Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
#1PRI RANKED
Most Cited Paper
in Forest ecology and management
18 Months Post-Publication
Class of 2026
“Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
aboveground biomass (AGB) · Landsat-9 · XGBoost · Support Vector Regression (SVR) · Random Forest · Multiple Linear Regression (MLR) · Vegetation indices · Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) · Landsat Operational Land Imager (OLI) · spectral band B4 · spectral band B5 · TNDVI · NDVI · RVI · GNDVI · Topographic Wetness Index (TWI) · temperate forests · Himalayan region · predictor-algorithm combinations · aboveground biomass (AGB)
Share
Cite this ranking
Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026. Accessed 2026-07-23. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459