2026-10-15T03:35:06Z https://www.scidb.cn/oai

10.57760/sciencedb.27455 2025-07-04T11:38:41Z

2025-07-04 Grassland Aboveground Biomass in Tajikistan doi:10.57760/sciencedb.27455 en We develop a dynamic sampling scale-up method for AGB estimation by integrating multi-source data from Sentinel2 Msl, Unmanned Aerial Vehicle (UAV), and ground observations. Initially, UAV and Sentinel-2 multispectral images are separately combined with ground-measured data for feature interaction analysis and factors selection. Subsequently, eight machine-learning models are constructed and optimized for AGB estimation at different scales, The dynamic sampling scale-up algorithm based on UAV and ground data enhances AGB estimation accuracy based on the optimal models grassland aboveground biomass (AGB); multi-source data synergy; unmanned aerial vehicle (UAV); AGB upscaling Lina Hao Huping Ye Shuang He Xinyu Zhang Dalai Bayin Mustafo Safarov Mekhrovar Okhonniyozov Xiaohan Liao RESTRICTED dataset http://www.doi.org/10.1016/j.srs.2025.100259 Science Data Bank