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Modélisation 3D d'arbre pour comprendre le climat urbain : un projet multidisciplinaire ambitieux / Tania Landes in XYZ, n° 141 (décembre 2014 - février 2015)
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Titre : Modélisation 3D d'arbre pour comprendre le climat urbain : un projet multidisciplinaire ambitieux Type de document : Article/Communication Auteurs : Tania Landes, Auteur ; Christelle Hayot, Auteur ; Georges Najjar, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 61 - 68 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] climat urbain
[Termes IGN] données de terrain
[Termes IGN] données laser
[Termes IGN] modélisation 3D
[Termes IGN] semis de points
[Termes IGN] Strasbourg
[Termes IGN] température de surface
[Termes IGN] villeRésumé : (Auteur) Depuis plusieurs années, les effets liés aux changements climatiques occupent régulièrement les colonnes de nos quotidiens. La fonte des glaciers, les inondations récurrentes, les catastrophes naturelles, la détérioration de la qualité de l'air, sont autant d'évènements dont la recrudescence éveille notre inquiétude. L'urbanisation incessante et la minéralisation des sols de nos villes sont sûrement des facteurs jouant un rôle prépondérant dans cette mutation. Dans ce contexte, il semble urgent d'améliorer nos connaissances sur le climat urbain, en particulier sur les facteurs l'impactant, et de trouver des solutions visant à augmenter la résilience de notre lieu de vie. Numéro de notice : A2014-682 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75185
in XYZ > n° 141 (décembre 2014 - février 2015) . - pp 61 - 68[article]Réservation
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Modélisation 3D d'arbre pour comprendre le climat urbain - pdf éditeurAdobe Acrobat PDF PTrees: A point-based approach to forest tree extraction from lidar data / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 33 (December 2014)
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Titre : PTrees: A point-based approach to forest tree extraction from lidar data Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Ahmed Hamrouni, Auteur ; S. El Mokhtari, Auteur ; J. Morel, Auteur ; Jérôme Bock, Auteur ; Jean-Pierre Renaud , Auteur ; Marine Bouvier, Auteur ; Sylvie Durrieu, Auteur Année de publication : 2014 Projets : FORESEE / Bigot-de-Morogues, Francis Article en page(s) : pp 98 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction d'arbres
[Termes IGN] houppier
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] segmentation dynamique
[Termes IGN] semis de points
[Termes IGN] traitement de données localiséesRésumé : (auteur) This paper introduces PTrees, a multi-scale dynamic point cloud segmentation dedicated to forest tree extraction from lidar point clouds. The method process the point data using the raw elevation values (Z) and compute height (H = Z − ground elevation) during post-processing using an innovative procedure allowing to preserve the geometry of crown points. Multiple segmentations are done at different scales. Segmentation criteria are then applied to dynamically select the best set of apices from the tree segments extracted at the various scales. The selected set of apices is then used to generate a final segmentation. PTrees has been tested in 3 different forest types, allowing to detect 82% of the trees with under 10% of false detection rate. Future development will integrate crown profile estimation during the segmentation process in order to both maximize the detection of suppressed trees and minimize false detections. Numéro de notice : A2014-800 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2014.05.001 Date de publication en ligne : 28/05/2014 En ligne : http://dx.doi.org/10.1016/j.jag.2014.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83462
in International journal of applied Earth observation and geoinformation > vol 33 (December 2014) . - pp 98 - 108[article]Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies / Jari Vauhkonen in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
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Titre : Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Erik Naesset, Auteur ; Terje Gobakken, Auteur Année de publication : 2014 Article en page(s) : pp 57 -66 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] troncRésumé : (Auteur)A computational canopy volume (CCV) based on airborne laser scanning (ALS) data is proposed to improve predictions of forest biomass and other related attributes like stem volume and basal area. An approach to derive the CCV based on computational geometry, topological connectivity and numerical optimization was tested with sparse-density, plot-level ALS data acquired from 40 field sample plots of 500–1000 m2 located in a boreal forest in Norway. The CCV had a high correspondence with the biomass attributes considered when derived from optimized filtrations, i.e. ordered sets of simplices belonging to the triangulations based on the point data. Coefficients of determination (R2) between the CCV and total above-ground biomass, canopy biomass, stem volume, and basal area were 0.88–0.89, 0.89, 0.83–0.97, and 0.88–0.92, respectively, depending on the applied filtration. The magnitude of the required filtration was found to increase according to an increasing basal area, which indicated a possibility to predict this magnitude by means of ALS-based height and density metrics. A simple prediction model provided CCVs which had R2 of 0.77–0.90 with the aforementioned forest attributes. The derived CCVs always produced complementary information and were mainly able to improve the predictions of forest biomass relative to models based on the height and density metrics, yet only by 0–1.9 percentage points in terms of relative root mean squared error. Possibilities to improve the CCVs by a further analysis of topological persistence are discussed. Numéro de notice : A2014-384 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73811
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 57 -66[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible Integration of Lidar and Landsat to estimate forest canopy cover in coastal British Columbia / Oumer S. Ahmed in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 10 (October 2014)
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Titre : Integration of Lidar and Landsat to estimate forest canopy cover in coastal British Columbia Type de document : Article/Communication Auteurs : Oumer S. Ahmed, Auteur ; Steven E. Franklin, Auteur ; Michael A. Wulder, Auteur Année de publication : 2014 Article en page(s) : pp 953 - 961 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] canopée
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] image Landsat
[Termes IGN] occupation du sol
