Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XIV, 341 p. 102 illus., 100 illus. in color).

Edition: 1st ed. 2024

ISBN: 978-3-031-52561-2

Series Statement: Geotechnologies and the Environment 26

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52560-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52562-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52563-6

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XIV, 341 p. 102 illus., 100 illus. in color).

Edition: 1st ed. 2024

ISBN: 978-3-031-52561-2

Series Statement: Geotechnologies and the Environment 26

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52560-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52562-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52563-6

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XIV, 341 p. 102 illus., 100 illus. in color).

Edition: 1st ed. 2024

ISBN: 978-3-031-52561-2

Series Statement: Geotechnologies and the Environment 26

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52560-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52562-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52563-6

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource(XIV, 341 p. 102 illus., 100 illus. in color.)

Edition: 1st ed. 2024.

ISBN: 9783031525612

Series Statement: Geotechnologies and the Environment 26

Content: 1. Insights into the Multifaceted Application of Technology to Empower Disaster Resilience: A Geospatial Perspective (Swagata Ghosh, Maya Kumari, Varun Narayan Mishra) -- 2. River Conservation and Water Resource Management (Prameena Sheeja J.L, Priyanka N, G.Bhaskaran) -- 3. Morphometric Analysis for Prioritizing Sub-watersheds of Chulband River basin, India, using Geospatial Techniques (Padala Raja Shekar, Aneesh Mathew) -- 4. A GIS Based Study of the Effects of Groundwater, Soil Quality and Rainfall on Agriculture in Bagh River Basin, India (Nanabhau Kudnar, Varun Narayan Mishra, Devendra Bisen, Vasudev Salunke, Ravindra Bhagat) -- 5. Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as response to Climate Change in a semiarid region of Karnataka, India (Sanjay Kumar, Krishna Kumar S, S. A. Ahmed, Jyothika Karkala) -- 6. AI-based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, India (Padala Raja Shekar, Aneesh Mathew) -- 7. Building Flood Resilience through Flood Risk Assessment with Optical and Microwave Remote Sensing (Kumar Rajeev) -- 8. Satellite Image-Based Drought Monitoring, -Vision to Enhance Drought Resilience (S.L. Borana, S.K.Yadav) -- 9. The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practices, Challenges, and Opportunities (Atharva Awatade, Pratap Pawar, Lakshmi D) -- 10. Machine Learning for forest fire Risk and Resilience (Smita Varma, Soumendu Shekar Roy, Praveen Kumar Rai) -- 11. Advanced Application of Unmanned Aerial Vehicle (UAV) for Rapid Surveying and Mapping: A case study from Maharashtra, India (Nandakishore, Swati Sharma, Avaneesh Kumar) -- 12. Application of Digital Technologies & Remote Sensing In Precision Agriculture for Sustainable Crop Production (Mohammad Usama) -- 13. Advances in Soil Resource Management in Geoinformatics Domain: A Comprehensive Review (Ragini Kumari, B.K. Vimal, Praveen Kumar Rai, Sunita Paswan, Rahul Kumar Misra) -- 14. Smart Village Planning towards Sustainability using Geospatial techniques-A case study of Muzaffarnagar district, India (Gaurav Tripathi, Ritambhara Kumari Upadhyay, Chandra Shekhar Dwivedi, Achala Shakya) -- 15. A Review of Spatial Analysis Techniques Used for LULC Change Detection Over Delhi NCR in the Past Two Decades (Yashvita Tamrakar, Swati Sharma) -- 16. Assessment of Spatial and Temporal Changes in Strength of Vegetation using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI): A Case Study from Akola District, Central India (Abhijeet Ambadkar, Pranali Kathe, Chaitanya Pande, Pranaya Diwate) -- 17. Particle Pollution and Health - Risk and Resilience Evaluation (Ambrina Sardar Khan, Prateek Srivastava) -- 18. Resilience & Vulnerability: Concepts and Policy Contexts (Ambrina Sardar Khan, Prateek Srivastava).

