Breytenbach, AndreEloff, CPretorius, E2013-09-302013-09-302013-08Breytenbach, A, Eloff, C and Pretorius, E. 2013. Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products. South African Journal of Geomatics, vol. 2(4), pp 309-3242225-8531http://www.sajg.org.za/index.php/sajg/article/view/110/73http://hdl.handle.net/10204/6969Copyright: 2013 South African Journal of Geomatics. This is an Open Access journal. This journal authorizes the publication of the information herewith contained. Published vol. 2(4), pp 309-324Accessibility to higher resolution earth observation satellites suggests an improvement in the potential for fine scale image classification. In this comparative study, imagery from three optical satellites (WorldView-2, Pléiades and RapidEye) were used to extract primary land cover classes from a pixel-based classification principle in a suburban area. Following a systematic working procedure, manual segmentation and vegetation indices were applied to generate smaller subsets to in turn develop sets of ISODATA unsupervised classification maps. With the focus on the land cover classification differences detected between the sensors at spectral level, the validation of accuracies and their relevance for fine scale classification in the built-up environment domain were examined. If an overview of an urban area is required, RapidEye will provide an above average (0.69) result with the built-up class sufficiently extracted. The higher resolution sensors such as WorldView-2 and Pléiades in comparison delivered finer scale accuracy at pixel and parcel level with high correlation and accuracy levels (0.65-0.71) achieved from these two independent classifications.enRemote sensingEarth observation satellitesImage classificationLand coverChange detectionClassification mapsSpaceborne optical sensorsArticleBreytenbach, A., Eloff, C., & Pretorius, E. (2013). Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products. http://hdl.handle.net/10204/6969Breytenbach, Andre, C Eloff, and E Pretorius "Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products." (2013) http://hdl.handle.net/10204/6969Breytenbach A, Eloff C, Pretorius E. Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products. 2013; http://hdl.handle.net/10204/6969.TY - Article AU - Breytenbach, Andre AU - Eloff, C AU - Pretorius, E AB - Accessibility to higher resolution earth observation satellites suggests an improvement in the potential for fine scale image classification. In this comparative study, imagery from three optical satellites (WorldView-2, Pléiades and RapidEye) were used to extract primary land cover classes from a pixel-based classification principle in a suburban area. Following a systematic working procedure, manual segmentation and vegetation indices were applied to generate smaller subsets to in turn develop sets of ISODATA unsupervised classification maps. With the focus on the land cover classification differences detected between the sensors at spectral level, the validation of accuracies and their relevance for fine scale classification in the built-up environment domain were examined. If an overview of an urban area is required, RapidEye will provide an above average (0.69) result with the built-up class sufficiently extracted. The higher resolution sensors such as WorldView-2 and Pléiades in comparison delivered finer scale accuracy at pixel and parcel level with high correlation and accuracy levels (0.65-0.71) achieved from these two independent classifications. DA - 2013-08 DB - ResearchSpace DP - CSIR KW - Remote sensing KW - Earth observation satellites KW - Image classification KW - Land cover KW - Change detection KW - Classification maps KW - Spaceborne optical sensors LK - https://researchspace.csir.co.za PY - 2013 SM - 2225-8531 T1 - Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products TI - Comparing three spaceborne optical sensors via fine scale pixel-based urban land cover classification products UR - http://hdl.handle.net/10204/6969 ER -