Approaches to exploring drought using satellite data
•Download as PPTX, PDF•
0 likes•285 views
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, Thailand
Report
Share
Report
Share
![Content ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
ijcer
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
Forecasting monthly water resources conditions by using different indices
Sharp changes in the SWSI are an obstacle for accurate estimation of this parameter. In addition, providing all of the information needed to determine the SWSI is not always possible. The SWE because of effective role in the calculation of the SWSI, it is a viable alternative to forecast instead the SWSI. The obtained results showed that the ARIMA model forecasted the SWE values for January to June successfully. Using these forecasted data and by non-linear regression can be estimated the SWSI values for all points of each basin except in cases that the amounts of SWSI and SWE are very low (drought conditions).
Hyperspectral remote sensing and analysis of intertidal zones: A contribution...
The document summarizes a study that used hyperspectral remote sensing to monitor coastal biodiversity in intertidal zones. Researchers analyzed hyperspectral data from an imaging spectrometer to classify biotopes in the northern intertidal zone of Helgoland, Germany. They achieved an overall classification accuracy of 76.4%. The study demonstrates that integrated GIS and remote sensing analysis provides a powerful tool for monitoring ecosystems, especially in inaccessible or heterogeneous environments.
Hydrogeological assessment of two important wetlands (GDEs) in Hodgson's Wetl...
This document summarizes a study of two wetlands, W023 and W024, located within the Buntine-Marchagee Natural Diversity Recovery Catchment in Western Australia. The study analyzed the regional geology, hydrogeology, and water balances of the wetlands. For both wetlands, the major water inputs were horizontal groundwater inflow and surface water inflow, while the major outputs were horizontal groundwater outflow and evapotranspiration. The water and chloride balances showed that W023 had a surplus of 560 kg/year of chloride while W024 had a deficit of 310 cubic meters/year of water. The study provides insight into the hydrology and geochemistry of the two wetland systems.
Spatial analysis of groundwater quality data using geoR and mgcv R-package (I...
Spatial analysis of groundwater quality data using geoR and mgcv R-package (I...Dasapta Erwin Irawan
Author:
Irawan, DE.1, Prabowo, K.1, and Akter, F.2, Vervoort, W.2
Affiliation:
1 Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Institut Teknologi Bandung,
Jl. Ganesa No. 10, Bandung, 40132
2 Faculty of Agriculture and Environment, University of Sydney
Biomedical Building, Australian Technology Park, NSW 2015
a)Irawan, DE: d.erwin.irawan@gmail.com
Abstract:
Quantitative-spatial analysis has been applied to 295 samples of shallow groundwater quality data from Bandung-Soreang Groundwater Basin (BSGwB) taken in 1997, 1998, 2007, 2010, and 2011. This paper discuss the use of variogram using geoR and generalised additive model (GAM) using mgcv R-package to identify the spatial distribution and mixing process betwee groundwater and Cikapundung river water. The variograms show significant water quality trend in north-south direction, and in the direction to the Cikapundung River. From the GAM tests using gaussian and gamma family, some significant elements can be identified: (1) geological control from Fe, Mn, Na concentration; (2) agricultural control from NO2, NO3 concentration; and (3) other surficial control from EC, CO3, CO2, SO4 concentration. Both analysis suggest the close interaction between groundwater and river water and the occurrence of mixing between both.247 - 252_Malam1
This study classified 19 urban climate field sites in Kaduna, Nigeria using the Local Climate Zone (LCZ) classification system. 10 different LCZs were identified: BCZ2, BCZ3, BCZ4, BCZ5, BCZ6, BCZ7, BCZ8, BCZ9, BCZ10 (built zones) and NCZ4 (natural zone). The LCZ system adequately represented the different urban environments in Kaduna based on characteristics like sky view factor, built surface fraction, and roughness height. While some site data did not perfectly align with the standard LCZ descriptions, the classification still effectively captured differences in built form and planning patterns. The authors conclude the LCZ system
IGC7-JXu
This study estimates ground-level PM2.5 concentrations in eastern China using aerosol optical depth (AOD) retrieved from the Geostationary Ocean Color Imager (GOCI) satellite instrument. GOCI AOD shows good agreement with AERONET ground measurements. Using GOCI AOD and a GEOS-Chem model simulation of the PM2.5 to AOD ratio, the study finds good agreement between satellite-derived PM2.5 and in-situ observations. The population-weighted average PM2.5 across eastern China in 2013 was 53.8 μg/m3, threatening the health of over 600 million residents. Secondary inorganic and organic components accounted for most of the PM2.5
MARS3012Report2_42853288_GregForster
This report analyzed oceanographic patterns of sea surface temperature (SST) and chlorophyll concentration using remotely sensed data at global and regional scales. At the global scale, SST and chlorophyll distributions followed expected patterns driven by ocean currents and upwelling/downwelling zones. Regionally along the Australian East Coast, SST and chlorophyll patterns revealed the influence of the East Australian Current, with seasonal and interannual variability observed. Comparison of remote sensing and in situ data showed good agreement for SST near the surface but limitations for subsurface measurements, highlighting the need for calibration and depth profiling through field work.
Recommended
ijcer
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
Forecasting monthly water resources conditions by using different indices
Sharp changes in the SWSI are an obstacle for accurate estimation of this parameter. In addition, providing all of the information needed to determine the SWSI is not always possible. The SWE because of effective role in the calculation of the SWSI, it is a viable alternative to forecast instead the SWSI. The obtained results showed that the ARIMA model forecasted the SWE values for January to June successfully. Using these forecasted data and by non-linear regression can be estimated the SWSI values for all points of each basin except in cases that the amounts of SWSI and SWE are very low (drought conditions).
Hyperspectral remote sensing and analysis of intertidal zones: A contribution...
The document summarizes a study that used hyperspectral remote sensing to monitor coastal biodiversity in intertidal zones. Researchers analyzed hyperspectral data from an imaging spectrometer to classify biotopes in the northern intertidal zone of Helgoland, Germany. They achieved an overall classification accuracy of 76.4%. The study demonstrates that integrated GIS and remote sensing analysis provides a powerful tool for monitoring ecosystems, especially in inaccessible or heterogeneous environments.
Hydrogeological assessment of two important wetlands (GDEs) in Hodgson's Wetl...
This document summarizes a study of two wetlands, W023 and W024, located within the Buntine-Marchagee Natural Diversity Recovery Catchment in Western Australia. The study analyzed the regional geology, hydrogeology, and water balances of the wetlands. For both wetlands, the major water inputs were horizontal groundwater inflow and surface water inflow, while the major outputs were horizontal groundwater outflow and evapotranspiration. The water and chloride balances showed that W023 had a surplus of 560 kg/year of chloride while W024 had a deficit of 310 cubic meters/year of water. The study provides insight into the hydrology and geochemistry of the two wetland systems.
