2026-10-15T15:28:42Z https://data.mendeley.com/oai

oai:data.mendeley.com/rjphh3yxs4.1 2025-05-22T07:19:37Z

H, Lyna Aboveground Biomass in Tajikistan Mendeley Data We develop a dynamic sampling scale-up method for AGB estimation by integrating multi-source data from Sentinel-2 MSI, 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. Remote Sensing Biomass He, Shuang Ye, Huping Liao, Xiaohan Dalai Bayin, Dalai Okhonniyozov, Mekhrovar Safarov, Mustafo Dataset doi:10.17632/rjphh3yxs4.1 oai:data.mendeley.com/rjphh3yxs4.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/rjphh3yxs4 2025-05-22T07:19:37Z