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LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management / F. Morsdorf in Remote sensing of environment, vol 92 n° 3 (30 August 2004)
[article]
Titre : LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management Type de document : Article/Communication Auteurs : F. Morsdorf, Auteur ; E. Meier, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 353 - 362 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] forêt boréale
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] incendie de forêt
[Termes IGN] lasergrammétrie
[Termes IGN] lutte contre l'incendie
[Termes IGN] reconstruction 3D
[Termes IGN] risque naturel
[Termes IGN] segmentation d'image
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Vegetation structure is an important parameter in fire risk assessment and fire behavior modeling. We present a new approach deriving the structure of the upper canopy by segmenting single trees from small footprint LIDAR data and deducing their geometric properties. The accuracy LIDAR data is evaluated using six geometric reference targets, with the standard deviation of the LIDAR returns on the target being as low as 0.06 m. The segmentation is carried out by using cluster analysis on the LIDAR raw data in all three coordinate dimensions. From the segmented clusters, tree position, tree height, and crown diameter are derived and compared with field measurements. A robust linear regression of 917 tree height measurements yields a slope of 0.96 with an offset of 1 m and the adjusted R 2 resulting at 0.92. However, crown diameter is not well matched by the field measurements, with R2 being as low as 0.2, which is most certainly due to random errors in the field measurements. Finally, a geometric reconstruction of the forest scene using a paraboloid model is carried out using values of tree positsion, tree height, crown diameter, and crown base height.
Copyright ElsevierNuméro de notice : A2004-384 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.013 En ligne : https://doi.org/10.1016/j.rse.2004.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26911
in Remote sensing of environment > vol 92 n° 3 (30 August 2004) . - pp 353 - 362[article]Mapping wildfire occurrence at regional scale / J. De La Riva in Remote sensing of environment, vol 92 n° 3 (30 August 2004)
[article]
Titre : Mapping wildfire occurrence at regional scale Type de document : Article/Communication Auteurs : J. De La Riva, Auteur ; F. Perez-Cabello, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 363 - 369 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] cartographie automatique
[Termes IGN] données maillées
[Termes IGN] estimation par noyau
[Termes IGN] incendie de forêt
[Termes IGN] interpolation
[Termes IGN] reconnaissance de surfaceRésumé : (Auteur) When assessing fire danger, interpolation of the dependent variable-historic fire occurrence-is required in order to statistically compare and analyze it with human factors, environmental parameters and census statistics. To confirm the compatibility between the distinct data types, occasionally, for this kind of spatial analysis, historical observations of the primary wildland fire (given as x and y coordinates) must be transformed either to continuous surfaces or to area data. The simple overlay approach converts single point observations to area data. However, this procedure assumes lack of spatial uncertainties that would otherwise result in serious errors caused by the positional inaccuracies of the original point observations.
Here, we used kernel density interpolation to convert the original data on wildland fire ignition into an expression of areal units, defined by a raster grid and, subsequently, by the administrative borders of the municipalities in two study areas in Spain. By overlaying a normal bivariate probability density function (kernel) over each point observation, each ignition point was considered an uncertain point location rather than an exact one.Numéro de notice : A2004-385 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.022 En ligne : https://doi.org/10.1016/j.rse.2004.06.022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26912
in Remote sensing of environment > vol 92 n° 3 (30 August 2004) . - pp 363 - 369[article]Automatic change detection by evidential fusion of change indices / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 91 n° 3 (30/06/2004)
[article]
Titre : Automatic change detection by evidential fusion of change indices Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; R. Seltzer, Auteur Année de publication : 2004 Article en page(s) : pp 390 - 404 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] fusion de données
[Termes IGN] image optique
[Termes IGN] incendie de forêt
[Termes IGN] théorie de Dempster-Shafer
[Termes IGN] valeur radiométriqueRésumé : (Auteur) The detection of changes affecting continental surfaces has important applications in hydrological, meteorological, and climatic modeling. We propose a way to improve mono-index change detection by a fusion of multi-index change detection results. This fusion is performed in the framework of the Dempster-Shafer evidence theory, which is particularly suited to the representation of imprecision and ignorance at the "no change"/" change" class border. Depending on the change detection index considered, we also need to determine the class number and features. This is done using the a contrario theory approach rather than classical statistical tests. The proposed algorithm is applied to forest fire damage evaluation based on three popular change indices: normalized difference values, texture evolution, and mutual information (MI). We find that change index fusion is effective at reducing both false alarm and misdetection levels, due to the complementary nature of these indices. Numéro de notice : A2004-281 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.04.001 En ligne : https://doi.org/10.1016/j.rse.2004.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26808
in Remote sensing of environment > vol 91 n° 3 (30/06/2004) . - pp 390 - 404[article]Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data / M. Maki in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
[article]
Titre : Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data Type de document : Article/Communication Auteurs : M. Maki, Auteur ; M. Ishiahra, Auteur ; M. Tamura, Auteur Année de publication : 2004 Article en page(s) : pp 440 - 450 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] image SPOT-Végétation
[Termes IGN] incendie de forêt
[Termes IGN] Normalized Difference Water Index
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] risque naturel
[Termes IGN] sécheresse
[Termes IGN] stress hydrique
[Termes IGN] surveillance forestièreRésumé : (Auteur) Estimating the water status of vegetation is one of the most important elements in assessing forest fire danger. In this paper, laboratory measurement confirmed a relationship between leaf water status and the normalized difference water index (NDWI), derived from nearinfrared and shortwave-infrared spectral data. Two results were confirmed: (a) NDWI is related to equivalent water thickness, and, (b) in addition to NDWI, the quantity of leaf material must be known in order to estimate vegetation dryness. Based on these findings, the authors developed a vegetation dryness index (VDI) to estimate global vegetation water content. VDI values, calculated by using SPOT/VEGETATION data, were applied to data from a 1998 forest fire in the Russian Far East. This led to two results: (a) VDI was useful for detecting areas with a high potential for ignition, and (b) VDI may have been able to detect the fire-spread direction. Numéro de notice : A2004-190 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.002 En ligne : https://doi.org/10.1016/j.rse.2004.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26717
in Remote sensing of environment > vol 90 n° 4 (30/04/2004) . - pp 440 - 450[article]Global fire monitoring: use of MODIS near-real-time satellite data / D.J. Davies in GIM international, vol 18 n° 4 (April 2004)
[article]
Titre : Global fire monitoring: use of MODIS near-real-time satellite data Type de document : Article/Communication Auteurs : D.J. Davies, Auteur ; Satish Kumar, Auteur ; J. Descloitres, Auteur Année de publication : 2004 Article en page(s) : pp 41 - 43 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] gaz
[Termes IGN] image Terra-MODIS
[Termes IGN] incendie
[Termes IGN] risque naturel
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) Global fire detection, derived from MODIS data, is available on the Internet approximately 4-6 hours after satellite overpass through a partnership between the NASA Goddard Space Flight Centre and the University of Maryland. This active fire data is provided as overlays on MODIS true colour imagery and through a series of searchable, interactive web-mapping sites. This article provides a description of MODIS Rapid Response and Web Fire Mapper, the key components of this collaborative effort. Numéro de notice : A2004-146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26673
in GIM international > vol 18 n° 4 (April 2004) . - pp 41 - 43[article]Réservation
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