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Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I

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dc.contributor.author Breytenbach, Andre
dc.date.accessioned 2017-02-23T10:04:23Z
dc.date.available 2017-02-23T10:04:23Z
dc.date.issued 2016-10
dc.identifier.citation Breytenbach, A. 2016. Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-2/W1, 2016, 11th 3D Geoinfo Conference, 20–21 October 2016, Athens, Greece en_US
dc.identifier.uri http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W1/211/2016/
dc.identifier.uri http://hdl.handle.net/10204/8975
dc.description ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-2/W1, 2016, 11th 3D Geoinfo Conference, 20–21 October 2016, Athens, Greece en_US
dc.description.abstract Conducted in the City of Tshwane, South Africa, this study set about to test the accuracy of DSMs derived from different remotely sensed data locally. VHR digital mapping camera stereo-pairs, tri-stereo imagery collected by a Pléiades satellite and data detected from the Tandem-X InSAR satellite configuration were fundamental in the construction of seamless DSM products at different postings, namely 2 m, 4 m and 12 m. The three DSMs were sampled against independent control points originating from validated airborne LiDAR data. The reference surfaces were derived from the same dense point cloud at grid resolutions corresponding to those of the samples. The absolute and relative positional accuracies were computed using well-known DEM error metrics and accuracy statistics. Overall vertical accuracies were also assessed and compared across seven slope classes and nine primary land cover classes. Although all three DSMs displayed significantly more vertical errors where solid waterbodies, dense natural and/or alien woody vegetation and, in a lesser degree, urban residential areas with significant canopy cover were encountered, all three surpassed their expected positional accuracies overall. en_US
dc.language.iso en en_US
dc.publisher ISPRS en_US
dc.relation.ispartofseries Wokflow;17847
dc.subject Digital surface models en_US
dc.subject DSM en_US
dc.subject Remote sensing en_US
dc.subject Spatial information en_US
dc.title Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Breytenbach, A. (2016). Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I. ISPRS. http://hdl.handle.net/10204/8975 en_ZA
dc.identifier.chicagocitation Breytenbach, Andre. "Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I." (2016): http://hdl.handle.net/10204/8975 en_ZA
dc.identifier.vancouvercitation Breytenbach A, Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I; ISPRS; 2016. http://hdl.handle.net/10204/8975 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Breytenbach, Andre AB - Conducted in the City of Tshwane, South Africa, this study set about to test the accuracy of DSMs derived from different remotely sensed data locally. VHR digital mapping camera stereo-pairs, tri-stereo imagery collected by a Pléiades satellite and data detected from the Tandem-X InSAR satellite configuration were fundamental in the construction of seamless DSM products at different postings, namely 2 m, 4 m and 12 m. The three DSMs were sampled against independent control points originating from validated airborne LiDAR data. The reference surfaces were derived from the same dense point cloud at grid resolutions corresponding to those of the samples. The absolute and relative positional accuracies were computed using well-known DEM error metrics and accuracy statistics. Overall vertical accuracies were also assessed and compared across seven slope classes and nine primary land cover classes. Although all three DSMs displayed significantly more vertical errors where solid waterbodies, dense natural and/or alien woody vegetation and, in a lesser degree, urban residential areas with significant canopy cover were encountered, all three surpassed their expected positional accuracies overall. DA - 2016-10 DB - ResearchSpace DP - CSIR KW - Digital surface models KW - DSM KW - Remote sensing KW - Spatial information LK - https://researchspace.csir.co.za PY - 2016 T1 - Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I TI - Comparative accuracy evaluation of fine-scale global and local digital surface models: The Tshwane Case Study I UR - http://hdl.handle.net/10204/8975 ER - en_ZA


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