Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel-1 and Sentinel-2 data

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dc.contributor.author Rapiya, Monde
dc.contributor.author Ramoelo, Abel
dc.contributor.author Truter, Wayne Frederick
dc.date.accessioned 2024-05-24T10:40:25Z
dc.date.available 2024-05-24T10:40:25Z
dc.date.issued 2023-12
dc.description DATA AVAILABILITY : All the Sentinel data are free of cost and are in the open domain, and field data port the published claims and fulfill with field requirements. en_US
dc.description.abstract Rangelands play a vital role in developing countries’ biodiversity conservation and economic growth, since most people depend on rangelands for their livelihood. Aboveground-biomass (AGB) is an ecological indicator of the health and productivity of rangeland and provides an estimate of the amount of carbon stored in the vegetation. Thus, monitoring seasonal AGB is important for understanding and managing rangelands’ status and resilience. This study assesses the impact of seasonal dynamics and fire on biophysical parameters using Sentinel-1 (S1) and Sentinel-2 (S2) image data in the mesic rangeland of Limpopo, South Africa. Six sites were selected (3/ area), with homogenous vegetation (10 plots/site of 30m2). The seasonal measurements of LAI and biomass were undertaken in the early summer (December 2020), winter (July–August 2021), and late summer (March 2022). Two regression approaches, random forest (RF) and stepwise multiple linear regression (SMLR), were used to estimate seasonal AGB. The results show a significant difference (p < 0.05) in AGB seasonal distribution and occurrence between the fire (ranging from 0.26 to 0.39 kg/m2) and non-fire areas (0.24–0.35 kg/m2). In addition, the seasonal predictive models derived from random forest regression (RF) are fit to predict disturbance and seasonal variations in mesic tropical rangelands. The S1 variables were excluded from all models due to high moisture content. Hence, this study analyzed the time series to evaluate the correlation between seasonal estimated and field AGB in mesic tropical rangelands. A significant correlation between backscattering, AGB and ecological parameters was observed. Therefore, using S1 and S2 data provides sufficient data to obtain the seasonal changes of biophysical parameters in mesic tropical rangelands after disturbance (fire) and enhanced assessments of critical phenology stages. en_US
dc.description.department Geography, Geoinformatics and Meteorology en_US
dc.description.department Plant Production and Soil Science en_US
dc.description.librarian am2024 en_US
dc.description.sdg SDG-15:Life on land en_US
dc.description.sponsorship Open access funding provided by University of Pretoria. en_US
dc.description.uri http://link.springer.com/journal/10661 en_US
dc.identifier.citation Rapiya, M., Ramoelo, A., Truter, W. 2023, 'Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel‑1 and Sentinel‑2 data', Environmental Monitoring and Assessment, vol. 195, no. 1544, pp. 1-22. https://DOI.org/10.1007/s10661-023-12133-5. en_US
dc.identifier.issn 0167-6369 (print)
dc.identifier.issn 1573-2959 (online)
dc.identifier.other 10.1007/s10661-023-12133-5
dc.identifier.uri http://hdl.handle.net/2263/96227
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License. en_US
dc.subject Rangeland en_US
dc.subject Leaf area index en_US
dc.subject Sentinel-1 en_US
dc.subject Sentinel-2 en_US
dc.subject Aboveground-biomass (AGB) en_US
dc.subject SDG-15: Life on land en_US
dc.title Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel-1 and Sentinel-2 data en_US
dc.type Article en_US


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