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Full Description
This book focusses on geospatial techniques, climate science, and predicting risk applications and challenges. It bridges the gap between the principles of geographic information science (GIS), remote sensing technology, global positioning system (GPS), and machine learning. It emphasizes the application and significance of remotely sensed data and GIS technologies in different aspects of climate science data. It considers the use of geospatial and AI in resource studies primarily focusing on water, air, soil, urban, climate and environmental aspects supported by case studies.
Features:
• Includes geographic technologies application with an emphasis on its modelling of climate change and meteorological elements.
• Merges geospatial technologies and AI methodologies.
• Provides canvas for social impact and community involvement in the application of geospatial technology across several industries.
• Examines heatwaves, clod waves, and dust storm models using satellite data and GIS.
• Deals with the case studies through highlighting the use and applicability of drones with geospatial technology.
This book is aimed at researchers and graduate students in geospatial sciences and environmental engineering.
Contents
1. Spatiotemporal Assessment of Urban Growth Dynamics in the hill city of Shimla, India, from 1991 to 2041 Using Machine Learning Algorithms. 2. Assessment of Land Use Land Cover Change of Vishakhapattanam using CA-ANN. 3. Urban Heat Island Phenomenon: Influences of Land Use/Land Cover Alterations. 4. Spatio-temporal Variation and Trend Analysis of Surface Temperatures over Chennai city in India: A Geospatial Approach. 5. Assessment of Optimal size of Urban Blue-Green Space Based on Cooling Effect as an Urban Heat Island Mitigation Strategy: A Critical Review. 6. Advanced Geospatial Techniques and Remote Sensing Methods for Evaluating Carbon Capture and Storage: An In-Depth Review. 7. Understanding Indoor Air Pollution and its Impact on Health Implications in Cold Regions of India: A Comprehensive Review. 8. Analysis and Prediction of PM2.5 Concentrations over Indian Megacities using Geospatial Techniques and Deep Learning Models. 9. Leveraging Machine Learning and Geospatial Data for Air Quality Modeling over Indian Region. 10. Investigation of Optical and Radiative Properties of Aerosol over Urban Cities of India. 11. Characteristics, Sources, and Regional Origins of Aerosols: A Comprehensive Analysis. 12. Hydrological Study of an Urban Region within the Indravati River Basin. 13. Advanced Geophysical Techniques for Seepage Detection in Dams: A Sustainability Approach. 14. Assessment of Geospatial and Multicriteria Decision Method to Evaluate Site Suitability for Rainwater Harvesting: A Case Study of Sri Sathya Sai District, Andhra Pradesh State, India. 15. Time Series Multispectral Satellite Data for Wheat Crop Mapping and Monitoring in Bathinda District, India. 16. Assessment of Phenological Dynamics in Tropical Deciduous Forests: A Case Study from Gir National Park, India. 17. Geospatial Approach on Landslide Hazards Zonation Mapping Using Analytic Hierarchy Process: A Study on Mandakini River Basin, Uttarakhand, India. 18. Towards an Adapted Spatial Fuzzy Logic-based Model using a Transdisciplinary Approach: Case Study of Natural Resource-Based Conflict Management. 19. Assessment of Impacts of Climate Change on Human Health: Trapping the Potential of Geoinformatics for Human Sustainability. 20. Geospatial Technologies for Climate Risk Assessment and Resilience in Hornbill Conservation. 21. Spatial Technologies in Action: Climate Change Mitigation and Environmental Applications. 22. Investigation of Climate Extremes in Jabalpur District of Madhya Pradesh: Trends and Future Implications
