Volume 1 of Remote Sensing of LCLUC in South and Southeast Asia handbook showcases the practical utility of remote sensing data for effective LCLUC mapping and monitoring. It provides case studies on urban expansion, deforestation, and agricultural intensification and features contributions from NASA and regional experts.
Volume 1 of Remote Sensing of LCLUC in South and Southeast Asia handbook showcases the practical utility of remote sensing data for effective LCLUC mapping and monitoring. It provides case studies on urban expansion, deforestation, and agricultural intensification and features contributions from NASA and regional experts.
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.
Inhaltsangabe
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.
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.
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