Spatial analysis of groundwater quality data using geoR and mgcv R-package (I...
Spatial analysis of groundwater quality data using geoR and mgcv R-package (I...Dasapta Erwin Irawan
Author:
Irawan, DE.1, Prabowo, K.1, and Akter, F.2, Vervoort, W.2
Affiliation:
1 Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Institut Teknologi Bandung,
Jl. Ganesa No. 10, Bandung, 40132
2 Faculty of Agriculture and Environment, University of Sydney
Biomedical Building, Australian Technology Park, NSW 2015
a)Irawan, DE: d.erwin.irawan@gmail.com
Abstract:
Quantitative-spatial analysis has been applied to 295 samples of shallow groundwater quality data from Bandung-Soreang Groundwater Basin (BSGwB) taken in 1997, 1998, 2007, 2010, and 2011. This paper discuss the use of variogram using geoR and generalised additive model (GAM) using mgcv R-package to identify the spatial distribution and mixing process betwee groundwater and Cikapundung river water. The variograms show significant water quality trend in north-south direction, and in the direction to the Cikapundung River. From the GAM tests using gaussian and gamma family, some significant elements can be identified: (1) geological control from Fe, Mn, Na concentration; (2) agricultural control from NO2, NO3 concentration; and (3) other surficial control from EC, CO3, CO2, SO4 concentration. Both analysis suggest the close interaction between groundwater and river water and the occurrence of mixing between both.247 - 252_Malam1
This study classified 19 urban climate field sites in Kaduna, Nigeria using the Local Climate Zone (LCZ) classification system. 10 different LCZs were identified: BCZ2, BCZ3, BCZ4, BCZ5, BCZ6, BCZ7, BCZ8, BCZ9, BCZ10 (built zones) and NCZ4 (natural zone). The LCZ system adequately represented the different urban environments in Kaduna based on characteristics like sky view factor, built surface fraction, and roughness height. While some site data did not perfectly align with the standard LCZ descriptions, the classification still effectively captured differences in built form and planning patterns. The authors conclude the LCZ system
IGC7-JXu
This study estimates ground-level PM2.5 concentrations in eastern China using aerosol optical depth (AOD) retrieved from the Geostationary Ocean Color Imager (GOCI) satellite instrument. GOCI AOD shows good agreement with AERONET ground measurements. Using GOCI AOD and a GEOS-Chem model simulation of the PM2.5 to AOD ratio, the study finds good agreement between satellite-derived PM2.5 and in-situ observations. The population-weighted average PM2.5 across eastern China in 2013 was 53.8 μg/m3, threatening the health of over 600 million residents. Secondary inorganic and organic components accounted for most of the PM2.5
MARS3012Report2_42853288_GregForster
This report analyzed oceanographic patterns of sea surface temperature (SST) and chlorophyll concentration using remotely sensed data at global and regional scales. At the global scale, SST and chlorophyll distributions followed expected patterns driven by ocean currents and upwelling/downwelling zones. Regionally along the Australian East Coast, SST and chlorophyll patterns revealed the influence of the East Australian Current, with seasonal and interannual variability observed. Comparison of remote sensing and in situ data showed good agreement for SST near the surface but limitations for subsurface measurements, highlighting the need for calibration and depth profiling through field work.
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...Dasapta Erwin Irawan
The document presents a study on the interaction between groundwater and river water in Tasikmalaya, Indonesia. Water quality measurements from 50 wells along two rivers and 12 river sites were analyzed. The analysis identified two types of water interaction: effluent flow in one river segment and influent flow in the other. Water quality variables like pH, resistivity, and dissolved oxygen showed a clear separation between groundwater and river water. The study provides guidance for further geological modeling of the area to understand water resource management challenges in Tasikmalaya.Maxwell Omeje CV
I hold Doctor of Philosophy (Ph.D.) Physics of Universiti Teknologi Malaysia with specialization in environmental impact assessments. My area of research has been in the fields of radiation assessments, groundwater pollution evaluation, remediation and radiological risk forensics which represent one of the main activities. The effort in these fields was clearly noticed due to the presence of necessary scientific contributions in radiation dose assessments, groundwater monitoring, contamination channels, and remediation of radiotoxicity risks. The excellence of these inputs has provided a baseline for civil engineers and water resources managements on safer areas to drill boreholes for quality and consumable groundwater-based drinking, free from radionuclides. My research innovation has contributed greatly in providing solutions to many complicated groundwater and environmental problems which have been recorded as outstanding discoveries to the readers in scientific community by publishing all the novelties and scientific facts in high quality scholarly Journals guided by Thompson Reuters Journal Citation Reports (ISI-Web of Knowledge). Most of the discoveries have equally shared in International conferences in Hungary, Singapore and Malaysia with the proceedings published in ISI and Scopus indexed Journals. In addition, some of the scientific contributions yielded awards from International Doctoral Fellowship through Universiti Teknologi Malaysia that covered tuition fee and other benefits during my doctoral programme
Kivekäs acp 2014 ship contribution to particle number (1)
“The ships sailing along the main shipping lane at the west coast
of Jutland Are responsible for 5 to 8 % of the number of all
particles at western Jutland, and between 4 and 8 % of the
particle mass concentration. The estimate from this measurement study
is however a gross underestimation of the true influence of the
shipping activity in the North Sea, since with the current method
that we used, we were not able to register the influence of all ships
sailing in the North Sea. So, in reality, we expect a much higher number.
In other words: The 5-8 % and 4 to 8 % number has to be considered
as a lower estimate. Hence, shipping is contributing to nanoparticles
downwind of major shipping lanes, which have dangerous health effects.
Since, we were able to account for the pollution from only one shipping lane
in the North Sea in the above study, we continued with the next study during
2016, using a different method, where we could study the influence from multiple ship lanes:
Kecorius oceanologia 2016 ships to to n
“In southern Baltic Sea, we were able to measure the influence from
many shipping lanes on the coastal air quality. The measurements
Showed that ship traffic contributes to almost half of all nanoparticles
In southern Baltic Sea coastal areas when winds were blowing from shipping lanes
Towards the Baltic coast. In other words, shipping is significantly contributing
To severe health effects at coastal areas.”
