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.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Series Page - p. iii 5. Copyright - p. iii 6. List of contributors - p. iii 7. Foreword - p. xxix 8. Preface - p. xxxi 9. Acknowledgment(s) - p. xxxiii 10. Section I - p. xxxiv 11. Section I: Hydrology - p. xxxiv 12. Chapter 1: Recent land use land cover changes, demographic transition, and rainfall trends in middle Himalayan watershed - p. 3 13. Chapter 2: Hypsometric analysis for determining erosion susceptibility of Karnaphuli Watershed, Bangladesh, using remote sensing and GIScience - p. 25 14. Chapter 3: Impact analysis of the 2022 flood event in Sylhet and Sunamganj using Google Earth Engine - p. 47 15. Chapter 4: Geographical appraisal of the basin hydrological phenomenon using Google Earth Engine - p. 71 16. Chapter 5: Arsenic enrichment in the groundwater mechanism through hydrogeochemical control, mobilization, and sorption in the Lower Gangetic Basin in West Bengal - p. 105 17. Chapter 6: Geospatial technique based flood hazard assessment and mapping: a case study of Orang National Park, Assam, India - p. 143 18. Chapter 7: Anatomization of flood risk and vulnerability using the analytical hierarchy process and frequency ratio in Dibrugarh district of Assam, India - p. 171 19. Chapter 8: Quantifying land use/land cover dynamics and fragmentation analysis along the stretch of Bhagirathi River in Murshidabad district, West Bengal - p. 197 20. Chapter 9: 2D hydronumeric flood modeling using open-source software QGIS and freeware BASEMENT (V3) on a section of the Elbe River in Magdeburg, Germany - p. 219 21. Chapter 10: Drought monitoring using the Water Scalar Index - p. 239 22. Section II - p. 255 23. Section II: Edaphology - p. 255 24. Chapter 11: Agricultural drought monitoring using Google Earth Engine: a study of Paschim Medinipur district, West Bengal - p. 261 25. Chapter 12: Geospatial and statistical techniques of regionalization for river basin management - p. 299 26. Chapter 13: Analysis of watershed attributes for water resource management using geospatial technology: a case study of Haringmuri watershed - p. 327 27. Chapter 14: Ecological and economical services of coastal landscape: a case study on Ramnagar-I and II Blocks, Purba Medinipur, West Bengal, India - p. 355 28. Chapter 15: Comparative study of remote sensing-derived indices for meteorological and agricultural drought monitoring: a review - p. 381 29. Chapter 16: Geographic information system-based statistical mapping of socioeconomic vulnerability in the Upper Citarum River, West Java Province, Indonesia - p. 413 30. Chapter 17: Assessing the impact of channel migration and bank erosion on the loss of agricultural land and land use land cover change in the lower course of Kankai Mai River—a geospatial approach - p. 439 31. Chapter 18: Geospatial modeling of potential soil erosion estimation for sustainable soil conservation planning and management - p. 457 32. Chapter 19: Assessment of riverbank erosion and its prediction using geospatial and machine learning techniques - p. 493 33. Section III - p. 506 34. Section III: Environment and sustainability - p. 506 35. Chapter 20: Impact of soil erosion and resultant sediment yield on different stream orders - p. 513 36. Chapter 21: Prediction of gully erosion vulnerability using geospatial tools and machine learning algorithms: a critical review - p. 537 37. Chapter 22: Community preferences in the adaptation of river neighborhood at Skudai River, Malaysia - p. 565 38. Chapter 23: Estimation of soil erosion risk and vulnerable zone using the revised universal soil loss equation and geographic information system approaches - p. 597 39. Chapter 24: Monitoring land degradation and desertification using the state-of-the-art methods and remote sensing data - p. 627 40. Chapter 25: Impact of rapid urbanization on the groundwater environment: a geospatial analysis with a special reference to Bolpur-Sriniketan C.D. Block of Birbhum District in the lower Ajay river basin in the last decade - p. 655 41. Chapter 26: Water management sustainability evaluation at the river basin level: concept, methodology, and application - p. 677 42. Chapter 27: A machine learning methodology to calculate the percentage of areas affected by drought in Brazil in map images - p. 701 43. Index - p. 715
