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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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis Group
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.
Description
Keywords
Remote sensing, Technology, Water resource management, South Africa, Climate change
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