Bella et al 2015
This document summarizes a study that characterized pollution transport into Texas using satellite data from OMI and TES, as well as GIS, in situ measurements, and HYSPLIT back trajectory analyses. The study found that for most dates and altitudes, air pollutants over Texas originated from remote sources like the Gulf of Mexico, Southeast USA, Midwest USA, and Mexico. Satellite data showed elevated ozone and nitrogen dioxide levels in eastern Texas that matched the remote pollution transport found in modeling. The study concludes that state air quality plans should consider both local and remote pollution sources to better comply with EPA standards.
Big data and remote sensing: A new software of ingestion
The document describes a new software for ingesting big remote sensing data. The software developed an efficient ingestion layer that acquires, filters, and preprocesses large volumes of satellite data. It discarded 86% of unnecessary daily files and cleaned 20% of erroneous data. The preprocessed output was integrated into the Hadoop system for further processing using HDFS, HBase and Hive. The results showed the ingestion layer efficiently handled remote sensing big data with high accuracy, low data volume and reasonable execution time.
Punkari mikko cv - ferc - eu-wb mar-2017
This CV summarizes the qualifications and experience of Dr. Mikko Punkari. He has over 33 years of experience in international environmental consulting working on projects in Europe, Asia, Africa, and Central Asia. He currently works as the Director of Finnish Earth Resources Consultants Co. and has extensive experience managing projects related to environmental policy, natural resources management, environmental assessment and climate change for organizations like the ADB, EBRD, EU, and World Bank.
Global Carbon Budget 2020
This document presents the Global Carbon Budget 2020 report which:
1) Describes and synthesizes data sets and methodologies used to assess the global carbon cycle and anthropogenic CO2 emissions between the atmosphere, ocean, and terrestrial biosphere.
2) Finds that CO2 emissions reached a record high in 2019 despite a decrease in global GDP due to the COVID-19 pandemic.
3) Estimates that CO2 emissions must decline by 1.4% per year from 2020 to 2030 to limit global warming to below 2°C.
Herbert cv july2016
Herbert Mbufong Njuabe is a Cameroonian researcher currently working as an affiliated researcher at Aarhus University in Denmark. He holds a PhD in Bioscience from Aarhus University and has over 10 years of experience conducting field research and publishing work related to Arctic carbon dioxide fluxes and greenhouse gas emissions from subarctic peatlands. His career has included positions as a research assistant, employed PhD fellow, and field assistant on projects in Greenland, Sweden, and Denmark.
Algorithm for detecting deforestation and forest degradation using vegetation...
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.
2016Sum_LaRC_AppalachianTrailHealthAQ_Presentation_FD
This document summarizes a study that used NASA Earth observation data to monitor ozone levels along the Appalachian Trail from 2012-2015. The study aimed to 1) introduce NASA data to supplement National Park Service monitoring, 2) display seasonal ozone variation along the trail, and 3) assess sensors on the Aura satellite for measuring air pollutants. Tropospheric ozone residual calculations from the Aura satellite showed similar trends to surface measurements, though with some differences in May and September. Future work could utilize more advanced satellites and variables to better calculate ozone levels.
Forsvar_Michala Kristensen
This master's thesis investigates how heterogeneous biodiversity data from different sources can be integrated in a GIS to inform management of Kalvebod Fælled, an urban nature park in Copenhagen. The author analyzes biodiversity data from various databases and citizen science platforms to identify priority areas for biodiversity and recreation. Adjustments are also proposed to the existing landscape character areas. The integrated data and analyses provide a science-based tool to support spatial prioritization and future management of the nature park.
acp-11-13061-2011
This document provides an overview of the European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI). The key achievements of the 4-year EUCAARI project include: (1) a comprehensive database with a year of aerosol observations across Europe, (2) new measurements in four developing countries, (3) an airborne database of aerosols and clouds over Europe, and (4) advanced modeling tools to study aerosol processes from nano to global scales and their effects. These achievements have improved understanding of aerosol radiative forcing and air quality-climate interactions and can inform European environmental policy.
Time Series Analysis of Rainfall in North Bangalore Metropolitan Region using...
Rainfall studies are of utmost utility for understanding nature & hence the behaviour of climate changes. Time series is a set of observations taken at specified times usually at equal interval. The inherent variability displayed by many hydrological time series usually mask trends and periodic patterns. This situation has often led to “something” the original time series so that the effects of random variations are reduced and trends or cyclical patterns enhanced. Thus a set of data depending on time is called a Time series. Here, Rainfall series represent the time series. The time series analysis is helpful to compare the actual performance and analyse the cause of variations. By comparing different time series we can draw important conclusion. Graphical method implies in increasing trend for pre-monsoon, south-west monsoon, north-east monsoon and annually.Geo- informatics module consists of GIS mapping for Location map, Geomorphology map and Season wise Rainfall maps are generated. Autocorrelation indicates the periodicity observed as 37,16 & 6 years (PM), 12, 37 & 16 years (SWM), 8, 18 & 6 years (NEM) and 16, 22 & 8 years (Annual) respectively. Power spectral depicts the cyclicity of 37, 4 & 3 years (PM), 2, 4& 2 years (SWM), 3, 7 & 2 years (NEM) and 2, 4 & 2 years (Annual) respectively. Moving average displays prominent positive correlation coefficients at lags of 18 to 42 years in PM & SWM and 12 to 24 years in NEM & Annual. The southwest and southeast parts of the study area experience the heavy rainfall whereas the least rainfall areas are the northern parts of the study area.The short term and long term cyclicity observed in Autocorrelation, power spectrum and Moving Average. Spatial variation of rainfall for the three seasons and annual has been studied
Extraction of Water-body Area from High-resolution Landsat Imagery
Extraction of water bodies from satellite imagery has been broadly explored in the current decade. So many techniques were involved in detecting of the surface water bodies from satellite data. To detect and extracting of surface water body changes in Nagarjuna Sagar Reservoir, Andhra Pradesh from the period 1989 to 2017, were calculated using Landsat-5 TM, and Landsat-8 OLI data. Unsupervised classification and spectral water indexing methods, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Water Index (NDWI), and Modified Normalized Difference Water Index (MNDWI), were used to detect and extraction of the surface water body from satellite data. Instead of all index methods, the MNDWI was performed better results. The Reservoir water area was extracted using spectral water indexing methods (NDVI, NDWI, MNDWI, and NDMI) in 1989, 1997, 2007, and 2017. The shoreline shrunk in the twenty-eight-year duration of images. The Reservoir Nagarjuna Sagar lost nearly around one-fourth of its surface water area compared to 1989. However, the Reservoir has a critical position in recent years due to changes in surface water and getting higher mud and sand. Maximum water surface area of the Reservoir will lose if such decreasing tendency follows continuously.
Monthly precipitation forecasting with Artificial Intelligence.