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.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Series Page - p. iii 5. Copyright - p. iii 6. List of contributors - p. iii 7. Foreword - p. xxix 8. Preface - p. xxxi 9. Acknowledgment(s) - p. xxxiii 10. Section I - p. xxxiv 11. Section I: Hydrology - p. xxxiv 12. Chapter 1: Recent land use land cover changes, demographic transition, and rainfall trends in middle Himalayan watershed - p. 3 13. Chapter 2: Hypsometric analysis for determining erosion susceptibility of Karnaphuli Watershed, Bangladesh, using remote sensing and GIScience - p. 25 14. Chapter 3: Impact analysis of the 2022 flood event in Sylhet and Sunamganj using Google Earth Engine - p. 47 15. Chapter 4: Geographical appraisal of the basin hydrological phenomenon using Google Earth Engine - p. 71 16. Chapter 5: Arsenic enrichment in the groundwater mechanism through hydrogeochemical control, mobilization, and sorption in the Lower Gangetic Basin in West Bengal - p. 105 17. Chapter 6: Geospatial technique based flood hazard assessment and mapping: a case study of Orang National Park, Assam, India - p. 143 18. Chapter 7: Anatomization of flood risk and vulnerability using the analytical hierarchy process and frequency ratio in Dibrugarh district of Assam, India - p. 171 19. Chapter 8: Quantifying land use/land cover dynamics and fragmentation analysis along the stretch of Bhagirathi River in Murshidabad district, West Bengal - p. 197 20. Chapter 9: 2D hydronumeric flood modeling using open-source software QGIS and freeware BASEMENT (V3) on a section of the Elbe River in Magdeburg, Germany - p. 219 21. Chapter 10: Drought monitoring using the Water Scalar Index - p. 239 22. Section II - p. 255 23. Section II: Edaphology - p. 255 24. Chapter 11: Agricultural drought monitoring using Google Earth Engine: a study of Paschim Medinipur district, West Bengal - p. 261 25. Chapter 12: Geospatial and statistical techniques of regionalization for river basin management - p. 299 26. Chapter 13: Analysis of watershed attributes for water resource management using geospatial technology: a case study of Haringmuri watershed - p. 327 27. Chapter 14: Ecological and economical services of coastal landscape: a case study on Ramnagar-I and II Blocks, Purba Medinipur, West Bengal, India - p. 355 28. Chapter 15: Comparative study of remote sensing-derived indices for meteorological and agricultural drought monitoring: a review - p. 381 29. Chapter 16: Geographic information system-based statistical mapping of socioeconomic vulnerability in the Upper Citarum River, West Java Province, Indonesia - p. 413 30. Chapter 17: Assessing the impact of channel migration and bank erosion on the loss of agricultural land and land use land cover change in the lower course of Kankai Mai River—a geospatial approach - p. 439 31. Chapter 18: Geospatial modeling of potential soil erosion estimation for sustainable soil conservation planning and management - p. 457 32. Chapter 19: Assessment of riverbank erosion and its prediction using geospatial and machine learning techniques - p. 493 33. Section III - p. 506 34. Section III: Environment and sustainability - p. 506 35. Chapter 20: Impact of soil erosion and resultant sediment yield on different stream orders - p. 513 36. Chapter 21: Prediction of gully erosion vulnerability using geospatial tools and machine learning algorithms: a critical review - p. 537 37. Chapter 22: Community preferences in the adaptation of river neighborhood at Skudai River, Malaysia - p. 565 38. Chapter 23: Estimation of soil erosion risk and vulnerable zone using the revised universal soil loss equation and geographic information system approaches - p. 597 39. Chapter 24: Monitoring land degradation and desertification using the state-of-the-art methods and remote sensing data - p. 627 40. Chapter 25: Impact of rapid urbanization on the groundwater environment: a geospatial analysis with a special reference to Bolpur-Sriniketan C.D. Block of Birbhum District in the lower Ajay river basin in the last decade - p. 655 41. Chapter 26: Water management sustainability evaluation at the river basin level: concept, methodology, and application - p. 677 42. Chapter 27: A machine learning methodology to calculate the percentage of areas affected by drought in Brazil in map images - p. 701 43. Index - p. 715
