Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management.
This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.
1. Water, Land, and Forest Susceptibility and Sustainability - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. Foreword - p. Page vii 8. List of Illustrations - p. Page ix 9. List of Tables - p. Page x 10. Chapter 1 : Theoretical framework and approaches of susceptibility and sustainability: issues and drivers - p. Page x 11. Chapter 2 : Trap efficiency of reservoirs: concept, review, and application - p. Page 21 12. Chapter 3 : GIS for Watershed Characterization and Modeling: example of the Taguenit River (Lakhssas, Morocco)∗ - p. Page 56 13. Chapter 4 : Application of artificial intelligence to estimate dispersion coefficient and pollution in river - p. Page 80 14. Chapter 5 : Predicting nitrate concentration in river using advanced artificial intelligence techniques: extreme learning machines versus deep learning - p. Page 110 15. Chapter 6 : Polluted water bodies remediation by using GIS and remote sensing approach: a deeper insight - p. Page 149 16. Chapter 7 : GIS-based spatial distribution analysis of water quality assessment using water pollution index of Yamuna river at Delhi - p. Page 165 17. Chapter 8 : Groundwater sustainability: role of monitoring, modeling, and management - p. Page 206 18. Chapter 9 : Landslide susceptibility modeling using a generalized linear model in a tropical river basin of the Southern Western Ghats, India - p. Page 229 19. Chapter 10 : Assessment of the land use and landcover changes using remote sensing and GIS techniques - p. Page 261 20. Chapter 11 : Mapping and monitoring land dynamics using geospatial techniques on Pathar Pratima Block, South 24 Parganas, India - p. Page 291 21. Chapter 12 : Geospatial technologies to investigate the wetland susceptibility to environmental challenges and identify sustainability options - p. Page 322 22. Chapter 13 : Evaluation of spatial and temporal variability in rainfall erosivity and soil erosion risk in Maharashtra, India - p. Page 349 23. Chapter 14 : Soil erosion modeling under future climate change: a case study on Marinduque Island, Philippines - p. Page 376 24. Chapter 15 : Forest fire susceptibility mapping and risk assessment using integrated AHP and DEMATEL method for Purulia District, West Bengal (India) - p. Page 392 25. Chapter 16 : Decline in vegetation cover over Kolkata city: an environmental concern from remote-sensing perspective - p. Page 445 26. Chapter 17 : Understanding the forest cover dynamics and its health status using GIS-based analytical hierarchy process: a study from Alipurduar district, West Bengal, India - p. Page 470 27. Chapter 18 : Detection of forest fragmented areas of Sonitpur, Lakhimpur, and Papum Reserve Forest using the FCD model - p. Page 501 28. Index - p. Page 541
Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management.
This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.
1. Water, Land, and Forest Susceptibility and Sustainability - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. Foreword - p. Page vii 8. List of Illustrations - p. Page ix 9. List of Tables - p. Page x 10. Chapter 1 : Theoretical framework and approaches of susceptibility and sustainability: issues and drivers - p. Page x 11. Chapter 2 : Trap efficiency of reservoirs: concept, review, and application - p. Page 21 12. Chapter 3 : GIS for Watershed Characterization and Modeling: example of the Taguenit River (Lakhssas, Morocco)∗ - p. Page 56 13. Chapter 4 : Application of artificial intelligence to estimate dispersion coefficient and pollution in river - p. Page 80 14. Chapter 5 : Predicting nitrate concentration in river using advanced artificial intelligence techniques: extreme learning machines versus deep learning - p. Page 110 15. Chapter 6 : Polluted water bodies remediation by using GIS and remote sensing approach: a deeper insight - p. Page 149 16. Chapter 7 : GIS-based spatial distribution analysis of water quality assessment using water pollution index of Yamuna river at Delhi - p. Page 165 17. Chapter 8 : Groundwater sustainability: role of monitoring, modeling, and management - p. Page 206 18. Chapter 9 : Landslide susceptibility modeling using a generalized linear model in a tropical river basin of the Southern Western Ghats, India - p. Page 229 19. Chapter 10 : Assessment of the land use and landcover changes using remote sensing and GIS techniques - p. Page 261 20. Chapter 11 : Mapping and monitoring land dynamics using geospatial techniques on Pathar Pratima Block, South 24 Parganas, India - p. Page 291 21. Chapter 12 : Geospatial technologies to investigate the wetland susceptibility to environmental challenges and identify sustainability options - p. Page 322 22. Chapter 13 : Evaluation of spatial and temporal variability in rainfall erosivity and soil erosion risk in Maharashtra, India - p. Page 349 23. Chapter 14 : Soil erosion modeling under future climate change: a case study on Marinduque Island, Philippines - p. Page 376 24. Chapter 15 : Forest fire susceptibility mapping and risk assessment using integrated AHP and DEMATEL method for Purulia District, West Bengal (India) - p. Page 392 25. Chapter 16 : Decline in vegetation cover over Kolkata city: an environmental concern from remote-sensing perspective - p. Page 445 26. Chapter 17 : Understanding the forest cover dynamics and its health status using GIS-based analytical hierarchy process: a study from Alipurduar district, West Bengal, India - p. Page 470 27. Chapter 18 : Detection of forest fragmented areas of Sonitpur, Lakhimpur, and Papum Reserve Forest using the FCD model - p. Page 501 28. Index - p. Page 541