This document discusses using artificial neural networks to predict monthly precipitation patterns in northwestern Algeria. Key points:
- The study develops artificial neural network models to forecast monthly precipitation up to 12 months in advance in the region, which faces challenges from changing precipitation patterns due to climate change.
- It evaluates different normalization methods and approaches for selecting input variables to optimize the neural network models' performance in predicting precipitation.
- The best-performing models achieved correlation coefficients of 0.48-0.49 during validation and 67.71% accuracy in predicting hydrological conditions, demonstrating the potential of neural networks for medium-term precipitation forecasting.
Monitoring NDTI-River Temperature relationship along the river ganga in the s...
This document presents a study that uses geospatial techniques to monitor the relationship between river temperature and turbidity, as indicated by Normalized Difference Turbidity Index (NDTI) values, along segments of the Ganges River near Ghazipur, Varanasi, and Mirzapur districts in India. Landsat 5 and 8 satellite imagery from 2010, 2015, 2019, and 2021 were analyzed to estimate river temperature and NDTI values for each stretch. Statistical analysis found high correlation between turbidity and temperature for the Varanasi stretch, followed by Mirzapur and Ghazipur. The Varanasi stretch had the highest recorded temperatures and turbidity levels, likely due to industrial and domestic waste flows. The study
Adding Confidence to Seasonal Drought Forecasts using reference evapotranspir...
The document discusses using reference evapotranspiration (ETo) anomalies as an additional tool for improving seasonal drought forecasts. It finds that ETo forecasts often have greater predictive skill than precipitation forecasts alone, especially in certain regions and seasons. A case study of the 2002 Southwest U.S. drought showed ETo predictions better captured the spatial extent and severity levels of drought compared to precipitation forecasts. Overall, the use of ETo anomalies could help add confidence to drought outlooks when combined with other drought indicators in seasonal forecasts.
Thailand flood v1
Flooding is an annual issue in Thailand, especially in the central region around the Chao Phraya River Basin. The worst flooding in the last 50 years occurred in 2011, causing an estimated $46.5 billion in economic losses. Spatial data from various sources such as satellite imagery, sensor data, and digital elevation models were used to monitor and manage the 2011 floods. However, communication problems led to public confusion. Since then, Thailand has developed new flood monitoring and warning tools, including a National Hydroinformatics and Climate Data Center to better centralize data and inform the public.
Coupling of Surface water and Groundwater Models
This document presents a case study of coupling surface water and groundwater models in the Netravathi river basin located in southern India. It summarizes the data collected and methodology used. Key data included a digital elevation model, soil data, land use/land cover maps, rainfall and weather data, hydrological data including streamflow, and groundwater levels. The methodology involved using SWAT to model surface water hydrology and estimate groundwater recharge, then coupling the SWAT outputs to a MODFLOW groundwater model to allow a more complete analysis of the regional hydrological system.
Spatial variations of the flood and drought in the northern
The International Institute for Science, Technology and Education (IISTE). Science, Technology and Medicine Journals Call for Academic Manuscripts
2014 STAR Program
1. The described lesson plan is designed for 10th grade Biology students to analyze rainfall data from Kenya over two class periods totaling 90 minutes.
2. Students will work in groups to critically examine rainfall data sets from Lodwar, Kenya to draw conclusions about the climate of the unidentified location. They will then present their conclusions to their peers and a NOAA employee.
3. The lesson addresses scientific inquiry skills like data analysis and aims to demonstrate how scientific knowledge can change with new evidence. Students will practice collaboration, communication, and applying concepts of climate and the scientific method.
More Related Content
What's hot
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...Dasapta Erwin Irawan
The document presents a study on the interaction between groundwater and river water in Tasikmalaya, Indonesia. Water quality measurements from 50 wells along two rivers and 12 river sites were analyzed. The analysis identified two types of water interaction: effluent flow in one river segment and influent flow in the other. Water quality variables like pH, resistivity, and dissolved oxygen showed a clear separation between groundwater and river water. The study provides guidance for further geological modeling of the area to understand water resource management challenges in Tasikmalaya.Maxwell Omeje CV
I hold Doctor of Philosophy (Ph.D.) Physics of Universiti Teknologi Malaysia with specialization in environmental impact assessments. My area of research has been in the fields of radiation assessments, groundwater pollution evaluation, remediation and radiological risk forensics which represent one of the main activities. The effort in these fields was clearly noticed due to the presence of necessary scientific contributions in radiation dose assessments, groundwater monitoring, contamination channels, and remediation of radiotoxicity risks. The excellence of these inputs has provided a baseline for civil engineers and water resources managements on safer areas to drill boreholes for quality and consumable groundwater-based drinking, free from radionuclides. My research innovation has contributed greatly in providing solutions to many complicated groundwater and environmental problems which have been recorded as outstanding discoveries to the readers in scientific community by publishing all the novelties and scientific facts in high quality scholarly Journals guided by Thompson Reuters Journal Citation Reports (ISI-Web of Knowledge). Most of the discoveries have equally shared in International conferences in Hungary, Singapore and Malaysia with the proceedings published in ISI and Scopus indexed Journals. In addition, some of the scientific contributions yielded awards from International Doctoral Fellowship through Universiti Teknologi Malaysia that covered tuition fee and other benefits during my doctoral programme
Kivekäs acp 2014 ship contribution to particle number (1)
“The ships sailing along the main shipping lane at the west coast
of Jutland Are responsible for 5 to 8 % of the number of all
particles at western Jutland, and between 4 and 8 % of the
particle mass concentration. The estimate from this measurement study
is however a gross underestimation of the true influence of the
shipping activity in the North Sea, since with the current method
that we used, we were not able to register the influence of all ships
sailing in the North Sea. So, in reality, we expect a much higher number.
In other words: The 5-8 % and 4 to 8 % number has to be considered
as a lower estimate. Hence, shipping is contributing to nanoparticles
downwind of major shipping lanes, which have dangerous health effects.
Since, we were able to account for the pollution from only one shipping lane
in the North Sea in the above study, we continued with the next study during
2016, using a different method, where we could study the influence from multiple ship lanes:
Kecorius oceanologia 2016 ships to to n
“In southern Baltic Sea, we were able to measure the influence from
many shipping lanes on the coastal air quality. The measurements
Showed that ship traffic contributes to almost half of all nanoparticles
In southern Baltic Sea coastal areas when winds were blowing from shipping lanes
Towards the Baltic coast. In other words, shipping is significantly contributing
To severe health effects at coastal areas.”
