Water Resource Management in Climate Change Scenario Innovations in Geospatial Techniques and Models
This book seeks to showcase the ongoing challenges of water resource and its management through innovative and cutting-edge approaches (flooding and droughts and their respective impacts; spatial and urban planning; early warning systems; estimation of losses; water resource in the age of global cli...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer Nature Switzerland
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | GIScience and Geo-environmental Modelling
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Monitoring Glacier Changes in the south-western Himalayas using Geospatial and Geostatistical Approach
- Integration of Optical and Microwave Remote Sensing Datasets for Surface Water Mapping
- Prediction of Nitrate Contamination in Lake Water at Pixel-Scale using Deep Learning Models
- Monitoring River Water Quality and Proposing Management Strategies by Integrating Geospatial Techniques and Machine Learning
- Comparison of Performance of Machine Learning Techniques in Prediction of Groundwater Quality
- Lake Water Eutrophication Monitoring and Proposing Management Strategies for Water Quality Treatment
- Analyzing Sources of Heavy Metal Pollution in Drinking Water and Identifying Water Treatment Plans using Geospatial Techniques and AI
- Integration of Machine Learning Models with Game Theory for Understanding Water Induced Soil Erosion in Guwahati Urban Watershed
- Proposing a New Framework for Urban Blue Space Mapping by Coupling Image Fusion Techniques and AI
- Recent Trends in Application of Geospatial Technology and AI for Water Resource Monitoring and Management
- Recent Trends in Water Quality Monitoring: Co-dispersions, Sources, and Probabilistic Health Risk Assessment
- Monitoring Spatial Pattern of Floods for Developing Flood Management Strategies and Better Community Resilience
- Monitoring Flood Plain Wetland Degradation for Restoration and Conservation
- Spatial Dynamics of the Urban Wetlands and its Influence on Urban Environment and Ecosystem Services
- Monitoring Wetland Degradation by Integrating Machine Learning and Remote Sensing Techniques
- Changing Pattern of River Flooding Under Climate Change Scenario: A Geospatial Analysis of Rainfall-discharge Trends and Controlling factors
- Groundwater Potential Mapping Using Remote Sensing Techniques Coupled with Deep Learning and Stacking Framework
- Application of Deep Learning Algorithms for Flood Susceptibility Mapping in Data-scarce Region
- Quantification of Surface Water Contamination by Integrating Geospatial and Geostatistical Approach
- Application of AI and Big Data for the Prediction of Glacier Melting