Content: This book covers theoretical concepts of climate change related phenomena, different components of geospatial technology and application of geospatial technology on analysis of climate changes. Besides the book will also cover different characteristics of climate resilience, how resilience relates to the adaptation and mitigation and role of geospatial science, techniques, and tools in building climate resilience of a society. This text is suitable for researchers, academicians, urban planners, environmentalists, policy makers, scientists, ecologists, administrators etc.

Additional Edition: ISBN 9783031525605

Additional Edition: ISBN 9783031525629

Additional Edition: ISBN 9783031525636

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031525605

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031525629

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031525636

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: lizenzpflichtig

UID:

Format: XIV, 341 p. 1 illus. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031525612

Series Statement: Geotechnologies and the Environment, 26

Content: This book covers theoretical concepts of climate change related phenomena, different components of geospatial technology and application of geospatial technology on analysis of climate changes. Besides the book will also cover different characteristics of climate resilience, how resilience relates to the adaptation and mitigation and role of geospatial science, techniques, and tools in building climate resilience of a society. This text is suitable for researchers, academicians, urban planners, environmentalists, policy makers, scientists, ecologists, administrators etc.

Note: 1. Insights into the Multifaceted Application of Technology to Empower Disaster Resilience: A Geospatial Perspective (Swagata Ghosh, Maya Kumari, Varun Narayan Mishra) -- 2. River Conservation and Water Resource Management (Prameena Sheeja J.L, Priyanka N, G.Bhaskaran) -- 3. Morphometric Analysis for Prioritizing Sub-watersheds of Chulband River basin, India, using Geospatial Techniques (Padala Raja Shekar, Aneesh Mathew) -- 4. A GIS Based Study of the Effects of Groundwater, Soil Quality and Rainfall on Agriculture in Bagh River Basin, India (Nanabhau Kudnar, Varun Narayan Mishra, Devendra Bisen, Vasudev Salunke, Ravindra Bhagat) -- 5. Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as response to Climate Change in a semiarid region of Karnataka, India (Sanjay Kumar, Krishna Kumar S, S. A. Ahmed, Jyothika Karkala) -- 6. AI-based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, India (Padala Raja Shekar, Aneesh Mathew) -- 7. Building Flood Resilience through Flood Risk Assessment with Optical and Microwave Remote Sensing (Kumar Rajeev) -- 8. Satellite Image-Based Drought Monitoring, -Vision to Enhance Drought Resilience (S.L. Borana, S.K.Yadav) -- 9. The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practices, Challenges, and Opportunities (Atharva Awatade, Pratap Pawar, Lakshmi D) -- 10. Machine Learning for forest fire Risk and Resilience (Smita Varma, Soumendu Shekar Roy, Praveen Kumar Rai) -- 11. Advanced Application of Unmanned Aerial Vehicle (UAV) for Rapid Surveying and Mapping: A case study from Maharashtra, India (Nandakishore, Swati Sharma, Avaneesh Kumar) -- 12. Application of Digital Technologies & Remote Sensing In Precision Agriculture for Sustainable Crop Production (Mohammad Usama) -- 13. Advances in Soil Resource Management in Geoinformatics Domain: A Comprehensive Review (Ragini Kumari, B.K. Vimal, Praveen Kumar Rai, Sunita Paswan, Rahul Kumar Misra) -- 14. Smart Village Planning towards Sustainability using Geospatial techniques-A case study of Muzaffarnagar district, India (Gaurav Tripathi, Ritambhara Kumari Upadhyay, Chandra Shekhar Dwivedi, Achala Shakya) -- 15. A Review of Spatial Analysis Techniques Used for LULC Change Detection Over Delhi NCR in the Past Two Decades (Yashvita Tamrakar, Swati Sharma) -- 16. Assessment of Spatial and Temporal Changes in Strength of Vegetation using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI): A Case Study from Akola District, Central India (Abhijeet Ambadkar, Pranali Kathe, Chaitanya Pande, Pranaya Diwate) -- 17. Particle Pollution and Health - Risk and Resilience Evaluation (Ambrina Sardar Khan, Prateek Srivastava) -- 18. Resilience & Vulnerability: Concepts and Policy Contexts (Ambrina Sardar Khan, Prateek Srivastava).

