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3D visualization for the analysis of forest cover change / M.D. Dunbar in Geocarto international, vol 19 n° 2 (June - August 2004)
[article]
Titre : 3D visualization for the analysis of forest cover change Type de document : Article/Communication Auteurs : M.D. Dunbar, Auteur ; L.M. Moskal, Auteur ; M.E. Jakubauskas, Auteur Année de publication : 2004 Article en page(s) : pp 103 - 112 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] animation graphique
[Termes IGN] changement d'occupation du sol
[Termes IGN] couvert végétal
[Termes IGN] données spatiotemporelles
[Termes IGN] forêt
[Termes IGN] Idaho (Etats-Unis)
[Termes IGN] Montana (Etats-Unis)
[Termes IGN] occupation du sol
[Termes IGN] parc naturel national
[Termes IGN] Pinus contorta
[Termes IGN] réalité virtuelle
[Termes IGN] système d'information géographique
[Termes IGN] visualisation 3D
[Termes IGN] Wyoming (Etats-Unis)Résumé : (Auteur) Visualization techniques have been developed to recreate natural landscapes, but little has been done to investigate their potential for illustrating land cover change using spatio-temporal data. In this work, remote sensing, geographic information systems (GIS) and visualization techniques were applied to generate realistic computer visualizations depicting the dynamic nature of forested environments. High resolution digital imagery and aerial photography were classified using object-oriented methods. . The resulting classifications, along with preexisting land cover datasets, were used to drive the correct placement of vegetation in the visualized landscape, providing an accurate representation of reality at various points in time. 3D Nature's Visual Nature Studio was used to construct a variety of realistic images and animations depicting forest cover change in two distinct ecological settings. Visualizations from Yellowstone National Park focused on the dramatic impact of the 1988 fire upon the lodgepole pine forest. For a study area in Kansas, visualization techniques were used to explore the continuous human-land interactions impacting the eastern deciduous. forest and tallgrass prairie ecotone between 1941 and 2002. The resulting products demonstrate the flexibility and effectiveness of visualizations for representing spatio-temporal patterns such as changing forest cover. These geographic visualizations allow users to communicate findings and explore new hypotheses in a clear, concise and effective manner. Numéro de notice : A2004-290 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542310 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542310 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26817
in Geocarto international > vol 19 n° 2 (June - August 2004) . - pp 103 - 112[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-04021 RAB Revue Centre de documentation En réserve L003 Disponible Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest / X. Chen in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
[article]
Titre : Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest Type de document : Article/Communication Auteurs : X. Chen, Auteur ; Lee Alexander Vierling, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 14 - 26 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse multicritère
[Termes IGN] couvert forestier
[Termes IGN] Dakota du Sud (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] forêt
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] Pinus ponderosaRésumé : (Auteur) Structural and functional analyses of ecosystems benefit when high accuracy vegetation coverages can be derived over large areas. In this study, we utilize IKONOS, Landsat 7 ETM+, and airborne scanning light detection and ranging (lidar) to quantify coniferous forest and understory grass coverages in a ponderosa pine (Pinus ponderosa) dominated ecosystem in the Black Hills of South Dakota. Linear spectral mixture analyses of IKONOS and ETM+ data were used to isolate spectral endmembers (bare soil, understory grass, and tree/shade) and calculate their subpixel fractional coverages. We then compared these endmember cover estimates to similar cover estimates derived from lidar data and field measures. The IKONOS-derived tree/shade fraction was significantly correlated with the field-measured canopy effective leaf area index (LAIe) (r2 = 0.55, p Numéro de notice : A2004-235 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.003 En ligne : https://doi.org/10.1016/j.rse.2003.11.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26762
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 14 - 26[article]Seeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height / S.C. Pospecu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)
[article]
Titre : Seeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height Type de document : Article/Communication Auteurs : S.C. Pospecu, Auteur ; R. Wynne, Auteur Année de publication : 2004 Article en page(s) : pp 589 - 604 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] feuillu
[Termes IGN] fusion d'images
[Termes IGN] hauteur des arbres
[Termes IGN] identification automatique
[Termes IGN] image multibande
[Termes IGN] modèle de régression
[Termes IGN] Pinus (genre)Résumé : (Auteur) The main study objective was to develop robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating plot-level tree height by measuring individual trees identifiable on the three-dimensional lidar surface. Lidar processing techniques included data fusion with multispectral optical data and local filtering with both square and circular windows of variable size. The lidar system used for this study produced an average footprint of 0.65 m and an average distance between laser shots of 0.7 m. The lidar data set was acquired over deciduous and coniferous stands with settings typical of the southeastern United States. The lidar-derived tree measurements were used with regression models and cross-validation to estimate tree height on 0.017-ha plots. For the pine plots, lidar measurements explained 97 percent of the variance associated with the mean height of dominant trees. For deciduous plots, regression models explained 79 percent of the mean height variance for dominant trees. Filtering for local maximum with circular windows gave better fitting models for pines, while for deciduous trees, filtering with square windows provided a slightly better model fit. Using lidar and optical data fusion to differentiate between forest types provided better results for estimating average plot height for pines. Estimating tree height for deciduous plots gave superior results without calibrating the search window size based on forest type. Numéro de notice : A2004-181 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.589 En ligne : https://doi.org/10.14358/PERS.70.5.589 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26708
