Browsing Faculty of Natural Sciences by Subject "Machine learning algorithm"
Now showing items 1-3 of 3
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Leveraging Google Earth Engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa
(Elsevier, 2021-07)Although significant scientific research strides have been made in mapping the spatial extents and ecohydrological dynamics of wetlands in semi-arid environments, the focus on small wetlands remains a challenge. This is ... -
Leveraging Google Earth engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa
(Elsevier, 2022)Although significant scientific research strides have been made in mapping the spatial extents and ecohydrological dynamics of wetlands in semi-arid environments, the focus on small wetlands remains a challenge. This is ... -
Using cloud computing techniques to monitor long-term variations in ecohydrological dynamics of small seasonally-flooded wetlands in semi-arid South Africa.
(Journal of Hydrology, 2022)Wetlands in drylands have high inter- and intra-annual ecohydrological variations that are driven to a great extent by climate variability and anthropogenic influences. The Ramsar Convention on Wetlands encourages the ...