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 Bc 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.