Remote Sensing for Tropical Agriculture and Forests

Tropical regions host nearly half of the world’s remaining forests and supply a large share of global nutritional food and agricultural commodities. However, they are facing accelerating pressures from land-use expansion, climate variability, biodiversity loss, and socioeconomic change. Advances in satellite remote sensing, including higher spatial and temporal resolution imagery, cloud-computing platforms, machine-learning methods, and artificial intelligence, are opening new opportunities to monitor, map, and model tropical agricultural, forest ecosystems and socializing the pixles at scales ranging from individual farms and landscapes to entire biomes.This Research Topic invites original research, reviews, models, and methodological papers that apply remote sensing to tropical agriculture, agroecosystems, agroforestry, and forest landscapes. We welcome submissions that address, but are not limited to, the following themes:- Crop type mapping, acreage estimation, and yield prediction in tropical smallholder and plantation systems;- Tree-based agriculture, agroforestry, trees outside forests, tree cover, and tree species mapping, monitoring, and scaling;- Forest cover change detection, deforestation and degradation monitoring, and post-disturbance recovery tracking;- Above-ground biomass, below-ground biomass, carbon sequestration rates, and carbon stock estimation using optical, radar, or lidar data;- Integration of multi-source and multi-temporal remote sensing for land-use and land-cover classification, including quantification of inter- and intra-annual dynamics;- Cloud-computing, big-data approaches such as Google Earth Engine and Planetary Computer, and AI for large-area tropical land-use and land-cover monitoring;- Fusion of remote sensing with field surveys, socioeconomic data, and climate projections to support sustainable land management, food security, and decision support from farm, landscape, and village levels to global change dynamics.We aim to bring together researchers from remote sensing, agriculture, ecology, agroecology, green growth, and geography to advance understanding of tropical landscape dynamics and to bridge the gap between methodological innovation and practical applications in policy, conservation, and regenerative development. Topic editors: Bangqian Chen, Yuanwei QIN, Chandrashekhar M Biradar Source: https://www.frontiersin.org/research-topics/80499/remote-sensing-for-tropical-agriculture-and-forests