Use of multi-source remotely sensed data in monitoring the spatial distribution of pools and pool dynamics along non-perennial rivers in semi-arid environments, South Africa

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dc.contributor.authorMaswanganye, Sagwati Eugene
dc.contributor.authorDube, Timothy
dc.contributor.authorJovanovic, Nebo
dc.date.accessioned2023-06-15T12:11:26Z
dc.date.available2023-06-15T12:11:26Z
dc.date.issued2022
dc.description.abstractThis study explored the use of multi-source remotely sensed data in monitoring the spatial distribution of pools and pool dynamics in two distinct semi-arid sites in South Africa. The factors that control the pool dynamics were also examined. Three water extraction indices were used, these included Normalised Difference Water Index (NDWI), Modified NDWI and Normalised Difference Vegetation Index. In addition, random forest classifier and Sentinel-1 SAR data were used in mapping pools and pools dynamics for both sites.en_US
dc.identifier.citationMaswanganye, S. E. et al. (2022). Use of multi-source remotely sensed data in monitoring the spatial distribution of pools and pool dynamics along non-perennial rivers in semi-arid environments, South Africa. Geocarto International, 37(25), 10970–10989. https://doi.org/10.1080/10106049.2022.2043453en_US
dc.identifier.issn1752-0762
dc.identifier.urihttps://doi.org/10.1080/10106049.2022.2043453
dc.identifier.urihttp://hdl.handle.net/10566/9099
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.subjectRemote sensingen_US
dc.subjectTechnologyen_US
dc.subjectWater resource managementen_US
dc.subjectSouth Africaen_US
dc.subjectClimate changeen_US
dc.titleUse of multi-source remotely sensed data in monitoring the spatial distribution of pools and pool dynamics along non-perennial rivers in semi-arid environments, South Africaen_US
dc.typeArticleen_US

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