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031525605

Additional Edition: Printed edition: ISBN 9783031525629

Additional Edition: Printed edition: ISBN 9783031525636

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: https://doi.org/10.1007/978-3-031-52561-2

UID:

Format: 1 online resource (347 pages)

Edition: First edition.

ISBN: 3-031-52561-2

Series Statement: Geotechnologies and the Environment Series ; Volume 26

Note: Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Insights into the Multifaceted Application of Technology to Empower Disaster Resilience: A Geospatial Perspective -- 1.1 Introduction -- 1.2 Emerging Trend of Disaster Risk Reduction and Resilience Building -- 1.3 Disaster Resilience: Role of Geospatial Technology -- 1.3.1 Allocation of Resources -- 1.3.2 Civilian Engagement and Crowd-Sourced Data -- 1.3.3 Risk Assessment, Vulnerability Analysis and Prediction Modeling -- 1.3.4 Post-disaster Recovery and Reconstruction -- 1.4 Limitations -- 1.4.1 Data Quality and Accuracy -- 1.4.2 Technological Accessibility -- 1.4.3 Capacity Building and Education -- 1.4.4 Privacy and Ethical Concerns -- 1.5 Future Scope -- 1.5.1 Enhanced Data Resolution and Accuracy -- 1.5.2 Integration with Emerging Technologies -- 1.5.3 Ethical and Inclusive Practices -- 1.5.4 Continuous Education and Capacity Building -- References -- Chapter 2: River Conservation and Water Resource Management -- 2.1 Introduction -- 2.2 Environmental Impacts -- 2.3 River Rejuvenation -- 2.4 Sustainable Development -- 2.5 Climate: Resilient Nation -- 2.6 Conclusion -- References -- Chapter 3: Morphometric Analysis for Prioritizing Sub-watersheds of the Chulband River Basin, India, Using Geospatial Techniques -- 3.1 Introduction -- 3.2 Study Area -- 3.3 Methods -- 3.4 Results and Discussion -- 3.4.1 Linear Parameters -- Stream Order (U) -- Stream Number (Nu) -- Stream Length (Lu) -- Bifurcation Ratio (Rb) -- Stream Length Ratio (Rl) -- Mean Bifurcation Ratio -- Stream Frequency (Fs) -- Mean Stream Length Ratio -- Drainage Density -- Drainage Texture -- Length of Overland Flow -- Rho Coefficient -- Drainage Intensity -- Infiltration Number -- Constant of Channel Maintenance -- 3.4.2 Areal/Shape Parameters -- Relief -- Relief Ratio -- Relative Relief -- Ruggedness Number. , 3.4.3 Relief Parameters -- Watershed Area -- Watershed Perimeter -- Circulatory Ratio -- Elongation Ratio (re) -- Form Factor -- Lemniscate Ratio -- Shape Index -- Compactness Coefficient -- Morphometric Sub-watershed Prioritization and Ranking -- Conclusions -- References -- Chapter 4: A GIS Based Study of the Effects of Groundwater, Soil Quality and Rainfall on Agriculture in Bagh River Basin, India -- 4.1 Introduction -- 4.2 Study Area -- 4.3 Data Used and Methodology -- 4.3.1 Ground Water Quality -- 4.3.2 Groundwater Sampling and Physico-chemical Analysis -- 4.3.3 Descriptive Statistics Analysis -- 4.3.4 Mann-Kendall Test (Non-parametric Test) -- 4.3.5 Spearman's Rank Correlation Coefficient -- 4.3.6 Inverse Distance Weighing -- 4.3.7 Soil Health -- 4.4 Results and Discussion -- 4.4.1 Ground Water Qualities -- Groundwater Effects on Agriculture -- Groundwater Quality Index -- 4.4.2 Soil Health -- Agricultural Productivity and Intensity -- Land Capability -- Soil Fertility -- Reasons for Low Fertility Index BRB -- Soil Quality Effect on Agriculture -- 4.5 Rainfall Effects on Agriculture -- 4.6 Agricultural Model -- 4.6.1 Integrated Farming System Model -- 4.7 Conclusion -- References -- Chapter 5: Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as Response to Climate Change in a Semiarid Region of Karnataka, India -- 5.1 Introduction -- 5.2 Study Area and Dataset -- 5.3 Methodology -- 5.4 ITA -- 5.5 MK -- 5.6 SS Estimator -- 5.7 Result -- 5.8 Pre-monsoon -- 5.9 Southwest Monsoon -- 5.10 Northeast Monsoon -- 5.11 Annual -- 5.12 Discussion and Conclusion -- References -- Chapter 6: AI-Based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, India -- 6.1 Introduction -- 6.2 Study area -- 6.3 Material and Methods -- 6.3.1 Data -- 6.3.2 AI Models -- 6.3.3 Performance Evaluation of the Model. , 6.4 Results and Discussions -- 6.4.1 ANN Model -- 6.4.2 KNN Model -- 6.4.3 RF Model -- 6.4.4 Comparison of Three AI Models -- 6.5 Conclusions -- References -- Chapter 7: Building Flood Resilience Through Flood Risk Assessment with Optical and Microwave Remote Sensing -- 7.1 Introduction -- 7.1.1 Conceptual Framework of Flood Risk -- 7.1.2 Prioritization Order of Influencing Factors -- 7.1.3 Flood: Indian Perspective -- Role of Indian Space Research Organization -- 7.1.4 Flood Protection Measures -- 7.2 Methods of Flood Risk Assessment -- 7.2.1 Historical Methods Used for Flood Risk Assessment -- 7.2.2 Contemporary Methods to Flood Risk Assessment -- 7.3 Quantitative Models Used in Flood Risk Assessment Worldwide -- 7.4 Tool and Techniques -- 7.4.1 Type of Flood Hazards -- 7.4.2 Remote Sensing Techniques Used for Flash Flood -- 7.4.3 Use of UAV-LiDAR System -- 7.4.4 Use of SAR Data -- 7.4.5 Flood and Hydrologic Engineering -- 7.5 Conclusion -- References -- Chapter 8: Satellite Image-Based Drought Monitoring: Vision to Enhance Drought Resilience -- 8.1 Introduction -- 8.2 Study Area -- 8.2.1 Soil and Crops -- 8.2.2 Weather Conditions -- 8.3 Data Used and Methodology -- 8.3.1 Satellite Data -- 8.3.2 Processing and Analysis of MODIS Data -- 8.3.3 The Jodhpur District's Rainfall Pattern -- 8.3.4 Standardized Precipitation Index (SPI) -- 8.3.5 Normalized Difference Vegetation Index (NDVI) -- 8.3.6 Correlation of SPI and NDVI Using Regression Analysis -- 8.4 Results & -- Discussion -- 8.4.1 Drought Monitoring Through SPI -- 8.4.2 Variation in the NDVI with Time and Space -- 8.4.3 Assessment of Vegetation Pattern -- 8.4.4 Temporal Variation of NDVI and SPI -- 8.4.5 Correlation Analysis of Seasonal NDVI and SPI -- 8.5 Conclusions -- References. , Chapter 9: The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practices, Challenges, and Opportunities -- 9.1 Introduction -- 9.1.1 Case Studies on the Impact of Forest Fire in an Environment -- 9.1.2 Important Areas of Research Related to Forest or Wildfire as Follows -- 9.2 Rationale of the Study -- 9.3 Methods -- 9.3.1 Types of Forest Fire -- 9.3.2 Types of Fire Detection Techniques -- 9.3.3 Data Acquisition System -- 9.3.4 Prediction of Fire Risks Using Machine and Deep Learning Techniques -- 9.3.5 Time and Location