Bella et al 2015
This document summarizes a study that characterized pollution transport into Texas using satellite data from OMI and TES, as well as GIS, in situ measurements, and HYSPLIT back trajectory analyses. The study found that for most dates and altitudes, air pollutants over Texas originated from remote sources like the Gulf of Mexico, Southeast USA, Midwest USA, and Mexico. Satellite data showed elevated ozone and nitrogen dioxide levels in eastern Texas that matched the remote pollution transport found in modeling. The study concludes that state air quality plans should consider both local and remote pollution sources to better comply with EPA standards.
Big data and remote sensing: A new software of ingestion
The document describes a new software for ingesting big remote sensing data. The software developed an efficient ingestion layer that acquires, filters, and preprocesses large volumes of satellite data. It discarded 86% of unnecessary daily files and cleaned 20% of erroneous data. The preprocessed output was integrated into the Hadoop system for further processing using HDFS, HBase and Hive. The results showed the ingestion layer efficiently handled remote sensing big data with high accuracy, low data volume and reasonable execution time.
Punkari mikko cv - ferc - eu-wb mar-2017
This CV summarizes the qualifications and experience of Dr. Mikko Punkari. He has over 33 years of experience in international environmental consulting working on projects in Europe, Asia, Africa, and Central Asia. He currently works as the Director of Finnish Earth Resources Consultants Co. and has extensive experience managing projects related to environmental policy, natural resources management, environmental assessment and climate change for organizations like the ADB, EBRD, EU, and World Bank.
Global Carbon Budget 2020
This document presents the Global Carbon Budget 2020 report which:
1) Describes and synthesizes data sets and methodologies used to assess the global carbon cycle and anthropogenic CO2 emissions between the atmosphere, ocean, and terrestrial biosphere.
2) Finds that CO2 emissions reached a record high in 2019 despite a decrease in global GDP due to the COVID-19 pandemic.
3) Estimates that CO2 emissions must decline by 1.4% per year from 2020 to 2030 to limit global warming to below 2°C.
Herbert cv july2016
Herbert Mbufong Njuabe is a Cameroonian researcher currently working as an affiliated researcher at Aarhus University in Denmark. He holds a PhD in Bioscience from Aarhus University and has over 10 years of experience conducting field research and publishing work related to Arctic carbon dioxide fluxes and greenhouse gas emissions from subarctic peatlands. His career has included positions as a research assistant, employed PhD fellow, and field assistant on projects in Greenland, Sweden, and Denmark.
Algorithm for detecting deforestation and forest degradation using vegetation...
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.
2016Sum_LaRC_AppalachianTrailHealthAQ_Presentation_FD
This document summarizes a study that used NASA Earth observation data to monitor ozone levels along the Appalachian Trail from 2012-2015. The study aimed to 1) introduce NASA data to supplement National Park Service monitoring, 2) display seasonal ozone variation along the trail, and 3) assess sensors on the Aura satellite for measuring air pollutants. Tropospheric ozone residual calculations from the Aura satellite showed similar trends to surface measurements, though with some differences in May and September. Future work could utilize more advanced satellites and variables to better calculate ozone levels.
Forsvar_Michala Kristensen
This master's thesis investigates how heterogeneous biodiversity data from different sources can be integrated in a GIS to inform management of Kalvebod Fælled, an urban nature park in Copenhagen. The author analyzes biodiversity data from various databases and citizen science platforms to identify priority areas for biodiversity and recreation. Adjustments are also proposed to the existing landscape character areas. The integrated data and analyses provide a science-based tool to support spatial prioritization and future management of the nature park.
acp-11-13061-2011
This document provides an overview of the European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI). The key achievements of the 4-year EUCAARI project include: (1) a comprehensive database with a year of aerosol observations across Europe, (2) new measurements in four developing countries, (3) an airborne database of aerosols and clouds over Europe, and (4) advanced modeling tools to study aerosol processes from nano to global scales and their effects. These achievements have improved understanding of aerosol radiative forcing and air quality-climate interactions and can inform European environmental policy.
What's hot (13)
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...
Groundwater and River Water Interaction at Ciromban and Cibeureum Riverbank, ...
Kivekäs acp 2014 ship contribution to particle number (1)
Kivekäs acp 2014 ship contribution to particle number (1)
Big data and remote sensing: A new software of ingestion
Big data and remote sensing: A new software of ingestion
Algorithm for detecting deforestation and forest degradation using vegetation...
Algorithm for detecting deforestation and forest degradation using vegetation...
2016Sum_LaRC_AppalachianTrailHealthAQ_Presentation_FD
2016Sum_LaRC_AppalachianTrailHealthAQ_Presentation_FD
Similar to Approaches to exploring drought using satellite data
Time Series Analysis of Rainfall in North Bangalore Metropolitan Region using...
Rainfall studies are of utmost utility for understanding nature & hence the behaviour of climate changes. Time series is a set of observations taken at specified times usually at equal interval. The inherent variability displayed by many hydrological time series usually mask trends and periodic patterns. This situation has often led to “something” the original time series so that the effects of random variations are reduced and trends or cyclical patterns enhanced. Thus a set of data depending on time is called a Time series. Here, Rainfall series represent the time series. The time series analysis is helpful to compare the actual performance and analyse the cause of variations. By comparing different time series we can draw important conclusion. Graphical method implies in increasing trend for pre-monsoon, south-west monsoon, north-east monsoon and annually.Geo- informatics module consists of GIS mapping for Location map, Geomorphology map and Season wise Rainfall maps are generated. Autocorrelation indicates the periodicity observed as 37,16 & 6 years (PM), 12, 37 & 16 years (SWM), 8, 18 & 6 years (NEM) and 16, 22 & 8 years (Annual) respectively. Power spectral depicts the cyclicity of 37, 4 & 3 years (PM), 2, 4& 2 years (SWM), 3, 7 & 2 years (NEM) and 2, 4 & 2 years (Annual) respectively. Moving average displays prominent positive correlation coefficients at lags of 18 to 42 years in PM & SWM and 12 to 24 years in NEM & Annual. The southwest and southeast parts of the study area experience the heavy rainfall whereas the least rainfall areas are the northern parts of the study area.The short term and long term cyclicity observed in Autocorrelation, power spectrum and Moving Average. Spatial variation of rainfall for the three seasons and annual has been studied
Extraction of Water-body Area from High-resolution Landsat Imagery
Extraction of water bodies from satellite imagery has been broadly explored in the current decade. So many techniques were involved in detecting of the surface water bodies from satellite data. To detect and extracting of surface water body changes in Nagarjuna Sagar Reservoir, Andhra Pradesh from the period 1989 to 2017, were calculated using Landsat-5 TM, and Landsat-8 OLI data. Unsupervised classification and spectral water indexing methods, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Water Index (NDWI), and Modified Normalized Difference Water Index (MNDWI), were used to detect and extraction of the surface water body from satellite data. Instead of all index methods, the MNDWI was performed better results. The Reservoir water area was extracted using spectral water indexing methods (NDVI, NDWI, MNDWI, and NDMI) in 1989, 1997, 2007, and 2017. The shoreline shrunk in the twenty-eight-year duration of images. The Reservoir Nagarjuna Sagar lost nearly around one-fourth of its surface water area compared to 1989. However, the Reservoir has a critical position in recent years due to changes in surface water and getting higher mud and sand. Maximum water surface area of the Reservoir will lose if such decreasing tendency follows continuously.