[Termes IGN] PinophytaRésumé : (auteur) Airborne Light Detection and Ranging (lidar) data provide useful measurements of forest canopy structure but are often limited in spatial coverage. Satellite remote sensing data from Landsat can provide extensive spatial coverage of generalized forest information. A forest survey approach that integrates airborne lidar and satellite data would potentially capitalize upon these distinctive characteristics. In this study in coastal forests of British Columbia, the main objective was to determine the potential of Landsat imagery to accurately estimate forest canopy cover measured from small-footprint airborne lidar data in order to expand the lidar measurements to a larger area. Landsat-derived Tasseled Cap Angle (TCA) and spectral mixture analysis (SMA) endmember fractions (i.e., sunlit canopy, non-phofosynthetic vegetation (NPV), shade and exposed soil) were compared to lidar-derived canopy cover estimates. Pixel-based analysis and object-based area-weighted error calculations were used to assess regression model performance. The best canopy cover estimate was obtained (in the object-based deciduous forest models) with a mean object size (MOS) of 2.5 hectares (adjusted R2 = O.86 and RMSE = 0.28). Overall, lower canopy cover estimation accuracy was obtained for coniferous forests compared to deciduous forests in both the pixel and object-based approaches. Numéro de notice : A2014-672 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.10.953 En ligne : https://doi.org/10.14358/PERS.80.10.953 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75152
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 10 (October 2014) . - pp 953 - 961[article]Assessing the potential for leaf-off LiDAR data to model canopy closure in temperate deciduous forests / Jason R. Parent in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
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Titre : Assessing the potential for leaf-off LiDAR data to model canopy closure in temperate deciduous forests Type de document : Article/Communication Auteurs : Jason R. Parent, Auteur ; John C. Volin, Auteur Année de publication : 2014 Article en page(s) : pp 134 – 145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] forêt
[Termes IGN] objectif grand angulaire
[Termes IGN] photographie aérienne
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Estimates of canopy closure have many important uses in forest management and ecological research. Field measurements, however, are typically not practical to acquire over expansive areas or for large numbers of locations. This problem has been addressed, in recent years, through the use of airborne light detection and ranging (LiDAR) technology which has proven effective in modeling canopy closure remotely. The techniques developed to use LiDAR for this purpose have been designed and evaluated for datasets acquired during leaf-on conditions. However, a large number of LiDAR datasets are acquired during leaf-off conditions since their primary purpose is to generate bare-earth Digital Elevation Models. In this paper, we develop and evaluate techniques for leveraging small-footprint leaf-off LiDAR data to model leaf-on canopy closure in temperate deciduous forests.
We evaluate three techniques for modeling canopy closure: (1) the canopy-to-total-return-ratio (CTRR), (2) the canopy-to-total-pixel-ratio (CTPR), and (3) the hemispherical-viewshed (HV). The first technique has been used widely, in various forms, and has been shown to be effective with leaf-on LiDAR datasets. The CTRR technique that we tested uses the first-return LiDAR data only. The latter two techniques are new contributions that we develop and present in this paper. These techniques use Canopy Height Models (CHM) to detect significant gaps in the forest canopy which are of primary importance in estimating closure.
The techniques we tested each showed good promise for predicting canopy closure using leaf-off LiDAR data with the CTPR and HV models having particularly high correlations with closure estimates from hemispherical photographs. The CTRR model had performance on par with results from previous studies that used leaf-on LiDAR, although, with leaf-off data the model tended to be negatively biased with respect to species having simple and compound leaf types and positively biased for coniferous species. The CTPR and HV models also showed some slight negative biases for compound-leaf species. The biases for the CTPR and HV models were mitigated when the CHM data were smoothed to fill in small gaps. The CHM-based models were robust to changes in the CHM model resolution which suggests that these methods may be applicable to a variety of small-footprint LiDAR datasets. In this research, the new CTPR and HV methods showed a strong ability to predict canopy closure using leaf-off data, however, future work will be needed to test the applicability of the models to variations in LiDAR datasets, forest types, and topography.Numéro de notice : A2014-477 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.06.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.06.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74054
in ISPRS Journal of photogrammetry and remote sensing > vol 95 (September 2014) . - pp 134 – 145[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014091 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves / Rubén Valbuena in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)PermalinkLe climat change, vite, trop vite ... comment aider les arbres à le suivre ? / Hervé Le Bouler in Forêt entreprise, n° 217 (juillet-août 2014)PermalinkCalibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning / Qing Xu in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)PermalinkChampagne-Ardenne : valorisation d'une filière feuillue d'excellence / Anonyme in Forêts de France, n° 575 (jullet-août 2014)PermalinkEstimation harmonisée du volume de tige à différentes découpes / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkEstimer le volume total d’un arbre, quelles que soient l’essence, la taille, la sylviculture, la station / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkAssessing tree dendrometrics in young regenerating plantations using terrestrial laser scanning / Ying Li in Annals of Forest Science, vol 71 n° 4 (June 2014)PermalinkCarbon storage in biomass, litter, and soil of different plantations in a semiarid temperate region of northwest China / Yang Gao in Annals of Forest Science, vol 71 n° 4 (June 2014)PermalinkUrban-Tree-Attribute update using multisource single-tree inventory / Ninni Saarinen in Forests, vol 5 n° 5 (May 2014)PermalinkL'inventaire des ressources forestières en France : un nouveau regard sur des nouvelles forêts / Jean-Christophe Hervé in Revue forestière française, vol 66 n° 3 (mai - juin 2014)Permalink