Alarming System -- 9.4 Discussion -- 9.4.1 Case Studies -- 9.4.2 Challenges -- 9.4.3 Advantages -- 9.4.4 Opportunities -- 9.4.5 Best Practices -- 9.4.6 Limitations -- 9.5 Conclusion -- References -- Chapter 10: Machine Learning for Forest Fire Risk and Resilience -- 10.1 Introduction -- 10.2 Types of Forest Fires -- 10.3 Causes of Forest Fires -- 10.3.1 Natural Causes -- 10.3.2 Human Causes -- 10.4 Effects of Forest Fire -- 10.5 Forest Fires That Have Occurred in India -- 10.6 Global Forest Fires -- 10.7 Role of Machine Learning -- 10.7.1 Predictive Modelling -- 10.7.2 Image Recognition -- 10.7.3 Natural Language Processing -- 10.7.4 Remote Sensing -- 10.7.5 Decision Making -- 10.8 Challenges & -- Limitations of Machine Learning Use -- 10.9 Conclusion -- References -- Chapter 11: Advanced Application of Unmanned Aerial Vehicle (UAV) for Rapid Surveying and Mapping: A Case Study from Maharashtra, India -- 11.1 Introduction -- 11.2 Study Area -- 11.3 Material and Methods -- 11.3.1 Reconnaissance -- 11.3.2 GCP Establishment -- 11.3.3 Flight Planning and Image Acquisition -- 11.3.4 Image Processing -- 11.3.5 Image Orientation -- 11.3.6 Dense Point Cloud Generation -- 11.3.7 Digital Elevation Model -- 11.3.8 Orthophoto Generation -- 11.3.9 Map Preparation -- 11.4 Results and Discussion. , 11.4.1 Coordinates Collected -- 11.4.2 Survey Data -- 11.4.3 Camera Locations (Fig. 11.7) -- 11.4.4 Image Orientation -- 11.4.5 Digital Elevation Model -- 11.5 Conclusion -- 11.5.1 Role of Drones in Building a Climate-Resilient Nation -- References -- Chapter 12: Application of Digital Technologies & -- Remote Sensing in Precision Agriculture for Sustainable Crop Production -- 12.1 Introduction -- 12.2 Precision Agriculture & -- Its Goal -- 12.3 Review of Literature -- 12.4 Method Used in Precision Agriculture -- 12.5 Tools & -- Technologies Used in Experimental Set up in Precision Agriculture -- 12.6 Methodology -- 12.7 Benefits of Precision Agriculture -- 12.8 Economic Benefits & -- Environmental Impacts of Precision Agriculture -- 12.9 Result Analysis & -- Discussion -- 12.10 Conclusion -- References -- Websites -- Journal Articles -- Conference Paper -- Chapter 13: Advances in Soil Resource Management in Geoinformatics Domain: A Comprehensive Review -- 13.1 Introduction -- 13.2 Visual Interpretation of Satellite (VIS) Images -- 13.3 Several Indices Involved in Remote Sensing and GIS Techniques -- 13.4 Soil Analysis -- 13.5 Soil Organic Carbon and Non photosynthetic Vegetation -- 13.6 Iron Content (Fe) -- 13.7 Carbonates -- 13.8 Estimation of Moisture Stress in Soils -- 13.9 Water and Nutrient Stress -- 13.10 Soil Salinity Assessment -- 13.11 Soil Pollution and Remediation -- 13.12 Land Capability and Soil Site Suitability Analysis -- 13.13 Soil Health -- 13.14 Conclusions -- References -- Chapter 14: Smart Village Planning Towards Sustainability Using Geospatial Techniques - A Case Study of Muzaffarnagar District, India -- 14.1 Introduction -- 14.2 Study Area -- 14.3 Data Used and Methodology -- 14.4 Results and Discussion -- 14.5 Conclusion -- References. , Chapter 15: A Review of Spatial Analysis Techniques Used for LULC Change Detection Over Delhi NCR in the Past Two Decades.