Monthly precipitation forecasting with Artificial Intelligence.
This document discusses using artificial neural networks to predict monthly precipitation patterns in northwestern Algeria. Key points:
- The study develops artificial neural network models to forecast monthly precipitation up to 12 months in advance in the region, which faces challenges from changing precipitation patterns due to climate change.
- It evaluates different normalization methods and approaches for selecting input variables to optimize the neural network models' performance in predicting precipitation.
- The best-performing models achieved correlation coefficients of 0.48-0.49 during validation and 67.71% accuracy in predicting hydrological conditions, demonstrating the potential of neural networks for medium-term precipitation forecasting.
Monitoring NDTI-River Temperature relationship along the river ganga in the s...
This document presents a study that uses geospatial techniques to monitor the relationship between river temperature and turbidity, as indicated by Normalized Difference Turbidity Index (NDTI) values, along segments of the Ganges River near Ghazipur, Varanasi, and Mirzapur districts in India. Landsat 5 and 8 satellite imagery from 2010, 2015, 2019, and 2021 were analyzed to estimate river temperature and NDTI values for each stretch. Statistical analysis found high correlation between turbidity and temperature for the Varanasi stretch, followed by Mirzapur and Ghazipur. The Varanasi stretch had the highest recorded temperatures and turbidity levels, likely due to industrial and domestic waste flows. The study
Adding Confidence to Seasonal Drought Forecasts using reference evapotranspir...
The document discusses using reference evapotranspiration (ETo) anomalies as an additional tool for improving seasonal drought forecasts. It finds that ETo forecasts often have greater predictive skill than precipitation forecasts alone, especially in certain regions and seasons. A case study of the 2002 Southwest U.S. drought showed ETo predictions better captured the spatial extent and severity levels of drought compared to precipitation forecasts. Overall, the use of ETo anomalies could help add confidence to drought outlooks when combined with other drought indicators in seasonal forecasts.
Thailand flood v1
Flooding is an annual issue in Thailand, especially in the central region around the Chao Phraya River Basin. The worst flooding in the last 50 years occurred in 2011, causing an estimated $46.5 billion in economic losses. Spatial data from various sources such as satellite imagery, sensor data, and digital elevation models were used to monitor and manage the 2011 floods. However, communication problems led to public confusion. Since then, Thailand has developed new flood monitoring and warning tools, including a National Hydroinformatics and Climate Data Center to better centralize data and inform the public.
Coupling of Surface water and Groundwater Models
This document presents a case study of coupling surface water and groundwater models in the Netravathi river basin located in southern India. It summarizes the data collected and methodology used. Key data included a digital elevation model, soil data, land use/land cover maps, rainfall and weather data, hydrological data including streamflow, and groundwater levels. The methodology involved using SWAT to model surface water hydrology and estimate groundwater recharge, then coupling the SWAT outputs to a MODFLOW groundwater model to allow a more complete analysis of the regional hydrological system.
Spatial variations of the flood and drought in the northern
The International Institute for Science, Technology and Education (IISTE). Science, Technology and Medicine Journals Call for Academic Manuscripts
2014 STAR Program
1. The described lesson plan is designed for 10th grade Biology students to analyze rainfall data from Kenya over two class periods totaling 90 minutes.
2. Students will work in groups to critically examine rainfall data sets from Lodwar, Kenya to draw conclusions about the climate of the unidentified location. They will then present their conclusions to their peers and a NOAA employee.
3. The lesson addresses scientific inquiry skills like data analysis and aims to demonstrate how scientific knowledge can change with new evidence. Students will practice collaboration, communication, and applying concepts of climate and the scientific method.
Climate change perception: A case study of Bardiya National Park (BNP), Thaku...
Climate Change perception: talks about the need of including social dimension in research and identifying the people understanding of climate change in buffer zone of Bardia National Park, Nepal.
Ionospheric Behaviour Analysis over Thailand Using Radio Occultation Technique
With the advent in the development of science and technology in the field of space and atmospheric science in
order to obtain accurate result, hence the use of radio occultation technique in the investigation of the amount of
electron density and Total Electron Content presence in equatorial region particularly over Thailand. In this
research, radio occultation data obtained from UCAR/CDAAC was used to observe daily, monthly, seasonal and
the entire year 2013 Ionospheric TEC and electron density variation due to changes and instability of solar
activities from time to time. It was observed that TEC was high (ionosphere was more disturbed or violent) in
May and spread over a wide range of altitude and summer season has the highest TEC value for the year 2013
which means at this period GNSS measurements was more prone to error. It was noted that ionospheric
variations or fluctuations was maximum between 200km and 450km altitude. The results of the study show that
ionospheric perturbation effects or irregularities depend on season and solar activity.
Effectiveness of the telemetric flood monitoring device
This document summarizes a study that aimed to determine the best telemetric flood monitoring device design between a floating sensor design and an ultrasonic sensor design. Twenty trials were conducted to test the water level readings and response times of each design. The results showed that the floating sensor design had an average actual water level reading of 7.55 inches, while the ultrasonic sensor was 5.90 inches. The average response time for the floating sensor was 7.90 seconds and 12.67 seconds for the ultrasonic sensor. The study concluded that the floating sensor design was more effective based on the water level readings and faster response times.
Hydrogeology problems.pdf
This document presents a textbook on hydrogeology that focuses on solving numerical problems. It contains 10 chapters that cover various aspects of hydrogeology like the hydrological cycle, morphometric analysis, groundwater flow, well hydraulics, groundwater quality, and more. Each chapter provides worked examples and step-by-step solutions to typical hydrogeological calculation problems. There are also 13 appendices that contain supplementary reference tables, as well as a glossary and bibliography. The textbook is intended to be a comprehensive resource for students, professionals, and researchers working in hydrogeology and related fields.
IRJET - Prediction of Ground Water Level based on Machine Learning
1) The document discusses using machine learning algorithms to predict groundwater levels based on factors like rainfall, temperature, and humidity.
2) Models were developed using statistical analysis, random forests, logistic regression, and decision trees to predict daily, weekly and monthly groundwater levels.
