a marked change in morphology of the land when it comes the analysis of space images (satellite) using remote sensing. This study covers a sample application of the use of spatial imagery for mapping land cover in the Stanley-Pool (Congo - Brazzaville). The approach used here is based on confrontation of satellite data acquired on different dates (2001-2005). These images were chosen because of realization a demographic growth during this period. The results of this study show a great advance in land occupation which affected the whole of the autonomous port of Brazzaville.
New Measurement and Mapping of SOC in Australia supports national carbon acco...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. Raphael Viscarra-Rossel from CSIRO - Australia, in FAO Hq, Rome
Watershed delineation and LULC mappingKapil Thakur
Watershed Delineation - a watershed as an enormous bowl. As water falls onto the bowl’s rim, it either flows down the inside of the bowl or down the outside of the bowl. The rim of the bowl or the watershed boundary is sometimes referred to as the ridgeline or watershed divide. This ridge line separates one watershed from
another.
Topographic maps created by the United States Geological Survey can help you to determine a watershed’s boundaries.
Land use and land cover map (LULC Mapping) -
Land cover indicates the physical land type such as forest or open water whereas land use documents how people are using the land. … Land cover maps provide information to help managers best understand the current landscape. To see change over time, land cover maps for several different years are needed.
Streamflow simulation using radar-based precipitation applied to the Illinois...Alireza Safari
This paper describes the application of a spatially distributed hydrological model WetSpa (Water and Energy Transfer between Soil, Plants and Atmosphere) using radar-based rainfall data provide by the United States Hydrology Laboratory of NOAA's National Weather Service for a distributed model intercomparison project. The model is applied to the
river basin above Tahlequah hydrometry station with 30-m spatial resolution and one hour time--step for a total simulation period of 6 years. Rainfall inputs are derived from radar. The distributed model parameters are based on an extensive database of watershed characteristics available for the region, including digital maps of DEM, soil type, and land use. The model is calibrated and validated on part of the river flow records. The simulated hydrograph shows a good correspondence with observation (Nash efficiency coeffiecient >80%, indicating that the model is able to simulate the relevant hydrologic processes in the basin accurately.
Modification and Climate Change Analysis of surrounding Environment using Rem...iosrjce
This review is presented in three parts. The first part explains such terms as climate, climate change,
climate change adaptation, remote sensing (RS) and geographical information systems (GIS). The second part
highlights some areas where RS and GIS are applicable in climate change analysis and adaptation. Issues
considered are snow/glacier monitoring, land cover monitoring, carbon trace/accounting, atmospheric
dynamics, terrestrial temperature monitoring, biodiversity conservation, ocean and coast monitoring, erosion
monitoring and control, agriculture, flood monitoring, health and disease, drought and desertification. The
third part concludes from all illustrated instances that climate change problems will be less understood and
managed without the application of RS and GIS. While humanity is still being plagued by climate change effects,
RS and GIS play a crucial role in its management for continued human survival. Key words: Climate, Climate
Change, Climate Change Adaptation, Geographical Information System and Remote Sensing.
very useful ppt for all enginnereing and schoolmstudents.............................................................................................................
The Presentation gives the overview of the process necessary for accomplishing the task for the preparation of Ground water movements and identification carried out by Rajiv gandhi national drinking water mission project.
Watershed management: Role of Geospatial Technologyamritpaldigra30
Watershed management is the study of the relevant characteristics of a watershed which is done to enhance watershed functions that affect the plant, animal and human or other living communities within the watershed boundary.
This PPT dscribes the Role of Geospatial Technology in Watershed Management
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
Surface and soil moisture monitoring, estimations, variations, and retrievalsJenkins Macedo
This presentation explored five leading articles in the remotely sensed and in situ surface and soil moisture monitoring, estimations, variations, and retrievals for global environmental change. The presentation gives insight to the purpose of each study, subjects of investigations, methods used to collect and analyze data sets, results and implications, and conclusions. This project is in fulfillment of the course on remote sensing for global environmental change and precedes our preview on water resources monitoring. This project was conducted by Christina Geller, 5th year accelerated graduate student in Geographic Information Systems for Development, and Environment and Jenkins Macedo, 2nd year graduate students in Environmental Science and Policy at the Department of International Development, Community, and Environment (IDCE) at Clark University. All academic materials used in this study were appropriately referenced (see bibliography for details).