Additional Edition: ISBN 3-031-52560-4

Language: English

UID:

Format: 1 online resource (347 pages)

Edition: First edition.

ISBN: 3-031-52561-2

Series Statement: Geotechnologies and the Environment Series ; Volume 26

Note: Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Insights into the Multifaceted Application of Technology to Empower Disaster Resilience: A Geospatial Perspective -- 1.1 Introduction -- 1.2 Emerging Trend of Disaster Risk Reduction and Resilience Building -- 1.3 Disaster Resilience: Role of Geospatial Technology -- 1.3.1 Allocation of Resources -- 1.3.2 Civilian Engagement and Crowd-Sourced Data -- 1.3.3 Risk Assessment, Vulnerability Analysis and Prediction Modeling -- 1.3.4 Post-disaster Recovery and Reconstruction -- 1.4 Limitations -- 1.4.1 Data Quality and Accuracy -- 1.4.2 Technological Accessibility -- 1.4.3 Capacity Building and Education -- 1.4.4 Privacy and Ethical Concerns -- 1.5 Future Scope -- 1.5.1 Enhanced Data Resolution and Accuracy -- 1.5.2 Integration with Emerging Technologies -- 1.5.3 Ethical and Inclusive Practices -- 1.5.4 Continuous Education and Capacity Building -- References -- Chapter 2: River Conservation and Water Resource Management -- 2.1 Introduction -- 2.2 Environmental Impacts -- 2.3 River Rejuvenation -- 2.4 Sustainable Development -- 2.5 Climate: Resilient Nation -- 2.6 Conclusion -- References -- Chapter 3: Morphometric Analysis for Prioritizing Sub-watersheds of the Chulband River Basin, India, Using Geospatial Techniques -- 3.1 Introduction -- 3.2 Study Area -- 3.3 Methods -- 3.4 Results and Discussion -- 3.4.1 Linear Parameters -- Stream Order (U) -- Stream Number (Nu) -- Stream Length (Lu) -- Bifurcation Ratio (Rb) -- Stream Length Ratio (Rl) -- Mean Bifurcation Ratio -- Stream Frequency (Fs) -- Mean Stream Length Ratio -- Drainage Density -- Drainage Texture -- Length of Overland Flow -- Rho Coefficient -- Drainage Intensity -- Infiltration Number -- Constant of Channel Maintenance -- 3.4.2 Areal/Shape Parameters -- Relief -- Relief Ratio -- Relative Relief -- Ruggedness Number. , 3.4.3 Relief Parameters -- Watershed Area -- Watershed Perimeter -- Circulatory Ratio -- Elongation Ratio (re) -- Form Factor -- Lemniscate Ratio -- Shape Index -- Compactness Coefficient -- Morphometric Sub-watershed Prioritization and Ranking -- Conclusions -- References -- Chapter 4: A GIS Based Study of the Effects of Groundwater, Soil Quality and Rainfall on Agriculture in Bagh River Basin, India -- 4.1 Introduction -- 4.2 Study Area -- 4.3 Data Used and Methodology -- 4.3.1 Ground Water Quality -- 4.3.2 Groundwater Sampling and Physico-chemical Analysis -- 4.3.3 Descriptive Statistics Analysis -- 4.3.4 Mann-Kendall Test (Non-parametric Test) -- 4.3.5 Spearman's Rank Correlation Coefficient -- 4.3.6 Inverse Distance Weighing -- 4.3.7 Soil Health -- 4.4 Results and Discussion -- 4.4.1 Ground Water Qualities -- Groundwater Effects on Agriculture -- Groundwater Quality Index -- 4.4.2 Soil Health -- Agricultural Productivity and Intensity -- Land Capability -- Soil Fertility -- Reasons for Low Fertility Index BRB -- Soil Quality Effect on Agriculture -- 4.5 Rainfall Effects on Agriculture -- 4.6 Agricultural Model -- 4.6.1 Integrated Farming System Model -- 4.7 Conclusion -- References -- Chapter 