3) Field surveys were conducted to collect groundwater level data from observation wells over time. Factor analysis was used to analyze correlations between input parameters and develop predictive models.
LAND SURFACE TEMPERATURE AND ITS CORRELATION WITH VEGETATION COVER USING LAND...
The document analyzes land surface temperature (LST) and its correlation with vegetation cover in Gorakhpur, Uttar Pradesh using Landsat data from 2013, 2016, and 2019. LST was measured using Landsat thermal bands, while normalized difference vegetation index (NDVI) characterized vegetation cover. Analysis found that LST increased from 17.34°C in 2013 to 20.785°C in 2019, while NDVI decreased from 0.345 to 0.171 over the same period, indicating less vegetation cover. A correlation coefficient of -0.8 showed that LST and NDVI have a strong negative correlation, with increasing temperature associated with decreasing vegetation.
Andy Fox DART
The Data Assimilation Research Testbed (DART) is open source software that provides ensemble data assimilation and filtering algorithms to enable ecological forecasting. It has been used with over 100 models and assimilates many observation types. DART is being applied at the National Ecological Observatory Network (NEON) to help predict ecological processes by assimilating NEON field observations into land surface models.
Paddy field classification with MODIS-terra multi-temporal image transformati...
This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
design_and_implementation_of_a_low_cost_weather_monitoring_system_nigerian_ge...
This document describes the design and implementation of a low cost mini weather monitoring system. The system uses an Arduino Mega 2560 microcontroller along with sensors to measure temperature, humidity, pressure, and light intensity. It also approximates dew point temperature and calculates altitude. Measurements taken with the system over a period of 8 days were analyzed and found to have less than 2% error when compared to data from official weather sources, validating the accuracy of the low cost system. The system provides an affordable option for weather monitoring that could help address the lack of weather data availability in many rural areas.
Term paper.pptx
This document discusses a term paper presentation on recent developments, challenges, and opportunities related to climate data. It outlines the objectives and significance of studying this topic, and reviews literature on data sparsity in Africa due to declining weather stations, issues with data accessibility, and quality challenges. Recent opportunities include increased data from satellites, reanalysis models, and climate simulations, though data gaps remain an obstacle for climate research and applications in Africa.
Global Climate Change: Drought Assessment + Impacts
This presentation outlined the purposes, methods, data analyses, results and conclusions of four selected articles in remotely sensed regional and global drought assessments and impacts for global environmental change. This presentation was developed and presented by Richard Maclean, doctoral student in Geography at Clark University and Jenkins Macedo, Master of Science candidate in Envrionmental Science and Policy at Clark University.
Similar to Approaches to exploring drought using satellite data (20)
Time Series Analysis of Rainfall in North Bangalore Metropolitan Region using...
Time Series Analysis of Rainfall in North Bangalore Metropolitan Region using...
Extraction of Water-body Area from High-resolution Landsat Imagery
Extraction of Water-body Area from High-resolution Landsat Imagery
Monthly precipitation forecasting with Artificial Intelligence.
Monthly precipitation forecasting with Artificial Intelligence.
Monitoring NDTI-River Temperature relationship along the river ganga in the s...
Monitoring NDTI-River Temperature relationship along the river ganga in the s...
Adding Confidence to Seasonal Drought Forecasts using reference evapotranspir...
Adding Confidence to Seasonal Drought Forecasts using reference evapotranspir...
Spatial variations of the flood and drought in the northern
Spatial variations of the flood and drought in the northern
Climate change perception: A case study of Bardiya National Park (BNP), Thaku...
Climate change perception: A case study of Bardiya National Park (BNP), Thaku...
Ionospheric Behaviour Analysis over Thailand Using Radio Occultation Technique
Ionospheric Behaviour Analysis over Thailand Using Radio Occultation Technique
Effectiveness of the telemetric flood monitoring device
Effectiveness of the telemetric flood monitoring device
IRJET - Prediction of Ground Water Level based on Machine Learning
IRJET - Prediction of Ground Water Level based on Machine Learning
LAND SURFACE TEMPERATURE AND ITS CORRELATION WITH VEGETATION COVER USING LAND...
LAND SURFACE TEMPERATURE AND ITS CORRELATION WITH VEGETATION COVER USING LAND...
Paddy field classification with MODIS-terra multi-temporal image transformati...
Paddy field classification with MODIS-terra multi-temporal image transformati...
design_and_implementation_of_a_low_cost_weather_monitoring_system_nigerian_ge...
design_and_implementation_of_a_low_cost_weather_monitoring_system_nigerian_ge...
Global Climate Change: Drought Assessment + Impacts
Global Climate Change: Drought Assessment + Impacts
More from Institute of Space Knowledge Development
Spce technologies for disaster in thailand
The document summarizes the Geospatial Information and Space Technology Development Agency (GISTDA) of Thailand's use of space technology for disaster risk reduction. GISTDA utilizes satellite data and imagery to monitor and map natural disasters such as droughts, forest fires, and floods affecting Thailand. Satellite data from THEOS, SPOT, RADARSAT, and other satellites are used to detect hazards, assess damage from events, and disseminate information to authorities and the public through online maps and reports.
Flood hazard mapping four provinces of cambodia
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Future direction of geoinfomatics
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
Drought risk and crisis management cambodia
1. The study aims to provide decision support for drought risk and crisis management in Cambodia using remote sensing data.
2. TRMM and MODIS data will be used to identify drought prone areas and monitor drought conditions. TRMM data will be used to classify drought prone areas while TVDI derived from MODIS will assess water stress.
3. The results can help identify areas for drought preparedness and mitigation as well as monitor drought response efforts. Remote sensing shows potential for drought monitoring when validated with ground data.
Rain triggered landslide hazard analysis
1) The document discusses a case study using the SINMAP model to conduct rain-triggered landslide hazard analysis in Nan Province, Thailand.
2) The SINMAP model combines an infinite slope stability model with a steady-state hill slope hydrology model to analyze landslide hazards under different rainfall and land cover scenarios.
3) The results of the analysis found that about 22% of historical landslides were in areas classified as having low hazard, while 49% occurred in areas of high hazard, indicating the model was effective at predicting landslide occurrence.
Natural disasters reduction in thailand
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Near real time automatic modis fire information
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Current trends of disasters in the asia pacific region
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Realixing a national disaster risk reduction program
1) The document discusses how to effectively provide disaster information to end users.
2) It identifies different types of information needed like damage reports, images, and descriptions that can be collected and transmitted orally, via phone, fax, email or satellite images.
3) The information then needs to be interpreted or analyzed and cooked in a way that is easily understood by different end users like citizens, local governments to aid in emergency response, recovery and preparedness efforts.
