Centre de documentation
scientifique

Dépouillements

On the retrieving of forest stem volume from VHF SAR data: observation and modeling / P. Melon in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2364 - 2372 Titre : On the retrieving of forest stem volume from VHF SAR data: observation and modeling Type de document : Article/Communication Auteurs : P. Melon, Auteur ; J.M. Martinez, Auteur ; Thuy Le Toan, Auteur ; Lars M.H. Ulander, Auteur ; Alain Baudoin , Auteur Année de publication : 2001 Article en page(s) : pp 2364 - 2372 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] coefficient de rétrodiffusion [Termes IGN] données de terrain [Termes IGN] forêt [Termes IGN] image aérienne [Termes IGN] image radar [Termes IGN] masse végétale [Termes IGN] modèle numérique de surface [Termes IGN] Pinus (genre) [Termes IGN] réalité de terrain [Termes IGN] rétrodiffusion [Termes IGN] télédétection en hyperfréquence [Termes IGN] tronc Résumé : (Auteur) The objective of this paper is to investigate the relationships between VHF data and forest biomass using data acquired by the Airborne Imaging Radar CARABAS over two different pine plantation forests in southern France. Data are analyzed using detailed ground truth measurements available on both sites. The backscattering coefficient is strongly correlated to characteristics of the tree trunk. Signal saturation is not observed up to 900 m' /ha. However, the sensitivity to the volume is high in the range of 0500 m' /ha (e.g., 1 to 1.5 dB for 50 m3/ha), whereas it is reduced beyond 500 m3/ha ( Numéro de notice : A2001-131 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964972 En ligne : https://doi.org/10.1109/36.964972 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21827 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-01111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Fusing interferometric radar and Laser altimeter data to estimate surface topography and vegetation heights / K.C. Slatton in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2470 - 2482 Titre : Fusing interferometric radar and Laser altimeter data to estimate surface topography and vegetation heights Type de document : Article/Communication Auteurs : K.C. Slatton, Auteur ; Melba M. Crawford, Auteur ; B.L. Evans, Auteur Année de publication : 2001 Article en page(s) : pp 2470 - 2482 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] couvert végétal [Termes IGN] données lidar [Termes IGN] données multiéchelles [Termes IGN] filtre de Kalman [Termes IGN] fusion de données [Termes IGN] hauteur des arbres [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] lasergrammétrie [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] modèle numérique de sursol [Termes IGN] problème inverse [Termes IGN] télémétrie laser aéroporté Résumé : (Auteur) Interferometric synthetic aperture radar (INSAR) and laser altimeter (LIDAR) systems are both widely used for mapping topography. INSAR can map extended areas but accuracies are limited over vegetated regions, primarily because the observations are not measurements of true surface topography. The measurements correspond to a height above the true surface that depends on both the sensor and the vegetation. Conversely, topography from LIDAR is very accurate, but coverage is limited to smaller regions. We demonstrate how these technologies can be used synergistically. First, we determine surface elevations and vegetation heights from dual-baseline INSAR data by inverting an INSAR scattering model. We then combine sparse LIDAR observations with the INSAR inversion results to improve the estimates of ground elevations and vegetation heights. This is accomplished via a multiresolution Kalman Filter that provides both the estimates and a measure of their uncertainty at each location. Combining data from the two sensors provides estimates that are more accurate than those obtained from INSAR alone yet have dense, extensive coverage, which is difficult to obtain with LIDAR. Contributions of this work include 1) combining physical modeling with multiscale estimation to accommodate non-linear measurement-state relationships and 2) improving estimates of ground elevations and vegetation heights for remote sensing applications. Numéro de notice : A2001-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964984 En ligne : https://doi.org/10.1109/36.964984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21828 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-01111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modeling and estimation of the spatial variation of elevation error in high resolution DEM from stereo-image processing / C.H. Davis in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2483 - 2489 Titre : Modeling and estimation of the spatial variation of elevation error in high resolution DEM from stereo-image processing Type de document : Article/Communication Auteurs : C.H. Davis, Auteur ; H. Jiang, Auteur ; X. Wang, Auteur Année de publication : 2001 Article en page(s) : pp 2483 - 2489 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] GPS en mode cinématique [Termes IGN] modèle d'erreur [Termes IGN] modèle numérique de surface [Termes IGN] positionnement cinématique [Termes IGN] traitement d'image Résumé : (Auteur) The spatial variability of elevation errors in high-resolution digital elevation models (DEMs) derived from stereo-image processing is examined. Error models are developed and evaluated by examining the correlation between various DEM parameters and the magnitude of the observed DEM vertical error. DEM vertical errors were estimated using a dataset of more than 51000 points of known elevation obtained from a kinematic global positioning satellite (GPS) ground survey. Elevation variability and the quality of the stereo-correlation match over small spatial scales were the dominant factors that determined the magnitude of the DEM error at any given location. The error models are strongly correlated with the magnitude of the DEM vertical error and are shown to adequately represent the full range of the observed error. The error models are used to estimate the magnitude of the vertical error for every point in the DEMs. The models are then used to predict the overall error in the DEMs. The results demonstrate that the error models can accurately quantify and predict the spatial variability of the DEM error. Numéro de notice : A2001-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964985 En ligne : https://doi.org/10.1109/36.964985 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21829 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-01111	RAB	Revue	Centre de documentation	En réserve L003	Disponible