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Termes IGN > sciences naturelles > physique > traitement d'image > photogrammétrie > photogrammétrie numérique > modèle numérique de surface
modèle numérique de surfaceSynonyme(s)modèle numérique d'élévation ;modèle numérique d'altitude ;MNE ;MNA ;DEM MNSVoir aussi |
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Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
[article]
Titre : Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan Type de document : Article/Communication Auteurs : Masato Hayashi, Auteur ; Nobuko Saigusa, Auteur ; Hiroyuki Oguma, Auteur ; Yoshiki Ymagata, Auteur Année de publication : 2013 Article en page(s) : pp 12 - 18 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] données ICEsat
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] Hokkaido (Japon)
[Termes IGN] modèle numérique de surface
[Termes IGN] penteRésumé : (Auteur) Spaceborne light detection and ranging (LiDAR) enables us to obtain information about vertical forest structure directly, and it has often been used to measure forest canopy height or above-ground biomass. However, little attention has been given to comparisons of the accuracy of the different estimation methods of canopy height or to the evaluation of the error factors in canopy height estimation. In this study, we tested three methods of estimating canopy height using the Geoscience Laser Altimeter System (GLAS) onboard NASA’s Ice, Cloud, and land Elevation Satellite (ICESat), and evaluated several factors that affected accuracy. Our study areas were Tomakomai and Kushiro, two forested areas on Hokkaido in Japan. The accuracy of the canopy height estimates was verified by ground-based measurements. We also conducted a multivariate analysis using quantification theory type I (multiple-regression analysis of qualitative data) and identified the observation conditions that had a large influence on estimation accuracy. The method using the digital elevation model was the most accurate, with a root-mean-square error (RMSE) of 3.2 m. However, GLAS data with a low signal-to-noise ratio (?10.0) and that taken from September to October 2009 had to be excluded from the analysis because the estimation accuracy of canopy height was remarkably low. After these data were excluded, the multivariate analysis showed that surface slope had the greatest effect on estimation accuracy, and the accuracy dropped the most in steeply sloped areas. We developed a second model with two equations to estimate canopy height depending on the surface slope, which improved estimation accuracy (RMSE = 2.8 m). These results should prove useful and provide practical suggestions for estimating forest canopy height using spaceborne LiDAR. Numéro de notice : A2013-385 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.04.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32523
in ISPRS Journal of photogrammetry and remote sensing > vol 81 (July 2013) . - pp 12 - 18[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013071 RAB Revue Centre de documentation En réserve L003 Disponible Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)
[article]
Titre : Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA Type de document : Article/Communication Auteurs : L. Shea Rose, Auteur ; Jeong C. Seong, Auteur ; Jared Ogle, Auteur ; Ed Beute, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 210 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Géorgie (Etats-Unis)
[Termes IGN] marais salant
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] tourbe
[Termes IGN] zone humideRésumé : (Auteur) Airborne LiDAR (Light Detection and Ranging) provides opportunities to generate high-quality digital elevation models (DEMs) even in wetland environments. Our project, performed over the Okefenokee Swamp in Georgia during the spring of 2010, shows that several, distinctive factors must be considered to ensure successful wetland LiDAR projects. Some of the challenges include selecting optimal flight times in accordance with weather variability and water levels, having effective and quality control protocols, applying and developing filtering and interpolation algorithms, breaklines in swamps and accounting for data striping and noise. While some of these issues are faced in any airborne LiDAR acquisition, many of these require special consideration in a low-slope wetland environment with water saturated soils, widespread shallow water, and sediments and extensive vegetation. An examination of these issues and how they were handled will help in ensuring the success of future LiDAR acquisitions and, in particular, will advance knowledge of producing quality DEMs in wetland environments. Numéro de notice : A2013-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.681707 Date de publication en ligne : 14/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.681707 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32534
in Geocarto international > vol 28 n° 3-4 (June - July 2013) . - pp 210 - 226[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Influence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)
