Maake, ReneilweMutanga, OnisimoChirima, Johannes GeorgeKganyago, Mahlatse2025-02-062025-02-062025-03Maake, R., Mutanga, O., Chirima, J.G. et al. Determining Optimal SAR Parameters for Quantifying Above-Ground Grass Carbon Stock in Savannah Ecosystems Using a Tree-Based Algorithm. Remote Sensing in Earth Systems Sciences 8, 251–263 (2025). https://doi.org/10.1007/s41976-024-00170-8.2520-8195 (print)2520-8209 (online)10.1007/s41976-024-00170-8http://hdl.handle.net/2263/100582DATA AVAILABILITY : The remote sensing data supporting the results reported in our paper can be accessed at https://scihub.copernicus.eu/dhus/. The original data generated in our research is available upon reasonable request.Please read abstract in the artice.en© The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.Above-ground grass carbon stock (AGGCS)Climate changeSynthetic aperture radar (SAR)Savannah ecosystemsKruger National Park (KNP)Kruger National Park (South Africa)SDG-13: Climate actionSDG-15: Life on landSentinel-1XGBoostDetermining optimal SAR parameters for quantifying above-ground grass carbon stock in savannah ecosystems using a tree-based algorithmArticle