Features:
View watershed boundary and drainage network, and contour map layers
Find area of a selected watershed
View ground profile along and across the stream path
View existing water conservation structures along with photo
Manage watershed structures
Add Water Conservation Structure
Change Status of Structure (Proposed, Under Progress, Completed)
Technology
Google Maps API
Google Elevation API
Google Fusion Tables (for polyline and polygon data)
ASP.NET, SQL Server 2008 (for point data)
identification of ground water potential zones using gis and remote sensingtp jayamohan
the identification of ground water potential zones using gis and remote sensing.The study is conducted in the Muvattupuzha block.The various parameters used are geology,geomorphology,rainfall,soil type,etc.
Runoff is one of the most significant hydrological variables used in most of the water resources applications. Physiographically the area is characterized by undulating topography with plains and valleys. The Soil Conservation Service Curve Numbers also known as hydrologic soil group method were used in this study. This method is adaptable and suitable approach for quick runoff estimation and is approximately easy to use with minimum data and it gives good result. From the study yearly rainfall and runoff were estimated easily. The study area covers an area of 466.02 km2, having maximum length of 36.5 km. The maximum and minimum elevation of the basin is 569 m and 341 m above MSL, respectively.
landform is a natural or artificial feature of the solid surface of the Earth or other planetary body. Landforms together make up a given terrain, and their arrangement in the landscape is known as topography. The Study area located between Latitude 15º54′2′′ N to 16º16′19′′ N Latitude and 76º48′40′′ E to77º4′21′′ E Longitude. The study area covers an area of 466.02 km2, having maximum length of 36.5 km.The study of hypsometric properties of watershed using hypsometric integral (HI) and hypsometric curve retrieved in that, HI value is 0.51 and hence watershed falls under the Mature Stage
Objectives:
Develop a replicable integrated model (methodology) for evaluating the extent and development potential of renewable (non-renewable) groundwater resources in arid lands, with the Eastern Desert of Egypt as a pilot site.
The model will be replicable for similar arid areas; North of Sudan, Tibesty, Yemen, and Saudi Arabia.
Building national capacities.
Modeling the Effects of Land Use Change on FloodingAdam Nayak
Due to population growth, urban areas in Oregon have been expanding, leading to increases in impervious surfaces and net losses in wetlands, riparian vegetation, and forestation in the Northwest. Utilizing ArcGIS and NOAA’s C-CAP imagery, this study classifies and analyzes urban land use changes between 1996 and 2010. These findings shed light on the importance of land use management in urban settings and are being used by local watershed councils to advocate for changes within their stream basins.
Modeling the Effects of Land Use Change on Flooding
Report B.Tech
1. SEDIMENTATION ANALYSIS OF
THATIPUDI RESERVOIR USING
REMOTE SENSING & GEOGRAPHIC
INFORMATION SYSTEM
By
Shahera Begum (10331A0149)
P.V.Srivardhan (10331A0142)
G.Rajya Lakshmi (10331A0121)
K.Gana Chaitanya (10331A0123)
B.Jhansi (10331A106)
Under the Guidance of
Mr. A. Vara Prasad M.Tech (RS & GIS)
Assistant Professor
2. Objectives
• To analyze the sedimentation rate of
Thatipudi Reservoir basing on field survey
• To analyze the Land use and Land cover of
study area for a period of 30 years using
remote sensing.
• To analyze the drainage pattern of the study
area using Geographical Information System.
3. Description of Study area
• Thatipudi Reservoir Project was constructed across
Gosthani River.
• Location: Gantyada mandal, Vizianagaram disrict.
• Latitude: North 18.1699 , Longitude: East 83.1975
• Purpose: To irrigate a total ayacut of 15,378acres
(62.23sqkm).
• Head work: Earthen and Gravity: 585m long.
