Determining optimal SAR parameters for quantifying above-ground grass carbon stock in savannah ecosystems using a tree-based algorithm
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| dc.contributor.author | Maake, Reneilwe
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| dc.contributor.author | Mutanga, Onisimo
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| dc.contributor.author | Chirima, Johannes George
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| dc.contributor.author | Kganyago, Mahlatse
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| dc.date.accessioned | 2025-02-06T11:19:06Z | |
| dc.date.available | 2025-02-06T11:19:06Z | |
| dc.date.issued | 2025 | |
| dc.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. | en_US |
| dc.description.abstract | Please read abstract in the artice. | en_US |
| dc.description.department | Geography, Geoinformatics and Meteorology | en_US |
| dc.description.librarian | hj2024 | en_US |
| dc.description.sdg | SDG-13:Climate action | en_US |
| dc.description.sdg | SDG-15:Life on land | en_US |
| dc.description.sponsorship | The Agricultural Research Council-Natural Resources and Engineering project: ISC012403000027 and the National Research Foundation (NRF) Research Chair in Land Use Planning and Management. Open access funding provided by Agricultural Research Council. | en_US |
| dc.description.uri | https://link.springer.com/journal/41976 | en_US |
| dc.identifier.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 (2024). https://doi.org/10.1007/s41976-024-00170-8. | en_US |
| dc.identifier.issn | 2520-8195 (print) | |
| dc.identifier.issn | 2520-8209 (online) | |
| dc.identifier.other | 10.1007/s41976-024-00170-8 | |
| dc.identifier.uri | http://hdl.handle.net/2263/100582 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.rights | © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License. | en_US |
| dc.subject | Above-ground grass carbon stock (AGGCS) | en_US |
| dc.subject | Climate change | en_US |
| dc.subject | Synthetic aperture radar (SAR) | en_US |
| dc.subject | Savannah ecosystems | en_US |
| dc.subject | Kruger National Park (KNP) | en_US |
| dc.subject | Kruger National Park (South Africa) | en_US |
| dc.subject | SDG-13: Climate action | en_US |
| dc.subject | SDG-15: Life on land | en_US |
| dc.subject | Sentinel-1 | en_US |
| dc.subject | XGBoost | en_US |
| dc.title | Determining optimal SAR parameters for quantifying above-ground grass carbon stock in savannah ecosystems using a tree-based algorithm | en_US |
| dc.type | Article | en_US |
