Description
Applications of Geospatial Technology and Modeling for River Basin Management, Volume Twelve covers the use of multi-temporal satellite data for accurate estimations of different watershed features. It includes methods and case studies of the use of geographic information systems (GIS) as a valuable tool for criteria-based spatial analysis to manage natural resources and accurately simulate natural phenomena such as the hydrologic response of a watershed to precipitation and susceptibility to water erosion. The book also provides direction on many types of modelling and mapping techniques in geospatial environments based on river basin management challenges. This book will be a useful guide for academics, researchers, and practitioners involved in the use of geospatial technologies for river basin management, as well as those interested in environmental management and Earth surface geomorphology.- Covers the use of geospatial technologies and modeling for effective management of river basins- Includes methodology and detailed case studies showing real-world applications at a variety of scales- Emphasizes the importance of integrating geospatial tools in decision-making processes for sustainable water resource management
Table of Contents
1. Recent land use land cover changes, demographic transition and rainfall trends in a middle Himalayan watershed2. Hypsometric Analysis for Erosion Susceptibility of Karnaphuli Watershed, Bangladesh, using Remote Sensing and GIScience3. Impact analysis of the 2022 flood event in Sylhet and Sunamganj using Google Earth Engine4. Geographical Appraisal of Basin Hydrological Phenomenon Using Google Earth Engine5. Arsenic enrichment in groundwater mechanism through hydro-geochemical control, mobilization and sorption in the lower Gangetic basin in West Bengal6. Geo-Spatial Technique Based Flood Hazard Assessment and Mapping: A Case Study of Orang National Park, Assam, India7. Anatomization of Flood Risk and Vulnerability using AHP and Frequency Ratio in Dibrugarh District of Assam, India8. Quantifying Land use / land cover dynamics and fragmentation analysis along the stretch of Bhagirathi River in Murshidabad District, West Bengal9. 2D hydro-numeric flood modelling using open-source software QGIS and freeware BASEMENT (V3) on a section of the Elbe River in Magdeburg, Germany10. Drought monitoring using a water scalar index11. Agricultural Drought Monitoring Using Google Earth Engine: A Study of Paschim Medinipur District, West Bengal12. Geo-Spatial and Statistical Techniques of Regionalization for River Basin Management13. Analysis of Watershed Attributes for Water Resource Management Using Geospatial Technology: A Case Study of Haringmuri Watershed14. Ecological and Economical Services of Coastal Landscape: A Case Study on Ramnagar-I and II Block, Purba Medinipur, West Bengal, India15. Comparative study of remote sensing derived indices for meteorological and agricultural drought monitoring in GIS environment: A review16. GIS-based Statistical Mapping of Socio-economic Vulnerability in the Upper Citarum River, West Java Province, Indonesia17. Assessing the impact of channel migration and bank erosion on the loss of agricultural land and LULC change in the lower course of Kankai Mai River - a geospatial approach18. Geo-spatial modeling of Potential soil erosion estimation for sustainable soil conservation planning and management19. Assessment of Riverbank Erosion and Its Prediction using Geospatial and Machine learning Techniques20. Impact of soil erosion and resultant sediment yield on different stream orders21. Prediction of gully erosion vulnerability using geospatial tools and machine learning algorithms: A critical review22. Community Preferences in the Adaptation of River Neighbourhood at Skudai River, Malaysia23. Estimation of soil erosion risk and vulnerable zone using RUSLE and GIS approaches24. Monitoring of Land Degradation and Desertification using the state-of-the-art methods and remote sensing data25. Impact of rapid urbanization on groundwater environment: A geospatial analysis with special reference to Bolpur-Sriniketan C.D. Block Of Birbhum District in lower Ajay river basin since last decade26. Water management sustainability evaluation at the river basin level: concept, methodology, and application27. A Machine Learning Methodology to Calculate the Percentage of Areas Affected by Drought in Brazil in Map Images