[article]
Titre : Influence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM Type de document : Article/Communication Auteurs : Samuel B. Gould, Auteur ; Nancy F. Glenn, Auteur ; Temuulen T. Sankey, Auteur ; James P. Macnamara, Auteur Année de publication : 2013 Article en page(s) : pp 421 - 431 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] arbuste
[Termes IGN] données GPS
[Termes IGN] données lidar
[Termes IGN] erreur de mesure
[Termes IGN] Idaho (Etats-Unis)
[Termes IGN] modèle numérique de surface
[Termes IGN] montagne
[Termes IGN] signal laser
[Termes IGN] signal lidarRésumé : (Auteur) Airborne lidar provides an effective platform for collecting elevation data. However, the accuracy of lidar-derived digital elevation models (dbms) can be adversely affected by natural conditions as well as methods used to process the data. Using a lidar dataset from a mountainous region of southwest Idaho, this study extends previous assessments of DEM accuracy with a focused investigation of a specific dense, low-height shrub species (Ceanothus velutinus). Bare-earth elevations were collected using survey-grade GPS and compared to lidar-derived elevations to assess DEM accuracy. Results suggest that the magnitude of elevation error varied depending on morphological characteristics of ceanothus, terrain slope, and filtering parameters used to process the lidar data. When using optimal filtering parameters, root mean square error (RMSEZ) was largest in areas of ceanothus cover, ranging from 0.17 to 0.26m in slopes 25°. An examination of lidar returns found that ceanothus obstructed laser pulse penetration and few returns reached the ground surface. In areas of ceanothus cover, we conclude that the obstruction of the ground surface contributed to filtering errors, which resulted in mislabeled ground returns and decreased accuracy in bare-earth OEMs. These results have implications for the use of lidar-derived OEMs in areas of ceanothus throughout western North America, and in ecosys-tems with similar dense shrub cover. Numéro de notice : A2013-280 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.5.421 En ligne : https://doi.org/10.14358/PERS.79.5.421 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32418
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 5 (May 2013) . - pp 421 - 431[article]A novel technique for the automatic detection of surface clutter returns in radar sounder data / Adam Ferro in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)
[article]
Titre : A novel technique for the automatic detection of surface clutter returns in radar sounder data Type de document : Article/Communication Auteurs : Adam Ferro, Auteur ; Alain Pascal, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2013 Article en page(s) : pp 3037 - 3055 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection automatique
[Termes IGN] fouillis d'échos
[Termes IGN] image radar
[Termes IGN] Mars (planète)
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] radargrammétrie
[Termes IGN] simulation
[Termes IGN] sondeur acoustique
[Termes IGN] surface du solRésumé : (Auteur) One of the most critical problems that affect the analysis of orbiting radar sounder data is the presence of spurious surface clutter returns. These are due to off-nadir echoes related to surface topography which may be detected as (or mask) actual subsurface targets. The detection of such returns is usually carried out manually through a visual comparison between actual radargrams and surface clutter simulations obtained using available digital elevation models (DEMs). This is an inherently subjective and time-consuming task, which may reduce the scientific return of the data. In this paper, we address this problem by proposing a novel technique for the automatic detection of surface clutter returns in radar sounder data. The proposed method is made up of three steps: 1) the simulation of surface clutter returns using available DEMs; 2) the automatic coregistration between radargrams and simulations; and 3) the extraction of surface clutter returns from the coregistered radargrams. The coregistration step is performed in two phases: 1) a coarse registration based on the detection of the first return line on both input radargrams and 2) a fine registration based on B-spline deformation. The proposed technique is robust to radargram geometric deformations (e.g., due to ionospheric effects) and allows the generation of different types of outputs (e.g., coregistered simulations, binary clutter maps, and false-color compositions) that can both greatly support the scientific community in the manual analyses of radar sounder data and drive the development of reliable automatic methods for high level processing. The effectiveness of the proposed method is proven on two data sets acquired on different areas of Mars by the Shallow Radar instrument. Numéro de notice : A2013-272 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2219315 En ligne : https://doi.org/10.1109/TGRS.2012.2219315 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32410
