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

• Main Authors: Anees, Shoaib Ahmad, Mehmood, Kaleem, Khan, Waseem Razzaq, Sajjad, Muhammad, Alahmadi, Tahani Awad, Alharbi, Sulaiman Ali, Luo, Mi
• Format: Article
• Language: English
• Published: Elsevier B.V. 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/113630/1/113630.pdf; http://psasir.upm.edu.my/id/eprint/113630/; https://linkinghub.elsevier.com/retrieve/pii/S1574954124002747

Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient resource management, carbon accounting, and conservation efforts. This study examines the relationship between predictors from Landsat-9 remote sensing data and several topographical features. While Landsat-9...