Summery of project outcome
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
ADRC Activities & Project introduction
The document summarizes the activities of the Asian Disaster Reduction Center (ADRC) including information sharing, human resource development, and community capacity building. It describes ADRC's Sentinel Asia program which utilizes satellite data from partner agencies for disaster management purposes. The goal of ADRC's Japan-ASEAN cooperation project is to build capacity for utilizing satellite images in producing disaster-related information and products through training workshops and seminars in ASEAN countries.
Geo informatics for land suitability in growing certain crops
Geo informatics for land suitability in growing certain cropsInstitute of Space Knowledge Development
This document outlines a study that aims to model land suitability evaluation for growing certain crops in Lop Buri province, Thailand using geo-informatics technology. The study will integrate land quality factors like soil properties, climate, and erosion risk to create individual and combined land suitability maps for crops like rice, corn, sugarcane, cassava, and sunflower. Field data on crop requirements, soil characteristics, and land use will be analyzed in a GIS along with economic and social data to validate the land suitability maps. The results are expected to improve land management and identify optimal areas for different agricultural activities.Accurate satellite mapping for government agricultural management
Accurate satellite mapping for government agricultural managementInstitute of Space Knowledge Development
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, ThailandApplication of satellite imagery
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, Thailand
Disease Epidemic and Severity of Rice Blast, Rice Brown Spot and Rice Narrow...
Disease Epidemic and Severity of Rice Blast, Rice Brown Spot and Rice Narrow...Institute of Space Knowledge Development
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, ThailandThe potential use of theos satellite image for land use survey
The potential use of theos satellite image for land use surveyInstitute of Space Knowledge Development
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, ThailandAn application of theos data for the encroachment of agriculture on forest re...
An application of theos data for the encroachment of agriculture on forest re...Institute of Space Knowledge Development
This document analyzes changes in land use and the encroachment of agriculture on forest reserves in Phu Luang Wildlife Sanctuary, Loei Province, Thailand between 1997-2010 using satellite imagery. The methodology involved classifying land use from Landsat images in 1997, 2001, 2005, and THEOS data in 2010, validating with field surveys. The results showed forest area decreased 15.28 sq km while agriculture increased 27.93 sq km over this period, demonstrating ongoing encroachment on the forest reserve despite protection measures.Polarization signature analysis of paddy rice in southern china
Polarization signature analysis of paddy rice in southern chinaInstitute of Space Knowledge Development
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, ThailandAgriculture drought with remote sensing
This document discusses using remote sensing for agricultural drought monitoring in China. It presents several methods:
1) Various remote sensing indices are used to monitor vegetation conditions, surface temperature, and soil moisture from sensors including AVHRR and MODIS.
2) Models are developed to relate the indices to soil moisture measurements from monitoring stations.
3) The models are validated and incorporated into an operational drought monitoring system called DroughtWatch to monitor drought conditions across China.
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Institute of Space Knowledge Development
Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, ThailandMore from Institute of Space Knowledge Development (20)
Current trends of disasters in the asia pacific region
Current trends of disasters in the asia pacific region
Realixing a national disaster risk reduction program
Realixing a national disaster risk reduction program
Geo informatics for land suitability in growing certain crops
Geo informatics for land suitability in growing certain crops
Accurate satellite mapping for government agricultural management
Accurate satellite mapping for government agricultural management
Disease Epidemic and Severity of Rice Blast, Rice Brown Spot and Rice Narrow...
Disease Epidemic and Severity of Rice Blast, Rice Brown Spot and Rice Narrow...
The potential use of theos satellite image for land use survey
The potential use of theos satellite image for land use survey
An application of theos data for the encroachment of agriculture on forest re...
An application of theos data for the encroachment of agriculture on forest re...
Polarization signature analysis of paddy rice in southern china
Polarization signature analysis of paddy rice in southern china
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...
Recently uploaded
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
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.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Epistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Recently uploaded (20)
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Approaches to exploring drought using satellite data
- 1. Approaches to exploring drought using satellite data Charat Mongkolsawat and Thapanee Kamchai Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 3. Objective
- 4. Study Area
- 5. Method
- 6. Results and Discussion
- 7. ConclusionGeo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 9. Lack of water has profound impact on crop management particularly in the areas where irrigation is not available.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 11. Satellite data offers effective opportunities instead of collecting huge volume of climatic data.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 13. To identify some of the satellite derived indicators best suited for the Northeast Thailand.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 15. Geology Cassava Topography Soil Forest Sugarcane Paddy Field Rainfall Rubber 3. Study Area (Cont.) Landuse Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 17. Multitemporal Terra-Modis data of the 16 day composite image data at 250 m resolution during the period 2001-2008 and 2010 available from WIST (https://wist.echo.nasa.gov) Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 19. The cumulative rainfalls summed over the preceding months and its slope gradient for each year.
- 20. Spatial interpolation of mean annual rainfall for 8 years performed using Inverse Distance Weighted method.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 23. 4. Method (Cont.) Satellite derived indices: The Normalized Difference Vegetation Index NDVI= (ρNIR - ρRed) / (ρNIR + ρRed) Where ρNIR and ρRed are the reflectance values at 0.857 μm and 0.645 μm, respectively The Normalized Difference Water Index NDWI= (ρNIR - ρSWIR) / (ρNIR + ρSWIR) Where ρNIR and ρSWIR are the reflectance values at 0.857 μm and 1.65 μm, respectively Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 24. 4. Method (Cont.) Satellite derived indices: The Normalized Difference Drought Index NDDI= (NDVI- NDWI) / (NDVI + NDWI) Where NDVI = The Normalized Difference Vegetation Index NDWI = The Normalized Difference Water Index (Proposed by Gu et al 2007) Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 26. dNDVI = NDVI1 - NDVI2
- 28. The step of SD from the mean dNDVI or dNDWI determines the magnitude of the change.
- 29. -1SD to 1SD = no change
- 30. The severity of drought can be derived from the SD step, the greater SD step the higher change.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 34. Increase of NDDI values occurs during the dry period.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 36. No distinction of NDVI values with increasing or decreasing water content can be observed.
- 37. Greater response to drought is remarkably identified by NDWI and NDDI values.
- 38. NDDI values are more sensitive and evident for drought identification as a result of greenness and water content.Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
- 41. NDWI Spatial NDWI over the Northeast Spatio-temporal NDWI for the years 2001-2008 and 2010
- 42. Spatial NDDI over the Northeast Spatio-temporal NDDI for the years 2001-2008 and 2010
- 46. Thank you for your attention Geo-informatics Center for the Development of Northeast Thailand, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand