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dc.contributor.author | Mogonong, Buster Percy![]() |
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dc.contributor.author | Twine, Wayne![]() |
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dc.contributor.author | Feig, Gregor Timothy![]() |
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dc.contributor.author | Van der Merwe, Helga![]() |
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dc.contributor.author | Fisher, J.T. (Jolene)![]() |
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dc.date.accessioned | 2025-04-29T12:37:31Z | |
dc.date.available | 2025-04-29T12:37:31Z | |
dc.date.issued | 2024-04 | |
dc.description | This article belongs to the Special Issue Remote Sensing for Land Change Science: Looking at Land Surface as a Coupled Human-Environment System. | en_US |
dc.description.abstract | Changes in land use and land cover over space and time are an indication of biophysical, socio-economic, and political dynamics. In rural communities, land-based livelihood strategies such as agriculture are crucial for sustaining livelihoods in terms of food provision and as a source of local employment and income. In recent years, African studies have documented an overall decline in the extent of small-scale crop farming, with many crop fields left abandoned. This study uses rural areas in three former apartheid homelands in South Africa as a case study to quantify patterns and trends in the overall land cover change and small-scale agricultural lands related to changes in climate over a 38-year period. Random forest classification was applied on the Landsat imagery to detect land use and land cover change, achieving an overall accuracy of above 80%. Rainfall and temperature anomalies, as well as the Standardized Precipitation Evapotranspiration Index (SPEI) were used as climate proxies to assess the influence of climate variability on crop farming, as the systems investigated rely completely on rainfall. Agricultural land declined from 107.5 km2 to 49.5 km2 in Umhlabuyalingana; 54 km2 to 1.6 km2 in Joe Morolong; and 254.6 km2 to 7.4 km2 in Mangaung between 1984 and 2022. Declines in cropland cover, precipitation, and the SPEI were highly correlated. We argue that climatic variability influences crop farming activities; however, this could be one factor in a suite of drivers that interact together to influence the cropping practices in rural areas. | en_US |
dc.description.department | Geography, Geoinformatics and Meteorology | en_US |
dc.description.sdg | SDG-02:Zero Hunger | en_US |
dc.description.uri | https://www.mdpi.com/journal/remotesensing | en_US |
dc.identifier.citation | Mogonong, B.P., Twine, W., Feig, G.T., et al. 2024, 'Influences of climate variability on land use and land cover change in rural South Africa', Remote Sensing, vol. 16, no. 7, art. 1200, doi : 10.3390/rs16071200. | en_US |
dc.identifier.issn | 2072-4292 (online) | |
dc.identifier.other | 10.3390/rs16071200 | |
dc.identifier.uri | http://hdl.handle.net/2263/102251 | |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.subject | Agricultural land | en_US |
dc.subject | Former homelands | en_US |
dc.subject | Intensity analysis | en_US |
dc.subject | Rainfall anomaly | en_US |
dc.subject | Random forest classification | en_US |
dc.subject | SDG-02: Zero hunger | en_US |
dc.subject | Standardized Precipitation Evapotranspiration Index (SPEI) | en_US |
dc.title | Influences of climate variability on land use and land cover change in rural South Africa | en_US |
dc.type | Article | en_US |