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Full Description
Despite the vast amount of research on Land Cover and Land Use Change (LCLUC) worldwide, data and insights from South and Southeast Asia remain limited. This comprehensive two-volume handbook bridges that gap by synthesizing groundbreaking research from NASA's LCLUC program-funded scientists in collaboration with leading regional scientists across South and Southeast Asia. Designed to serve researchers, professionals, and students in land use, environmental science, geography, and remote sensing, this 2-volume set provides an interdisciplinary perspective on the ecological, climatic, and environmental implications of LCLUC.
Volume 1 explores the drivers of LCLUC and the application of remote sensing and geospatial technologies in mapping and monitoring high-impact LCLUC hotspots.
Volume 2 delves into the impacts of LCLUC, incorporating the latest advancements in machine learning and deep learning from both mid-resolution and very high-resolution satellite data.
Key Features:
· Focuses on cutting-edge Remote Sensing & Geospatial Technologies. Harness the latest tools for mapping and monitoring land cover change.
· Introduces novel machine learning and deep learning algorithms a techniques for mapping and monitoring land cover change
· Presents scientific achievements of authors and researchers from various countries working in South and Southeast Asia.
· Includes real-world case studies on urbanization, deforestation, agriculture, etc., and connected geospatial phenomena.
· Interdisciplinary studies linking biophysical data with socioeconomic aspects for holistic understanding.
This handbook is an essential resource for remote sensing scientists, environmental researchers, geographers, ecologists, spatial statisticians, and anyone involved in mapping, monitoring, and managing land use and land cover change.
Contents
Volume 1: 1. Land Cover/Land Use Changes in South and Southeast Asia: An Overview. 2. Monitoring the Extent of Trees Outside of Forests in South Asia: Nature-based Solutions for Climate Change Mitigation. 3. Land Use and Land Cover Change (LULCC) Detection in Bangalore, India Using Multi-Temporal Synthetic Aperture Radar and Spatial Attention Enhanced Siamese Network. 4. Super-Resolution Enhancement of Landsat Satellite Data Using Generative Adversarial Networks (GANs) and U-Net Deep Learning Algorithms. 5. Agriculture Crop Monitoring for Yield Estimation with Zero Shot Fruit Detection: A Deep Learning Approach. 6. Mapping Forest Types in Myanmar Helps Set Conservation Priorities in a Key Indo-Burma Biodiversity Hotspot. 7. Vegetation Disturbance and Fragmentation in Uttarakhand, India: A Case Study Using MODIS and Very High-Resolution Satellite Datasets. 8. Machine Learning of NDVI Time Series Identifies Ghost Villages in Uttarakhand, India. 9. Evaluation of Deep Learning Algorithms for Mapping Burnt Areas in an Agricultural Landscape. 10. Deep Learning Models for Fire Prediction: A Comparative Study. 11. Land Cover Change in Cambodia, Laos, Myanmar, Thailand, And Vietnam and the Effects of Varied Spatial Scales and Land Cover Classes. 12. Characterizing Aquaculture-Associated Land Cover Land Use Changes in Central Thailand, 1990-2020. 13. Crop Type Mapping in Smallholder Agricultural Settings Using Sentinel-1 SAR Imagery and Deep Learning. 14. Land Use/Land Cover Changes in the Mekong Delta, Vietnam Using Landsat Remote Sensing Data. 15. Satellite Observations of Land Cover and Land Use in the Bạc Liêu Province, Vietnam. 16. Spatio-Temporal Pattern Mapping of Ganoderma Disease in Oil Palm Plantations with PALSAR-2 Time-Series. 17. Monitoring Urban Sprawl Using Synthetic Aperture Radar (SAR) Data: A Case Study of the Denpasar Greater Area, Bali, Indonesia.
Volume 2: 1. Factors Affecting Food Insecurity Across Under-Developed Regions of India, Contrasting Indicators of Household-Scale Socioeconomics and Land Cover Change. 2. Understanding Changes in Agricultural Land Use and Land Cover in the Breadbasket Area of the Ganges Basin 2000-2015: A Socioeconomic-ecological Analysis. 3. Spatiotemporal Distribution and Recent Trends in Crop Water Use Across India. 4. Forest Transitions in Dry Tropical Forests of Central India: Insights from Satellite Data and Socioeconomic Surveys. 5. Remote Measures and Remote Policies: A Critique of Remote Sensing in Indian Forests and Environmental Policy with Suggestions for Moving Forward. 6. Ecological Evaluation and Assessment of Spatial Variables Influencing the Urban Heat Island Effect in Bangalore, India. 7. Urbanization and Settlement Growth in Forested Areas of South and Southeast Asia - Analysis Using Nighttime Satellite Datasets. 8. Urbanization's effects on Heat Dynamics in Bangaluru City using UTCI and LCZ Classification. 9. Assessment of Indian Flying Fox (Pteropus medius) Roosting Sites in Northern Kerala using Landsat-derived NDVI. 10. Analysis of the Relationship Between Cloud Fraction (CF) and Aerosol Optical Depth (AOD) for Heterogeneous Rainfall Regimes Over Peninsular India. 11. The Role of Land Cover/Land Use in Malaria Transmission in Myanmar. 12. Ongoing Issues in Land Cover and Land Use Change in Thailand and Priority Actions for Policy. 13. Understanding Observed Agricultural Landscape Change in Đồng Tháp Province, Vietnam: Local Perceptions and Drivers of Land Use and Land Cover Change around Tràm Chim National Park. 14. Enhancing Agricultural Forecasting: Remote Sensing and Climate Data Integration for Crop Yield Predictions in the Chi Basin, Thailand. 15. Biomass Burning Emission Inventory and Modelling in the Northern part of the Association of Southeast Asian Nations (nASEAN). 16. Estimates of Emissions from Open Biomass Burning in South-Southeast Asia: Utilizing Fengyun-3D Fire Spot Monitoring Data.