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3037 - 3055[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013051B RAB Revue Centre de documentation En réserve L003 Disponible Region-based automatic building and forest change detection on Cartosat-1 stereo imagery / Jing Tian in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
[article]
Titre : Region-based automatic building and forest change detection on Cartosat-1 stereo imagery Type de document : Article/Communication Auteurs : Jing Tian, Auteur ; Peter Reinartz, Auteur ; Pablo d' Angelo, Auteur ; Manfred Ehlers, Auteur Année de publication : 2013 Article en page(s) : pp 226 - 239 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] bâtiment industriel
[Termes IGN] détection de changement
[Termes IGN] fonction régionalisée
[Termes IGN] forêt
[Termes IGN] image Cartosat-1
[Termes IGN] image panchromatique
[Termes IGN] modèle numérique de surface
[Termes IGN] orthorectificationRésumé : (Auteur) In this paper a novel region-based method is proposed for change detection using space borne panchromatic Cartosat-1 stereo imagery. In the first step, Digital Surface Models (DSMs) from two dates are generated by semi-global matching. The geometric lateral resolution of the DSMs is 5 m x 5 m and the height accuracy is in the range of approximately 3 m (RMSE). In the second step, mean-shift segmentation is applied on the orthorectified images of two dates to obtain initial regions. A region intersection following a merging strategy is proposed to get minimum change regions and multi-level change vectors are extracted for these regions. Finally change detection is achieved by combining these features with weighted change vector analysis. The result evaluations demonstrate that the applied DSM generation method is well suited for Cartosat-1 imagery, and the extracted height values can largely improve the change detection accuracy, moreover it is shown that the proposed change detection method can be used robustly for both forest and industrial areas. Numéro de notice : A2013-239 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.02.017 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.02.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32377
in ISPRS Journal of photogrammetry and remote sensing > vol 79 (May 2013) . - pp 226 - 239[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013051 RAB Revue Centre de documentation En réserve L003 Disponible Low altitude aerial photography applications for digital surface models creation in archaeology / José-Angel Martinez-Del-Pozo in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkAn improved simple morphological filter for the terrain classification of airborne LIDAR data / Thomas J. Pingel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkExtracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework / Mathieu Brédif in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkImproving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet / D. Giribabu in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkGround filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkPermalinkPermalinkContribution à la mise en place d'un SIG fédérateur des données géographiques pour l'aménagement et les infrastructures / Mustapha Mimouni (2013)PermalinkManual of photogrammetry, sixth edition / J. Chris Mcglone (2013)PermalinkUtilisation d'image satellitaire et d'un modèle numérique d'altitude pour la cartographie des zones à risque d'inondation sur le littoral méditerranéen de Saïdia (Nord-Est du Maroc) / M. Mouzouri in Revue Française de Photogrammétrie et de Télédétection, n° 201 (Janvier 2013)PermalinkEDM calibration and finding errors in the baseline / D. C. Annunciation in SaLIS Surveying and land information science, vol 72 n° 4 (December 2012)PermalinkGIS-based modeling of sea level rise effect on coastal property management policies / C. A. Nettleman in SaLIS Surveying and land information science, vol 72 n° 4 (December 2012)PermalinkAirborne lidar for natural environments: research and applications in France / C. Puech in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)PermalinkPermalinkDigital Elevation Model from the best results of different filtering of a LiDAR point cloud / T. Podobnikar in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkGeorelief transfiguration in areas affected by open-cast mining / J. Pacina in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkHigh resolution DEM generation in high-alpine terrain using airborne remote sensing techniques / Y. Bühler in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkModelling flow routing in permafrost landscapes with TWI: an evaluation against site-specific wetness measurements / A. Persson in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkTsunami inundation modeling and mapping using ALTM- and CARTOSAT-derived coastal topographic data / S. Nayak in Marine geodesy, vol 35 n° 4 (October - December 2012)PermalinkAssessment of a photogrammetric approach for urban DSM extraction from tri-stereoscopic satellite imagery / F. Tack in Photogrammetric record, vol 27 n° 139 (September - November 2012)Permalink