Determining optimal SAR parameters for quantifying above-ground grass carbon stock in savannah ecosystems using a tree-based algorithm

Thumbnail Image

Files

Maake_Determining_2024.pdf (6.7 MB)
Maake_Determining_2025.pdf (6.68 MB)

Date

2025-03

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

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.

URI

http://hdl.handle.net/2263/100582

Collections

Research Articles (Geography, Geoinformatics and Meteorology)
Research Articles (University of Pretoria)
Full item page