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This 2-volume set on Remote Sensing of Land Cover and Land Use Changes in South and Southeast Asia provides an interdisciplinary perspective. Volume 1 explores the drivers of LCLUC and the application in mapping and monitoring LCLUC hotspots. Volume 2 explores the impacts of LCLUC in the environment incorporating ML and DL.
Inhaltsverzeichnis
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 B¿c 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 ¿¿ng 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.
Über den Autor / die Autorin
Dr. Krishna Prasad Vadrevu is a remote sensing scientist at NASA's Marshall Space Flight Center in Huntsville, Alabama, USA. His research focuses on land cover and land use change (LCLUC), fire dynamics, and biomass burning emissions. With 25 years of experience in satellite remote sensing, he has an extensive publication record. He is the Deputy Program Manager for NASA's LCLUC Program and leads the South/Southeast Asia Research Initiative.
Dr. Christopher Justice is a Distinguished University Professor in the Department of Geographical Sciences at the University of Maryland, College Park, USA, with 45 years of experience in remote sensing research. He is a Project Scientist for the NASA LCLUC Program, the Land Discipline Lead for NASA MODIS, and a Suomi-NPP VIIRS Science Team member. Additionally, he is the Co-Chair of the GEO Global Agricultural Monitoring Initiative (GEOGLAM), Chief Scientist for NASA HARVEST, and Chair of the international Global Observations of Forest and Land Use Dynamics (GOFC-GOLD) program.
Dr. Garik Gutman is Program Manager for the NASA Land-Cover/Land-Use Change (LCLUC) Program. After 14 years of research on deriving land surface variables from satellite data at the National Oceanic and Atmospheric Administration (NOAA), he joined NASA Headquarters in 1999 and has been leading the LCLUC program, as well as Landsat-related activities, at NASA for over 25 years. He is the author of over 90 publications in peer-reviewed scientific journals and of several chapters in various climate- and land-cover related scientific volumes.
