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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)
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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] spectrométrieRésumé : (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
in Remote sensing of environment > vol 106 n° 4 (28/02/2007) . - pp 449 - 459[article]Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height / W.S. Walker in Remote sensing of environment, vol 106 n° 4 (28/02/2007)
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Titre : Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height Type de document : Article/Communication Auteurs : W.S. Walker, Auteur ; J.M. Kellndorfer, Auteur ; L.E. Pierce, Auteur Année de publication : 2007 Article en page(s) : pp 428 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bande X
[Termes IGN] bruit (théorie du signal)
[Termes IGN] canopée
[Termes IGN] erreur de mesure
[Termes IGN] erreur relative
[Termes IGN] Etats-Unis
[Termes IGN] filtrage du bruit
[Termes IGN] hauteur des arbres
[Termes IGN] image SRTM
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] qualité des données
[Termes IGN] radargrammétrieRésumé : (Auteur) The Shuttle Radar Topography Mission distinguished itself as the first near-global spaceborne mission to demonstrate direct sensitivity to vertical vegetation structure. Whether this sensitivity is viewed as exploitable signal or unwanted bias, a great deal of interest exists in retrieving vegetation canopy height information from the SRTM data. This study presents a comprehensive application-specific assessment of SRTM data quality, focusing on the characterization and mitigation of two primary sources of relative vertical error: uncompensated Shuttle mast motion and random phase noise. The assessment spans four test sites located in the upper Midwestern United States and examines the dependence of data quality on both frequency, i.e., C-band vs. X-band, and the number of acquired datatakes. The results indicate that the quality of SRTM data may be higher than previously thought. Novel mitigation strategies include a knowledge-based approach to sample averaging, which has the potential to reduce phase noise error by 43 to 80%. The strategies presented here are being implemented as part of an ongoing effort to produce regional- to continental-scale estimates of vegetation canopy height within the conterminous U.S. Copyright Elsevier Numéro de notice : A2007-068 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.007 En ligne : https://doi.org/10.1016/j.rse.2006.09.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28433
in Remote sensing of environment > vol 106 n° 4 (28/02/2007) . - pp 428 - 448[article]Generation of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)
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Titre : Generation of geometrically and radiometrically terrain corrected SAR image products Type de document : Article/Communication Auteurs : A. Loew, Auteur ; W. Mauser, Auteur Année de publication : 2007 Article en page(s) : pp 337 - 349 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement
[Termes IGN] image E-SAR
[Termes IGN] luminance lumineuse
[Termes IGN] modèle numérique de surface
[Termes IGN] qualité des donnéesRésumé : (Auteur) Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated. Copyright Elsevier Numéro de notice : A2007-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.002 En ligne : https://doi.org/10.1016/j.rse.2006.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28432
in Remote sensing of environment > vol 106 n° 3 (15/02/2007) . - pp 337 - 349[article]An experiment using a circular neighborhood to calculate slope gradient from a DEM / X. Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 2 (February 2007)
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Titre : An experiment using a circular neighborhood to calculate slope gradient from a DEM Type de document : Article/Communication Auteurs : X. Shi, Auteur ; A - Xing Zhu, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 143 - 154 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données matricielles
[Termes IGN] gradient de pente
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] relation topologique
[Termes IGN] relief
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) The traditional 3 X 3 cell neighbourhood used in a focal operation on a raster layer has a square shape that results in a dimensional neighbourhood of which the orientation is eventually arbitrary to the physical features represented. This paper presents an experiment using a circular neighbourhood to calculate slope gradient. Comparisons of the results from a circular neighbourhood with the results from some traditional methods show that (a) for a smooth surface, the result from a circular neighbourhood is more accurate than that from a square neighbourhood, (b) a circular neighbourhood is generally more sensitive to noise in the input DEM than a square neighbourhood, and (c) in a validation using field measurements, the circular neighbourhood performs better than the square neighbourhood when the ratio of user-specified neighbourhood size to cell size is high. Copyright ASPRS Numéro de notice : A2007-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.2.143 En ligne : https://doi.org/10.14358/PERS.73.2.143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28425
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 2 (February 2007) . - pp 143 - 154[article]Geometric Correction and Digital Elevation Extraction Using Multiple MTI Datasets / J.A. Mercier in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 2 (February 2007)
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Titre : Geometric Correction and Digital Elevation Extraction Using Multiple MTI Datasets Type de document : Article/Communication Auteurs : J.A. Mercier, Auteur ; R.A. Schowengerdt, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 133 - 142 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction du sursol
[Termes IGN] image MTI
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle stéréoscopique
[Termes IGN] Multispectral thermal imager
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) Digital Elevation Models (DEMs) are traditionally acquired from a stereo pair of aerial photographs sequentially captured by an airborne metric camera. Standard DEM extraction techniques can be naturally extended to satellite imagery, but the particular characteristics of satellite imaging can cause difficulties. The spacecraft ephemeris with respect to the ground site during image collects is the most important factor in the elevation extraction process. When the angle of separation between the stereo images is small, the extraction process typically produces measurements with low accuracy, while a large angle of separation can cause an excessive number of erroneous points in the DEM from occlusion of ground areas. The use of three or more images registered to the same ground area can potentially reduce these problems and improve the accuracy of the extracted DEM. The pointing capability of some sensors, such as the Multispectral Thermal Imager (MTI), allows for multiple collects of the same area from different perspectives. This functionality of MTI makes it a good candidate for the implementation of a DEM extraction algorithm using multiple images for improved accuracy. Evaluation of this capability and development of algorithms to geometrically model the MTI sensor and extract DEMs from multi-look MTI imagery are described in this paper. An RMS elevation error of 6.3-meters is achieved using 11 ground test points, while the MTI band has a 5-meter ground sample distance. Copyright ASPRS Numéro de notice : A2007-059 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.2.133 En ligne : https://doi.org/10.14358/PERS.73.2.133 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28424
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 2 (February 2007) . - pp 133 - 142[article]2D building change detection from high resolution aerial images and correlation digital surface models / Nicolas Champion (2007)
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PermalinkPermalinkPermalinkPermalinkAutomatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)
PermalinkAutomatic man-made object extraction and 3D scene reconstruction from geomatic-images; Is there still a long way to go? / Nicolas Paparoditis (2007)
PermalinkContour line thinning and multigrid generation of raster-based digital elevation models / E. Katona in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)
PermalinkContribution d'un SIG à la gestion des ressources en eaux souterraines : cas de la nappe profonde de Sfax, Tunisie / Nadia Trabelsi in Géomatique expert, n° 54 (01/01/2007)
PermalinkDEM resolution dependencies of terrain attributes across a landscape / Y. Deng in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)
PermalinkExtraction 3D de marquages routiers à partir d'images aériennes multi-vues et quelques applications / Olivier Tournaire (2007)
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