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Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR / William L. Marks in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 33 - 42 Titre : Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR Type de document : Article/Communication Auteurs : William L. Marks, Auteur ; Ross S. Lunetta, Auteur ; John S. Iiames, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 33 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] biomasse [Termes IGN] Caroline du Nord (Etats-Unis) [Termes IGN] drone [Termes IGN] forêt [Termes IGN] image radar moirée [Termes IGN] Pinus taeda [Termes IGN] polarimétrie radar Résumé : (Auteur) Fully polarimetric L-band Synthetic Aperture Radar (SAR) backscatter was collected using NASA's Unmanned Aerial Vehicle (UAV) SAR and regressed with in situ measure-ments of basal area (BA) and above ground biomass (AGB) of mature Loblolly pine stands in North Carolina. Results found HH polarization consistently displayed the lowest correlations where HV andVV exhibited the highest correlations in all groups for both BA and AGB. When plantation stands were analyzed separately (plantation versus natural), correlation improved significantly for both BA (R2 = 0.65, hv) and AGB (R2 = 0.66, vv). Similarly, results improved when natural stands were analyzed separately resulting in the highest correlation for AGB (R2 = 0.63, HV and VV). Data decomposition using the Freeman 3-component model indicated that the relative low correlations were due to the saturation of the L-band backscatter across the majority of the study area. Numéro de notice : A2014-091 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.33 En ligne : https://doi.org/10.14358/PERS.80.1.33 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32996 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2014011	RAB	Revue	Centre de documentation	En réserve 3L	En circulation Exclu du prêt

Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions / Jason M. Stocker in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 59 - 70 Titre : Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions Type de document : Article/Communication Auteurs : Jason M. Stocker, Auteur ; Mark A. Cochrane, Auteur ; David P. Roy, Auteur Année de publication : 2014 Article en page(s) : pp 59 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] base de données localisées [Termes IGN] données lidar [Termes IGN] hauteur (coordonnée) [Termes IGN] intégration de données [Termes IGN] occupation du sol [Termes IGN] régression linéaire [Termes IGN] United States Geological Survey Résumé : (Auteur) With the acquisition of lidar data for over 30 percent of the US, it is now possible to assess the three-dimensional distribution of features at the national scale. This paper integrates over 350 billion lidar points from 28 disparate datasets into a national-scale database and evaluates if height above ground is an important variable in the context of other national-scale layers, such as the US Geological Survey National Land Cover Database and the US Environmental Protection Agency ecoregions maps. While the results were not homoscedastic and the available data did not allow for a complete height census in any of the classes, it does appear that where lidar data were used, there were detectable differences in heights among many of these national classification schemes. This study supports the hypothesis that there were real, detectable differences in heights in certain national-scale classification schemes, despite height not being a variable used in any of the classification routines. Numéro de notice : A2014-092 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.59 En ligne : https://doi.org/10.14358/PERS.80.1.59 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32997 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2014011	RAB	Revue	Centre de documentation	En réserve 3L	En circulation Exclu du prêt

Fast hierarchical segmentation of high-resolution remote sensing images with adaptative edge penalty / Xuellang Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 71 - 80 Titre : Fast hierarchical segmentation of high-resolution remote sensing images with adaptative edge penalty Type de document : Article/Communication Auteurs : Xuellang Zhang, Auteur ; Pending Xiao, Auteur ; Xuezhi Feng, Auteur Année de publication : 2014 Article en page(s) : pp 71 - 80 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] image à haute résolution [Termes IGN] image aérienne [Termes IGN] image Quickbird [Termes IGN] image Worldview [Termes IGN] segmentation d'image [Termes IGN] segmentation hiérarchique [Termes IGN] segmentation multi-échelle Résumé : (Auteur) A fast hierarchical segmentation method (FHS) for high-resolution remote sensing (HR) image is proposed in the paper. FHS is completely unsupervised. It is characterized by two aspects. First, the hierarchical segmentation process is accelerated by the improved linear nearest neighbor graph (LNNG) model and the segment tree model. It runs faster than other existing hierarchical segmentation methods, and can produce multi-resolution segmentations in time linear to the image size. Second, an adaptive edge penalty function is introduced to formulate the merging criterion, serving as a semantic factor. A set of QuickBird, WorldView, and aerial images is used to test the proposed method. The experiments show that the multi-resolution segmentations produced by FHS can represent objects at different scales very well. Moreover, the adaptive edge penalty function helps to remove meaningless weak edges within objects, enclosing the relation between segments and real-world objects. Numéro de notice : A2014-093 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.71 En ligne : https://doi.org/10.14358/PERS.80.1.71 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32998 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2014011	RAB	Revue	Centre de documentation	En réserve 3L	En circulation Exclu du prêt

Synergetic use of optical and polSAR imagery for urban impervious surface estimation / Huadong Guo in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 91 - 102 Titre : Synergetic use of optical and polSAR imagery for urban impervious surface estimation Type de document : Article/Communication Auteurs : Huadong Guo, Auteur ; Huaining Yang, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 91 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] image optique [Termes IGN] image radar [Termes IGN] image SPOT 5 [Termes IGN] surface imperméable [Termes IGN] zone urbaine dense Résumé : (Auteur) Impervious surface estimation has been widely conducted with medium-high resolution optical imagery. Challenges however, remain in aspects of spectral similarity of different objects, mixed pixel, and shadows of tall buildings or large tree crowns. In order to reduce these uncertainties, this study explores the synergistic use of optical and radar remote sensing datasets in highly populated urban areas. A comparative analysis is performed between the RADARSAT-2 full POLSAR image and the SPOTS optical image. For both datasets, the C5.0 decision tree algorithm is applied to select features extracted to build a decision tree for urban impervious surface classification. It is found in this study that optical and POLSAR images possess different merits in delineating urban land surfaces. The POLSAR data is helpful for delineating bright impervious surfaces (e.g., buildings) and bare soils, which is often a difficult task for optical data. However, the confusion between dark impervious surfaces and bare soils becomes a severe problem due to similar surface scattering mechanisms. The intrinsic characteristics of radar scattering (e.g., layover and shadow effects) also result in high uncertainties in dense urban areas. These problems are leveraged when both optical and decomposed POLSAR features are considered. The results from this study indicate that the synergistic use of optical and POLSAR data could be an efficient approach to improving the estimation of urban impervious surfaces. Numéro de notice : A2014-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.91 En ligne : https://doi.org/10.14358/PERS.80.1.91 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32999 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2014011	RAB	Revue	Centre de documentation	En réserve 3L	En circulation Exclu du prêt