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ESTIMATION OF BIOMASS USING GEDI LIDAR DATA, HARMONIZED LANDSAT SENTINEL-2 (HLS) IMAGERY, AND GRADIENT BOOSTING MACHINE LEARNING
(STEF92 Technology, 2026, Zhiyong Hu)
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Accurate estimation of vegetation biomass, particularly aboveground biomass (AGB), is critical for understanding carbon cycling, climate change mitigation, and ecosystem dynamics. Forests alone store a large proportion of terrestrial carbon, making biomass estimation central to initiatives such as REDD+ and global carbon accounting. Traditional field-based (destructive) methods, while accurate, are labor-intensive, costly, and impractical at large spatial scales. Remote sensing technologies have emerged as essenti...
Photogrammetry and Remote Sensing2026