Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.
Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. xiii 8. Foreword - p. xvii 9. Preface - p. xix 10. Chapter 1 Frontier technology and application of remote sensing in agriculture for combating climate change - p. 1 11. Chapter 2 Synergizing remote sensing and geospatial analytics: A systematic review of land-cover effects on thermal comfort - p. 21 12. Chapter 3 A comprehensive review of drought risk mapping: Harnessing remote sensing and machine learning innovations - p. 41 13. Chapter 4 Social innovations and urban climate change adaptation in African informal settlements - p. 59 14. Chapter 5 Understanding the effects of climate change in the Chhattisgarh state from stakeholder perspective - p. 87 15. Chapter 6 Addressing urban overheating in India: Best practice from key cities - p. 99 16. Chapter 7 Geospatial analysis of health facilities in Ihiala and its environs using remote sensing and GIS - p. 119 17. Chapter 8 Impact of climate change and human pressures on water resources in the Nefifikh Basin, Morocco: Diagnosis and analysis using geomatics techniques - p. 147 18. Chapter 9 Assessment of inherent optical properties in Chilika Lagoon using C2RCC and in situ observations - p. 171 19. Chapter 10 Mapping and monitoring of climate change applications using LiDAR - p. 183 20. Chapter 11 Participatory approach to geographic information systems-based mapping and monitoring of urban data through capacity building - p. 199 21. Chapter 12 Enhanced cloudburst prediction using integrated conventional and recurrent neural networks with satellite imagery and meteorological data - p. 225 22. Chapter 13 Characterizing biseasonal intrabar grain roughness variations in a Darjeeling-Himalayan foothill river: Insights into monsoon-sensitive fluvial response - p. 251 23. Chapter 14 Presenting the climate-informed factor model: A framework for evaluating the environmental unsustainability of single-family residences in the context of an approaching climate crisis - p. 265 24. Chapter 15 Integrating Sentinel-1 SAR data with Google Earth Engine for enhanced flood detection in Lakhimpur district in Assam, India - p. 297 25. Chapter 16 Trends and impact of climate variability on cereal crops in Uttar Pradesh: A spatial analysis - p. 319 26. Chapter 17 Comparative analysis of PM10 estimation using MODIS and Landsat ETM data in the Kolkata municipal corporation area - p. 341 27. Chapter 18 Vulnerability assessment and mitigation strategies for disaster-resilient urban growth: Studies on Bhubaneswar, India - p. 375 28. Chapter 19 Comparative assessment of landslide susceptibility of West Sikkim using three machine learning techniques - p. 397 29. Chapter 20 Climate change mitigation, adaptation, and future directions—Case study - p. 421 30. Chapter 21 Enhancing runoff prediction accuracy by integrating soil moisture balance with the Soil Conservation Service Curve Number model for climate change monitoring: A geospatial approach in watershed management - p. 441 31. Chapter 22 Geospatial ANN-MATLAB models for mitigating climate changes: A case study of Vijayawada city, Andhra Pradesh, India - p. 453 32. Chapter 23 A geospatial approach for evaluating channel instability and active bank erosion of the river Ganga-Bhagirathi in West Bengal, India - p. 483 33. Chapter 24 Practice of rat-hole mining and its impact on environmental degradation: A case study in Jaintia Hills, Meghalaya, India - p. 505 34. Chapter 25 Monitoring and mapping river health for environmental sustainability with geospatial techniques—A case study of Catalunya - p. 521 35. Chapter 26 A study of forest fragmentation and its relationship with temperature change in Valmiki Tiger Reserve, India - p. 539 36. Chapter 27 Green and blue spatial infrastructure for climate responsive planning: A case of Navi Mumbai city, India - p. 555 37. Chapter 28 Artificial intelligence at the intersection of urban climate change adaptation - p. 579 38. Chapter 29 Kenya’s Green Belt Movement: A case study in sustainable risk reduction and climate change adaptation - p. 601 39. Chapter 30 Climate resilience in Fiji: Sustainable strategies for mitigating global climate change risks - p. 627 40. Chapter 31 Sustainable approaches for risk reduction of global climate change issues - p. 643 41. Chapter 32 From highways to greenways: The role of the Passante Verde di Mestre in environmental conservation and climate resilience - p. 663 42. Index - p. 681
Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.
Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. xiii 8. Foreword - p. xvii 9. Preface - p. xix 10. Chapter 1 Frontier technology and application of remote sensing in agriculture for combating climate change - p. 1 11. Chapter 2 Synergizing remote sensing and geospatial analytics: A systematic review of land-cover effects on thermal comfort - p. 21 12. Chapter 3 A comprehensive review of drought risk mapping: Harnessing remote sensing and machine learning innovations - p. 41 13. Chapter 4 Social innovations and urban climate change adaptation in African informal settlements - p. 59 14. Chapter 5 Understanding the effects of climate change in the Chhattisgarh state from stakeholder perspective - p. 87 15. Chapter 6 Addressing urban overheating in India: Best practice from key cities - p. 99 16. Chapter 7 Geospatial analysis of health facilities in Ihiala and its environs using remote sensing and GIS - p. 119 17. Chapter 8 Impact of climate change and human pressures on water resources in the Nefifikh Basin, Morocco: Diagnosis and analysis using geomatics techniques - p. 147 18. Chapter 9 Assessment of inherent optical properties in Chilika Lagoon using C2RCC and in situ observations - p. 171 19. Chapter 10 Mapping and monitoring of climate change applications using LiDAR - p. 183 20. Chapter 11 Participatory approach to geographic information systems-based mapping and monitoring of urban data through capacity building - p. 199 21. Chapter 12 Enhanced cloudburst prediction using integrated conventional and recurrent neural networks with satellite imagery and meteorological data - p. 225 22. Chapter 13 Characterizing biseasonal intrabar grain roughness variations in a Darjeeling-Himalayan foothill river: Insights into monsoon-sensitive fluvial response - p. 251 23. Chapter 14 Presenting the climate-informed factor model: A framework for evaluating the environmental unsustainability of single-family residences in the context of an approaching climate crisis - p. 265 24. Chapter 15 Integrating Sentinel-1 SAR data with Google Earth Engine for enhanced flood detection in Lakhimpur district in Assam, India - p. 297 25. Chapter 16 Trends and impact of climate variability on cereal crops in Uttar Pradesh: A spatial analysis - p. 319 26. Chapter 17 Comparative analysis of PM10 estimation using MODIS and Landsat ETM data in the Kolkata municipal corporation area - p. 341 27. Chapter 18 Vulnerability assessment and mitigation strategies for disaster-resilient urban growth: Studies on Bhubaneswar, India - p. 375 28. Chapter 19 Comparative assessment of landslide susceptibility of West Sikkim using three machine learning techniques - p. 397 29. Chapter 20 Climate change mitigation, adaptation, and future directions—Case study - p. 421 30. Chapter 21 Enhancing runoff prediction accuracy by integrating soil moisture balance with the Soil Conservation Service Curve Number model for climate change monitoring: A geospatial approach in watershed management - p. 441 31. Chapter 22 Geospatial ANN-MATLAB models for mitigating climate changes: A case study of Vijayawada city, Andhra Pradesh, India - p. 453 32. Chapter 23 A geospatial approach for evaluating channel instability and active bank erosion of the river Ganga-Bhagirathi in West Bengal, India - p. 483 33. Chapter 24 Practice of rat-hole mining and its impact on environmental degradation: A case study in Jaintia Hills, Meghalaya, India - p. 505 34. Chapter 25 Monitoring and mapping river health for environmental sustainability with geospatial techniques—A case study of Catalunya - p. 521 35. Chapter 26 A study of forest fragmentation and its relationship with temperature change in Valmiki Tiger Reserve, India - p. 539 36. Chapter 27 Green and blue spatial infrastructure for climate responsive planning: A case of Navi Mumbai city, India - p. 555 37. Chapter 28 Artificial intelligence at the intersection of urban climate change adaptation - p. 579 38. Chapter 29 Kenya’s Green Belt Movement: A case study in sustainable risk reduction and climate change adaptation - p. 601 39. Chapter 30 Climate resilience in Fiji: Sustainable strategies for mitigating global climate change risks - p. 627 40. Chapter 31 Sustainable approaches for risk reduction of global climate change issues - p. 643 41. Chapter 32 From highways to greenways: The role of the Passante Verde di Mestre in environmental conservation and climate resilience - p. 663 42. Index - p. 681