• Full reservoir level: 90.52m
• Gross storage capacity: 94.164MCM.
• Live storage capacity: 88.04MCM.
5. Methodologies
Topographical Satellite Field Work
Contour Toposheet Analysis
Base Map Creation
Selection of Study Area
Procurement of Satellite Images
Re-sampling of Satellite Images
Supervised Classification
Geo Referencing
Data Processing
Actual water spread and volume
estimation
Comparison & Analysis
Classified Image
Sample signature
Recoding
Drainage
DEM
Data collection
Results & Recommendations
6. Data collection
• Data was collected from irrigation department which constitutes of
details related to precipitation, inflow, outflow, capacity of reservoir
for the past 30 years i.e., from 1980-2013.
• Area elevation curve of Thatipudi reservoir is also collected.
• Satellite images from National Remote Sensing Centre (NRSC) and
earth explorer were also taken for land use and land cover analysis.
The dates for which the satellite images were classified are:
From Earth Explorer website-In the year 1973,October, year 1975
December, year 1977 February
From NRSC-In the year 1988, October, year 1990, February
From Bhuvan -In the year 2009, October, year 2011, December
• Water depths at various locations in the reservoir were measured
to compute the amount of sediment upto year 2014.
7. 1.Estimation of volume of sediment based on
field survey conducted on 28th February, 2014
Field survey –
• Depth of water column at various locations were determined
in the reservoir area.
• The average value of depth of water column was taken and
depth of sediment deposited on the reservoir bed was
calculated with respect to bed level.
• Amount of sedimentation was calculated using prismoidal
formula.
8. Water depth of reservoir
Average water column is 52.387 ft
Depth of sediment deposited is given by
Level upto which sediment is deposited - Bed level
= (Reservoir level - Average water column)-Bed level
= (292 - 52.387) - 220
=19.613 ft
9. Sediment calculation
Prismoidal formula is given by:
V=H(A1+A2+√A1*A2) / 3
Where
V=volume of sediment deposited
H=Difference in depth between two successive depth contours
A1=Cross section area within the outer depth under consideration
A2= Cross section area within the inner depth under consideration
The total volume of sediment deposited is 51.84 MMCF
10. Results obtained from field survey:
Volume of sediment obtained yearly basing on
rainfall data
13. 2.By creating 3D-DEM:
• Surface areas from different time periods are obtained based on different images
available.
• Contours are generated based on those areas and Reservoir DEM is created.
• Similarly another DEM is created based on the water level depths obtained from
field survey data.
• In Arc Scene, those two DEMs are overlapped and the sediment volume is
calculated , i.e., the volume under sediment plane.
• The approximate volume of sediment is found to be 63MMCF
14. Result obtained:
Reservoir side view
Reservoir 3D view
Reservoir with sediment plane 1 Reservoir with sediment plane 2
The estimated sediment volume is found to be 63MMCF by 2014.
15. 3.Land use and land cover analysis
Image classification is done to know the land use pattern.
• It is mainly done in 3 steps:
1. Geo-referencing:
The available satellite image is geo-referenced to
an already available reference image like a topo-sheet
2. Subset:
The geo-referenced image is then clipped to the
required watershed area
3. Supervised classification:
The clipped image is then classified on the basis
of supervised classification
• The change in cover for different years is analyzed and the
possible sedimentation causes are determined.
23. Comparizon of percentage area of each class
The table enlisted above for various classes depicting the areal spread clearly shows
that major part of the water shed is vegetation. In the year 1988 and 1990 there
was a sudden decrease in vegetative cover which might be due to deforestation. In
these years area under agricultural increased tremendously.
27. Discussions
• The amount of sedimentation obtained using
theoretical formula was 51.84 MCft where as that
obtained by using Arc GIS was around 63 MCft. If
better survey methods would have been used then the
values might have been more comparable.
• Basing on rainfall data the estimation of sediment
deposited yearly plotted in the form of graph shows a
deviation in the year 1990 which is very high compared
to other years.
• In the year 1990 the vegetation area suddenly reduced
which might be the possible reason for increase in
sediment deposition.