5: Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as Response to Climate Change in a Semiarid Region of Karnataka, India -- 5.1 Introduction -- 5.2 Study Area and Dataset -- 5.3 Methodology -- 5.4 ITA -- 5.5 MK -- 5.6 SS Estimator -- 5.7 Result -- 5.8 Pre-monsoon -- 5.9 Southwest Monsoon -- 5.10 Northeast Monsoon -- 5.11 Annual -- 5.12 Discussion and Conclusion -- References -- Chapter 6: AI-Based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, India -- 6.1 Introduction -- 6.2 Study area -- 6.3 Material and Methods -- 6.3.1 Data -- 6.3.2 AI Models -- 6.3.3 Performance Evaluation of the Model. , 6.4 Results and Discussions -- 6.4.1 ANN Model -- 6.4.2 KNN Model -- 6.4.3 RF Model -- 6.4.4 Comparison of Three AI Models -- 6.5 Conclusions -- References -- Chapter 7: Building Flood Resilience Through Flood Risk Assessment with Optical and Microwave Remote Sensing -- 7.1 Introduction -- 7.1.1 Conceptual Framework of Flood Risk -- 7.1.2 Prioritization Order of Influencing Factors -- 7.1.3 Flood: Indian Perspective -- Role of Indian Space Research Organization -- 7.1.4 Flood Protection Measures -- 7.2 Methods of Flood Risk Assessment -- 7.2.1 Historical Methods Used for Flood Risk Assessment -- 7.2.2 Contemporary Methods to Flood Risk Assessment -- 7.3 Quantitative Models Used in Flood Risk Assessment Worldwide -- 7.4 Tool and Techniques -- 7.4.1 Type of Flood Hazards -- 7.4.2 Remote Sensing Techniques Used for Flash Flood -- 7.4.3 Use of UAV-LiDAR System -- 7.4.4 Use of SAR Data -- 7.4.5 Flood and Hydrologic Engineering -- 7.5 Conclusion -- References -- Chapter 8: Satellite Image-Based Drought Monitoring: Vision to Enhance Drought Resilience -- 8.1 Introduction -- 8.2 Study Area -- 8.2.1 Soil and Crops -- 8.2.2 Weather Conditions -- 8.3 Data Used and Methodology -- 8.3.1 Satellite Data -- 8.3.2 Processing and Analysis of MODIS Data -- 8.3.3 The Jodhpur District's Rainfall Pattern -- 8.3.4 Standardized Precipitation Index (SPI) -- 8.3.5 Normalized Difference Vegetation Index (NDVI) -- 8.3.6 Correlation of SPI and NDVI Using Regression Analysis -- 8.4 Results & -- Discussion -- 8.4.1 Drought Monitoring Through SPI -- 8.4.2 Variation in the NDVI with Time and Space -- 8.4.3 Assessment of Vegetation Pattern -- 8.4.4 Temporal Variation of NDVI and SPI -- 8.4.5 Correlation Analysis of Seasonal NDVI and SPI -- 8.5 Conclusions -- References. , Chapter 9: The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practices, Challenges, and Opportunities -- 9.1 Introduction -- 9.1.1 Case Studies on the Impact of Forest Fire in an Environment -- 9.1.2 Important Areas of Research Related to Forest or Wildfire as Follows -- 9.2 Rationale of the Study -- 9.3 Methods -- 9.3.1 Types of Forest Fire -- 9.3.2 Types of Fire Detection Techniques -- 9.3.3 Data Acquisition System -- 9.3.4 Prediction of Fire Risks Using Machine and Deep Learning Techniques -- 9.3.5 Time and Location Alarming System -- 9.4 Discussion -- 9.4.1 Case Studies -- 9.4.2 Challenges -- 9.4.3 Advantages -- 9.4.4 Opportunities -- 9.4.5 Best Practices -- 9.4.6 Limitations -- 9.5 Conclusion -- References -- Chapter 10: Machine Learning for Forest Fire Risk and Resilience -- 10.1 Introduction -- 10.2 Types of Forest Fires -- 10.3 Causes of Forest Fires -- 10.3.1 Natural Causes -- 10.3.2 Human Causes -- 10.4 Effects of Forest