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Auteur S. Coveney |
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Land cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential / S. Coveney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
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Titre : Land cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential Type de document : Article/Communication Auteurs : S. Coveney, Auteur Année de publication : 2013 Article en page(s) : pp 277 - 286 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] bande X
[Termes IGN] données lidar
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du solRésumé : (Auteur) Elevation error in the Intermap X-band airborne Interferometric Synthetic Aperture Radar dtm data set is defined in a 260-hectare mixed land-cover area using external dual-frequency GPS and bare-earth lidar point-cloud validation data. Absolute elevation error is reported globally, and within land-cover classes characterized by distinctive vegetation canopy densities and depths that are considered to have the potential to affect X-band dtm elevation error in distinctive ways. Observed global and land-cover specific elevation errors are subsequently compared with an external study where land-cover dependent errors were quantified within four lidar data sets that overlapped the IFSAR DTM validation area. The results of these absolute and comparative results are subse-quently used to make recommendations regarding the poten-tial of Intermap bare-earth IFSAR DTM data in environmental modeling applications elsewhere, and the scope for using the data in conjunction with, and as an alternative to airborne lidar data is discussed. Numéro de notice : A2013-105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.277 En ligne : https://doi.org/10.14358/PERS.79.3.277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32243
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 277 - 286[article]Terrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)
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Titre : Terrestrial laser scan error in the presence of dense ground vegetation Type de document : Article/Communication Auteurs : S. Coveney, Auteur ; A. Stewart Fotheringham, Auteur Année de publication : 2011 Article en page(s) : pp 307 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection d'erreur
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur géométrique
[Termes IGN] flore locale
[Termes IGN] krigeage
[Termes IGN] marais salé
[Termes IGN] masque de végétation
[Termes IGN] semis de points
[Termes IGN] sol nu
[Termes IGN] source d'erreur
[Termes IGN] télémétrie laser terrestre
[Termes IGN] validation des donnéesRésumé : (Auteur) Terrestrial laser scanning (TLS) data-sets are seeing increasing use in geology, geomorphology, forestry and urban mapping. The ease of use, affordability and operational flexibility of TLS suggest that demand for it is likely to increase in large-scale mapping studies. However, its advantages may remain restricted to specific environments, because of difficulties in defining bare-ground level in the presence of ground-level vegetation. This paper seeks to clarify the component contributions to TLS elevation error deriving from vegetation occlusion, scan co-registration error, point cloud georeferencing error and target position definition in TLS point cloud data. A multi-scan single-returns TLS point cloud data-set of very high resolution (~250 points/m2) was acquired for an 11 hectare area of open, substantially flat and 100% vegetated coastal saltmarsh, providing data for the empirical quantification of TLS error. Errors deriving from the sources discussed are quantified, clarifying the potential proportional contribution of vegetation to other error sources. Initial data validation is applied to the TLS point cloud data after application of a local-lowest-point selection process, and repeat validation tests are applied to the resulting filtered point cloud after application of a kriging-based error adjustment and data fusion with GPS. The final results highlight the problem of representing bare ground effectively within TLS data captured in the presence of dense ground vegetation and clarify the component contributions of elevation error deriving from surveying and data processing. Numéro de notice : A2011-386 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00647.x Date de publication en ligne : 14/09/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00647.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31165
in Photogrammetric record > vol 26 n° 135 (September - November 2011) . - pp 307 - 324[article]Exemplaires(1)
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