An assessment of pans as landscape features in the north west province using remote sensing techniques.

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dc.contributor.authorGreen, Jane Theaker
dc.date.accessioned2019-04-30T08:10:50Z
dc.date.available2019-04-30T08:10:50Z
dc.date.issued1995
dc.descriptionA Research Report Submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg. in partial fulfilment of the requirements for the Degree of Master of Science in Qualitative Conservation Biologyen_ZA
dc.description.abstractPans are unique as wetlands in that they are shallow endorheic basins whicn display marked fluctuations in water depth and duration. They are significant sites of local ecological diversity and particularly, an essential habitat for aquatic avifauna. In a review of pans as landscape features, pan morphology, initiation and propagation mechanisms and functioning as wetlands are discussed The first step in building an inventory and classification of wetlands is the location of sites. Satellite imagery is ideally suited to mapping broad level land cover and landuse. In this study Landsat TM data and image processing techniques are employed to locate pans of differing sizes, morphology and vegetation structure in a panfield,' in the North West province. With the Landsat TM data available for this study it was possible to determine the location and type, the surface extent of pans, whether or not they contained vegetation and to what extent across their surfaces, and whether they contained water. It was not possible with the vintage of Landsat™ data used to determine the plant communities associated with the pans from spectral signatures of the vegetation.en_ZA
dc.description.librarianAndrew Chakane 2019en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/26840
dc.language.isoenen_ZA
dc.subjectWetland ecology -- South Africa -- North West Province.en_ZA
dc.subjectRemote sensing -- South Africa -- North West Province.en_ZA
dc.subjectWetlands -- Remote sensing.en_ZA
dc.titleAn assessment of pans as landscape features in the north west province using remote sensing techniques.en_ZA
dc.typeThesisen_ZA
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