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 589 - 604[article]Processing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)
[article]
Titre : Processing Hyperion and ALI for forest classification Type de document : Article/Communication Auteurs : D.G. Goodenough, Auteur ; A. Dyk, Auteur ; K.O. Niemann, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 1321 - 1337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Canada
[Termes IGN] classification dirigée
[Termes IGN] correction d'image
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] image EO1-ALI
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] Pinophyta
[Termes IGN] Pinus contorta
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] Thuja plicataRésumé : (Auteur) Hyperion (a hyperspectral sensor) and the Advanced Land Imager (ALI) (a multispectral sensor) are carried on the National Aeronautics and Space Administration's Earth Observing 1 (EO-1) satellite. The Evaluation and Validation of EO-1 for substainable Development (EVEOSD) is our project supporting the EO-1 mission. With 10% of the world's forests and the second country by area in the world, Canada has a natural requirement for effective monitoring of its forests. Eight test sites have been selected for EVEOSD, with seven in Canada and one United States. Extensive fieldwork has been conducted at four of these sites. A comparison is made of forest classification from Hyperion, ALI, and the Enhanced Thematic Mapper (ETM+) of Landsat-7 for the Greater Victoria Watershed. The data have been radiometrically corrected and orthorectified. Feature selection and statistical transforms are used to reduce the Hyperion feature space from 198 channels to 11 features. Classes chosen for discrimination included Douglasfir, hemlock, western, redcedar, lodgepole pine, and red alder. Overall classification accuracies obtained for each sensor were Hyperion 90.0 %, ALI 84.8% and ETM+ 75.0%. Hyperspectral remote sensing provides significant advantages and greater accuracies over ETM+ for forest discrimination. The EO-1 sensors, Hyperion and ALI, provide data with excellent discrimination for Pacific Northwest in comparison to Landsat-7 ETM+. Numéro de notice : A2003-216 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813214 En ligne : https://doi.org/10.1109/TGRS.2003.813214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22512
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 6 (June 2003) . - pp 1321 - 1337[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03061 RAB Revue Centre de documentation En réserve L003 Disponible Mountain pine beetle red-attack forest damage classification using stratified Landsat TM data in British Columbia, Canada / Steven E. Franklin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)
[article]
Titre : Mountain pine beetle red-attack forest damage classification using stratified Landsat TM data in British Columbia, Canada Type de document : Article/Communication Auteurs : Steven E. Franklin, Auteur ; Michael A. Wulder, Auteur ; R.S. Skakun, Auteur ; A.L. Caroll, Auteur Année de publication : 2003 Article en page(s) : pp 283 - 288 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte forestière
[Termes IGN] cartographie thématique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] dommage matériel
[Termes IGN] image Landsat-TM
[Termes IGN] Insecta
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] maladie phytosanitaire
[Termes IGN] outil d'aide à la décision
[Termes IGN] Pinus contorta
[Termes IGN] sylviculture
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The identification and classification of mountain pine beetle, Dentroctonus ponderos (Hopkins), red-attack damage patterns in a mature lodgepole pine (Pinus contorta) forest located in the Forst St-James forest Distric, British Columbia, was accomplished using 1999 Landsat TM satellite imagery, 1999 mountain pine beetle field and aerial survey point data, and GIS forest inventory data. Unrelated variance in the observed spectral response at mountain pine beetle field and aerial survey points was reduced following image stratification with the GIS forest inventory data and removal of other factors uncharacteristic of red-attack damage. Locations of known mountain pine beetle infestation were used to train a maximum-likelihood algorithm ; overall classification accuracy was 73 percent, based on an assessment of 360 independent validation points. If local stand variability is reduced prior to signature generation, accuracies and mao products can be useful for those involved in active forest management decision making regarding mountain pine beetle infestations. Numéro de notice : A2003-030 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.3.283 En ligne : https://doi.org/10.14358/PERS.69.3.283 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22327
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 3 (March 2003) . - pp 283 - 288[article]Gestion intégrée de la chênaie verte méditerranéenne : Application à deux massifs de la région Languedoc-Roussillon / Georges de Maupeou in Revue forestière française, vol 54 n° 1 (janvier - février 2002)PermalinkOn 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)PermalinkBiogéographie, écologie et valeur patrimoniale des forêts de pin sylvestre (Pinus sylvestris L.) en région méditerranéenne / Frédéric Medail in Forêt méditerranéenne, vol 22 n° 1 (mars 2001)PermalinkSignification biogéographique et biodiversité des forêts du bassin méditerranéen / Marcel Barbero (2001)PermalinkQuand les gènes vont et viennent, l'introgression entre le pin sylvestre et le pin à crochets / Michel Bartoli in La garance voyageuse, n° 46 (juin - août 1999)PermalinkPrise en compte de la qualité des données dans la conduite de projet / S. Bachelet (1999)PermalinkLe rougissement printanier du douglas dans le Massif central / Philippe Legrand in Forêts de France, n° 415 (juillet-août 1998)PermalinkDernières nouvelles des géants de lorraine et d'alsace / Gérard Colin in Revue forestière française, vol 50 n° 5 (1998)PermalinkEstimation de caractéristiques forestières à partir d'images à haute résolution spatiale (SPOT 5) / Dominique Guyon in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 141 (Janvier 1996)PermalinkPlace, rôle et valeur historique des éléments laurifolies dans les végétations préforestières et forestières ouest-méditerranéenne / Marcel Barbero in Annali di Botanica, n° 52 (1994)Permalink