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Now showing items 1-4 of 4
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Assessment of accuracy : systematic reduction of training points for maximum likelihood classification and mixture discriminant analysis (Gaussian and t-distribution)
(CONSAS Conference, 2018-09)Remote sensing provides a valuable tool for monitoring land cover across large areas of land. A simple yet popular method for land cover classification is Maximum Likelihood Classification (MLC), which assumes a single ... -
A spectral unmixing method with ensemble estimation of endmembers : application to flood mapping in the Caprivi floodplain
(MDPI, 2017)The Caprivi basin in Namibia has been affected by severe flooding in recent years resulting in deaths, displacements and destruction of infrastructure. The negative consequences of these floods have emphasized the need for ... -
A synthesizing land-cover classification method based on Google Earth Engine : a case study in Nzhelele and Levhuvu catchments, South Africa
(Springer, 2020-07-07)This study designed an approach to derive land-cover in the South Africa with insufficient ground samples, and made a case demonstration in Nzhelele and Levhuvu catchments, South Africa. The method was developed based on ... -
Vegetation mapping in the St Lucia estuary using very high-resolution multispectral imagery and LiDAR
(Elsevier, 2016-05)This paper examines the value of very high-resolution multispectral satellite imagery and LiDAR-derived digital elevation information for classifying estuarine vegetation types. Satellite images used are fromtheWorldVie ...