Fire -- 10.5 Forest Fires That Have Occurred in India -- 10.6 Global Forest Fires -- 10.7 Role of Machine Learning -- 10.7.1 Predictive Modelling -- 10.7.2 Image Recognition -- 10.7.3 Natural Language Processing -- 10.7.4 Remote Sensing -- 10.7.5 Decision Making -- 10.8 Challenges & -- Limitations of Machine Learning Use -- 10.9 Conclusion -- References -- Chapter 11: Advanced Application of Unmanned Aerial Vehicle (UAV) for Rapid Surveying and Mapping: A Case Study from Maharashtra, India -- 11.1 Introduction -- 11.2 Study Area -- 11.3 Material and Methods -- 11.3.1 Reconnaissance -- 11.3.2 GCP Establishment -- 11.3.3 Flight Planning and Image Acquisition -- 11.3.4 Image Processing -- 11.3.5 Image Orientation -- 11.3.6 Dense Point Cloud Generation -- 11.3.7 Digital Elevation Model -- 11.3.8 Orthophoto Generation -- 11.3.9 Map Preparation -- 11.4 Results and Discussion. , 11.4.1 Coordinates Collected -- 11.4.2 Survey Data -- 11.4.3 Camera Locations (Fig. 11.7) -- 11.4.4 Image Orientation -- 11.4.5 Digital Elevation Model -- 11.5 Conclusion -- 11.5.1 Role of Drones in Building a Climate-Resilient Nation -- References -- Chapter 12: Application of Digital Technologies & -- Remote Sensing in Precision Agriculture for Sustainable Crop Production -- 12.1 Introduction -- 12.2 Precision Agriculture & -- Its Goal -- 12.3 Review of Literature -- 12.4 Method Used in Precision Agriculture -- 12.5 Tools & -- Technologies Used in Experimental Set up in Precision Agriculture -- 12.6 Methodology -- 12.7 Benefits of Precision Agriculture -- 12.8 Economic Benefits & -- Environmental Impacts of Precision Agriculture -- 12.9 Result Analysis & -- Discussion -- 12.10 Conclusion -- References -- Websites -- Journal Articles -- Conference Paper -- Chapter 13: Advances in Soil Resource Management in Geoinformatics Domain: A Comprehensive Review -- 13.1 Introduction -- 13.2 Visual Interpretation of Satellite (VIS) Images -- 13.3 Several Indices Involved in Remote Sensing and GIS Techniques -- 13.4 Soil Analysis -- 13.5 Soil Organic Carbon and Non photosynthetic Vegetation -- 13.6 Iron Content (Fe) -- 13.7 Carbonates -- 13.8 Estimation of Moisture Stress in Soils -- 13.9 Water and Nutrient Stress -- 13.10 Soil Salinity Assessment -- 13.11 Soil Pollution and Remediation -- 13.12 Land Capability and Soil Site Suitability Analysis -- 13.13 Soil Health -- 13.14 Conclusions -- References -- Chapter 14: Smart Village Planning Towards Sustainability Using Geospatial Techniques - A Case Study of Muzaffarnagar District, India -- 14.1 Introduction -- 14.2 Study Area -- 14.3 Data Used and Methodology -- 14.4 Results and Discussion -- 14.5 Conclusion -- References. , Chapter 15: A Review of Spatial Analysis Techniques Used for LULC Change Detection Over Delhi NCR in the Past Two Decades.

Additional Edition: ISBN 3-031-52560-4

Language: English

UID:

Format: 1 Online-Ressource (XIV, 341 p. 102 illus., 100 illus. in color)

Edition: 1st ed. 2024

ISBN: 9783031525612

Series Statement: Geotechnologies and the Environment 26

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52560-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52562-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-52563-6

Language: English

DOI: 10.1007/978-3-031-52561-2

URL: Volltext  (URL des Erstveröffentlichers)