Determining optimal SAR parameters for quantifying above-ground grass carbon stock in savannah ecosystems using a tree-based algorithm
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Date
Authors
Maake, Reneilwe
Mutanga, Onisimo
Chirima, Johannes George
Kganyago, Mahlatse
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature
Abstract
Please read abstract in the artice.
Description
DATA 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.
Keywords
Above-ground grass carbon stock (AGGCS), Climate change, Synthetic aperture radar (SAR), Savannah ecosystems, Kruger National Park (KNP), Kruger National Park (South Africa), SDG-13: Climate action, SDG-15: Life on land, Sentinel-1, XGBoost
Sustainable Development Goals
SDG-13:Climate action
SDG-15:Life on land
SDG-15:Life on land
Citation
Maake, 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.