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ICESat GLAS data for urban environment monitoring / P. Gong in IEEE Transactions on geoscience and remote sensing, vol 49 n° 3 (March 2011)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 49 n° 3 (March 2011) . - pp 1158 - 1172 Titre : ICESat GLAS data for urban environment monitoring Type de document : Article/Communication Auteurs : P. Gong, Auteur ; Z. Li, Auteur ; H. Huang, Auteur ; G. Sun, Auteur ; L. Wang, Auteur Année de publication : 2011 Article en page(s) : pp 1158 - 1172 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] altimètre laser [Termes IGN] Chine [Termes IGN] Geoscience Laser Altimeter System [Termes IGN] hauteur du bâti [Termes IGN] Pékin (Chine) [Termes IGN] surveillance [Termes IGN] traitement de données [Termes IGN] urbanisation Résumé : (Auteur) Although the Geoscience Laser Altimeter System (GLAS) onboard the NASA Ice, Cloud and Land Elevation Satellite was not designed for urban applications, its 3-D measurement capability over the globe makes it a nice feature for consideration in monitoring urban heights. However, this has not been previously done. In this paper, we report some preliminary assessment of the GLAS data for building height and density estimation in a suburb of Beijing, China. Building heights can be directly calculated from a GLAS data product (GLA14). Because GLA14 limits height levels to six in each ground footprint, we developed a new method to remove this restriction by processing the raw GLAS data. The maximum heights measured in the field at selected GLAS footprints were used to validate the GLAS measurement results. By assuming a constant incident energy and surface reflectance within a GLAS footprint, the building density can be estimated from GLA14 or from our newly processed GLAS data. The building density determined from high-resolution images in Google Earth was used to validate the GLAS estimation results. The results indicate that the newly developed method can produce more accurate building height estimation within each GLAS footprint (R2 = 0.937, rmse = 6.4 m, and n = 26) than the GLA14 data product (R2 = 0.808, rmse = 11.5 m, and n = 26). However, satisfactory estimation results on building density cannot be obtained from the GLAS data with the methods investigated in this paper. Forest cover could be a challenge to building height and density estimation from the GLAS data. It should be addressed in future research. Numéro de notice : A2011-069 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2070514 Date de publication en ligne : 11/10/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2070514 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30850 [article]

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