| dc.contributor.author | Maswanganye, Sagwati Eugene | |
| dc.contributor.author | Dube, Timothy | |
| dc.contributor.author | Jovanovic, Nebo | |
| dc.date.accessioned | 2023-06-15T12:11:26Z | |
| dc.date.available | 2023-06-15T12:11:26Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Maswanganye, 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/10.1080/10106049.2022.2043453 | en_US |
| dc.identifier.issn | 1752-0762 | |
| dc.identifier.uri | https://doi.org/10.1080/10106049.2022.2043453 | |
| dc.identifier.uri | http://hdl.handle.net/10566/9099 | |
| dc.description.abstract | This 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.language.iso | en | en_US |
| dc.publisher | Taylor and Francis Group | en_US |
| dc.subject | Remote sensing | en_US |
| dc.subject | Technology | en_US |
| dc.subject | Water resource management | en_US |
| dc.subject | South Africa | en_US |
| dc.subject | Climate change | en_US |
| dc.title | 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 | en_US |
| dc.type | Article | en_US |
