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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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Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization / B. Koetz in Remote sensing of environment, vol 106 n° 4 (28/02/2007)  

Public [article]  inRemote sensing of environment > vol 106 n° 4 (28/02/2007) . - pp 449 - 459 Titre : Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization Type de document : Article/Communication Auteurs : B. Koetz, Auteur ; G. Sun, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 449 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] canopée [Termes IGN] données lidar [Termes IGN] estimation statistique [Termes IGN] forêt [Termes IGN] fusion de données [Termes IGN] hauteur des arbres [Termes IGN] lasergrammétrie [Termes IGN] Leaf Area Index [Termes IGN] méthode robuste [Termes IGN] modèle de transfert radiatif [Termes IGN] modèle numérique de surface [Termes IGN] spectrométrie Résumé : (Auteur) A comprehensive canopy characterization of forests is derived from the combined remote sensing signal of imaging spectrometry and large footprint LIDAR. The inversion of two linked physically based Radiative Transfer Models (RTM) provided the platform for synergistically exploiting the specific and independent information dimensions obtained by the two earth observation systems. Due to its measurement principle, LIght Detection And Ranging (LIDAR) is particularly suited to assess the horizontal and vertical canopy structure of forests, while the spectral measurements of imaging spectrometry are specifically rich on information for biophysical and -chemical canopy properties. In the presented approach, the specific information content inherent to the observations of the respective sensor was not only able to complement the canopy characterization, but also helped to solve the ill-posed problem of the RTM inversion. The theoretical feasibility of the proposed earth observation concept has been tested on a synthetic data set generated by a forest growth model for a wide range of forest stands. Robust estimates on forest canopy characteristics were achieved, ranging from maximal tree height, fractional cover (fcover), Leaf Area Index (LAI) to the foliage chlorophyll and water content. The introduction of prior information on the canopy structure derived from large footprint LIDAR observations significantly improved the retrieval performance relative to estimates based solely on spectral information. Copyright Elsevier Numéro de notice : A2007-069 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.013 En ligne : https://doi.org/10.1016/j.rse.2006.09.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28434 [article]

Requirement of ground tie points for InSAR DEM generation / G. Sun in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 1 (January 2000)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 66 n° 1 (January 2000) . - pp 81 - 90 Titre : Requirement of ground tie points for InSAR DEM generation Type de document : Article/Communication Auteurs : G. Sun, Auteur ; K.J. Ranson, Auteur ; J. Bufton, Auteur ; M. Roth, Auteur Année de publication : 2000 Article en page(s) : pp 81 - 90 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] image radar moirée [Termes IGN] image satellite [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] modèle numérique de surface [Termes IGN] points homologues Résumé : (Auteur) Ground tie points have been used to improve the accuracy of a DEM derived from Interferometric SAR (InSAR) data. The number of tie points required for ensuring certain accuracy of the InSAR-derived DEM was investigated in this study in two ways. One is the least-squares estimate of the corrections to a DEM using tie points, and the other is using an optimization procedure to estimate the uncertainties in estimations of InSAR parameters, mainly the baseline length, tilt angle, and reference phase using tie points, and resultant DEM error. It was found that, in terms of required tie points, both give comparable results. The latter method, though, can be applied in more realistic cases to design the tie point acquisition strategy for a mission. Numéro de notice : A2000-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/295637492_Requirement_of_ground_tie_poi [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21674 [article]