Developing an integrated remotely sensed framework for the detection and monitoring of seasonally-flooded wetlands in semi-arid environments of southern Africa

dc.contributor.advisorDube, Timothy
dc.contributor.authorGxokwe, Siyamthanda
dc.date.accessioned2022-10-10T09:32:00Z
dc.date.accessioned2024-11-06T10:04:06Z
dc.date.available2022-10-10T09:32:00Z
dc.date.available2024-11-06T10:04:06Z
dc.date.issued2022
dc.descriptionPhilosophiae Doctor - PhDen_US
dc.description.abstractWetlands are among the most important ecosystems on earth; they cover approximately 4-6% of the earth’s surface and offer critical eco-hydrological services. However, these ecosystems are under threat from anthropogenic activities, droughts and climate variability, as well as from global environmental change. It is estimated that over 60% of the world’s wetlands have been lost due to climate change and variability, as well as other anthropogenic influences. There is, therefore, a need for their routine monitoring and assessment to ensure the sustainable use and management of these systems on a national, regional and local scale, and prevent their further degradation and loss. This study aimed at developing an integrated cloud-computing-based, remotely-sensed framework for the detection and monitoring of small and seasonally-flooded wetlands along the semi-arid Limpopo Transboundary River Basin of southern Africa, which was previously a challenging task when using the traditional assessment and monitoring methods.en_US
dc.identifier.urihttps://hdl.handle.net/10566/17691
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectWetlandsen_US
dc.subjectClimate changeen_US
dc.subjectEcosystemen_US
dc.subjectWater qualityen_US
dc.subjectSouth Africaen_US
dc.titleDeveloping an integrated remotely sensed framework for the detection and monitoring of seasonally-flooded wetlands in semi-arid environments of southern Africaen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
gxokwe_phd_nsc_2022.pdf
Size:
6.92 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: