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Evaluating EO1-Hyperion capability for mapping conifer and broadleaved forests / Nicola Puletti in European journal of remote sensing, vol 49 n° 1 (2016)  

Public [article]  inEuropean journal of remote sensing > vol 49 n° 1 (2016) . - pp 157 - 169 Titre : Evaluating EO1-Hyperion capability for mapping conifer and broadleaved forests Type de document : Article/Communication Auteurs : Nicola Puletti, Auteur ; Nicola Camarretta, Auteur ; Piermaria Corona, Auteur Année de publication : 2016 Article en page(s) : pp 157 - 169 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] feuillu [Termes IGN] forêt [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] matrice de confusion [Termes IGN] Pinophyta [Termes IGN] régression multivariée par spline adaptative Résumé : (auteur) The objective of the present study is the comparison of the combined use of Earth Observation-1 (EO-1) Hyperion Hyperspectral images with the Random Forest (RF), Support Vector Machines (SVM) and Multivariate Adaptive Regression Splines (MARS) classifiers for discriminating forest cover groups, namely broadleaved and coniferous forests. Statistics derived from classification confusion matrix were used to assess the accuracy of the derived thematic maps. We demonstrated that Hyperion data can be effectively used to obtain rapid and accurate large-scale mapping of main forest types (conifers-broadleaved). We also verified higher capability of Hyperion imagery with respect to Landsat data to such an end. Results demonstrate the ability of the three tested classification methods, with small improvements given by SVM in terms of overall accuracy and kappa statistic. Numéro de notice : A2016-832 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.5721/EuJRS20164909 En ligne : http://dx.doi.org/10.5721/EuJRS20164909 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82716 [article]

Les forêts, une affaire de professionnels / Michel Padel in Géomètre, n° 2140 (octobre 2016)

Public [article]  inGéomètre > n° 2140 (octobre 2016) . - pp 14 - 16 Titre : Les forêts, une affaire de professionnels Type de document : Article/Communication Auteurs : Michel Padel, Auteur Année de publication : 2016 Article en page(s) : pp 14 - 16 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Topographie [Termes IGN] analyse comparative [Termes IGN] bornage [Termes IGN] cadastre [Termes IGN] erreur de positionnement [Termes IGN] forêt [Termes IGN] parcelle cadastrale [Termes IGN] qualité des données [Termes IGN] récepteur GPS Résumé : (auteur) Une définition du GPS ? "Grande Prudence Souhaitée", particulièrement en milieu forestier. Un géomètre-expert revient sur quelques fondamentaux et sur l'inadaptation des appareils grand public. Exercice de pédagogie ... Numéro de notice : A2016-730 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82248 [article]

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Spectranomics: Emerging science and conservation opportunities at the interface of biodiversity and remote sensing / Gregory P. Asner in Global ecology and conservation, vol 8 (October 2016)  

Public [article]  inGlobal ecology and conservation > vol 8 (October 2016) . - pp 212 -219 Titre : Spectranomics: Emerging science and conservation opportunities at the interface of biodiversity and remote sensing Type de document : Article/Communication Auteurs : Gregory P. Asner, Auteur ; Roberta E. Martin, Auteur Année de publication : 2016 Article en page(s) : pp 212 -219 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biogéographie [Termes IGN] canopée [Termes IGN] couvert forestier [Termes IGN] couvert végétal [Termes IGN] politique de conservation (biodiversité) [Termes IGN] réflectance végétale [Termes IGN] spectroscopie Résumé : (auteur) With the goal of advancing remote sensing in biodiversity science, Spectranomics represents an emerging approach, and a suite of quantitative methods, intended to link plant canopy phylogeny and functional traits to their spectral-optical properties. The current Spectranomics database contains about one half of known tropical forest canopy tree species worldwide, and has become a forecasting asset for predicting aspects of plant functional and biological diversity to be remotely mapped and monitored with current and future spectral remote sensing technology. To mark ten years of Spectranomics, we review recent scientific outcomes to further stimulate engagement in the use of spectral remote sensing for biodiversity and functional ecology research. In doing so, we highlight three major emerging opportunities for the science and conservation communities based on Spectranomics. Numéro de notice : A2016-715 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article DOI : 10.1016/j.gecco.2016.09.010 En ligne : http://dx.doi.org/10.1016/j.gecco.2016.09.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82108 [article]

Lidar detection of individual tree size in tropical forests / António Ferraz in Remote sensing of environment, vol 183 (15 September 2016)  

Public [article]  inRemote sensing of environment > vol 183 (15 September 2016) . - pp 318 - 333 Titre : Lidar detection of individual tree size in tropical forests Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Sassan Saatchi, Auteur ; Clément Mallet , Auteur ; Victoria Meyer, Auteur Année de publication : 2016 Projets : 1-Pas de projet / Article en page(s) : pp 318 - 333 Note générale : Bibliographie António Ferraz's research was supported by an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory, administrated by Oak Ridge Associated Universities under contract with NASA(grant number NNH15CO48B). Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] allométrie [Termes IGN] arbre (flore) [Termes IGN] biomasse aérienne [Termes IGN] biomasse forestière [Termes IGN] canopée [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] forêt tropicale [Termes IGN] hauteur des arbres [Termes IGN] houppier [Termes IGN] modèle numérique de surface de la canopée [Termes IGN] Panama [Termes IGN] semis de points [Termes IGN] télédétection aérienne Résumé : (Auteur) Characterization of tropical forest trees has been limited to field-based techniques focused on measurement of diameter of the cylindrical part of the bole, with large uncertainty in measuring large trees with irregular shapes, and other size attributes such as total tree height and the crown size. Here, we introduce a methodology to decompose lidar point cloud data into 3D clusters corresponding to individual tree crowns (ITC) that enables the estimation of many biophysical variables of tropical forests such as tree height, crown area, crown volume, and tree number density. The ITC-based approach was tested using airborne high-resolution lidar data collected over the 50-ha Center for Tropical Forest Science (CTFS) plot in the Barro Colorado Island, Panama. The lack of tree height and crown size measurements in the field prohibits the direct validation of the ITC metrics. We assess the reliability of our method by comparing the aboveground biomass (AGB) estimated using ground and lidar individual tree measurements at multiple spatial scales, namely 1ha, 2.25 ha, 4ha, and 6.25 ha. We examined four different lidar-derived AGB models, with three based on individual tree height, crown volume, and crown area, and one with mean top canopy height (TCH) calculated at the plot level using the lidar canopy height model. Results show that the predictive power of all models based on ITC size and TCH increases with decreasing spatial resolution from16.9% at 1ha for the worst model to 5.0% at 6.25ha for the best model. The TCH-based model performed slightly better than ITC-based models except at higher spatial scales (~4 ha) and when errors due to edge effects associated with tree crowns were reduced. Unlike the TCH models that change regionally depending on forest type and structure allometry, the ITC-based models are derived as a function of individual tree allometry and can be extended globally to all tropical forests. The method for lidar detection of individual crown size overcome some limitations of ground-based inventories such as 1) it is able to access crowns of large trees and 2) it enables the assessment of directional changes in tree density, canopy architecture and forest dynamics over large and inaccessible areas to support robust tropical ecological studies. Numéro de notice : A2016--103 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.05.028 Date de publication en ligne : 21/06/2016 En ligne : http://doi.org/10.1016/j.rse.2016.05.028 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84669 [article]

An individual tree-based automated registration of aerial images to LiDAR Data in a forested area / Jun-Hak Lee in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 9 (September 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 9 (September 2016) . - pp 699 - 710 Titre : An individual tree-based automated registration of aerial images to LiDAR Data in a forested area Type de document : Article/Communication Auteurs : Jun-Hak Lee, Auteur ; Gregory S. Biging, Auteur Année de publication : 2016 Article en page(s) : pp 699 - 710 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] arbre (flore) [Termes IGN] Californie (Etats-Unis) [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] écosystème forestier [Termes IGN] forêt [Termes IGN] image aérienne [Termes IGN] point d'appui [Termes IGN] superposition d'images Résumé : (Auteur) In this paper, we demonstrate an approach to align aerial images to airborne lidar data by using common object features (tree tops) from both data sets under the condition that conventional correlation-based approaches are challenging due to the fact that the spatial pattern of pixel gray-scale values in aerial images hardly exist in lidar data. We extracted tree tops by using an image processing technique called extended-maxima transformation from both aerial images and lidar data. Our approach was tested at the Angelo Coast Range Reserve on the South Fork Eel River forests in Mendocino County, California. Although the aerial images were acquired simultaneously with the lidar data, the images had only approximate exposure point locations and average flight elevation information, which mimicked the condition of limited information availability about the aerial images. Our results showed that this approach enabled us to align aerial images to airborne lidar data at the single-tree level with reasonable accuracy. With a local transformation model (piecewise linear model), the RMSE and the median absolute deviation (MAD) of the registration were 9.2 pixels (2.3 meters) and 6.8 pixels (1.41 meters), respectively. We expect our approach to be applicable to fine scale change detection for forest ecosystems and may serve to extract detailed forest biophysical parameters. Numéro de notice : A2016-740 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.9.699 En ligne : https://doi.org/10.14358/PERS.82.9.699 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82275 [article]

CHP toolkit : case study of LAIe sensitivity to discontinuity of canopy cover in fruit plantations / Karolina D. Fieber in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)  

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Entre logique de production et de préservation : l’évolution de l’information environnementale dans les domaines de l’eau et de la forêt / Gabrielle Bouleau in VertigO, vol 16 n° 2 (Septembre 2016)  

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Evaluation par imagerie satellitaire de la dynamique spatiale du parc marin des mangroves de la république Démocratique du Congo entre 2006 et 2015 / B.M. Kalambay in Afrique Science, vol 12 n° 5 (septembre - octobre 2016)

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Floristic composition and across-track reflectance gradient in Landsat images over Amazonian forests / Javier Muro in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

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International benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning / Yunsheng Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)    

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Tracking the seasonal dynamics of boreal forest photosynthesis using EO-1 hyperion reflectance : sensitivity to structural and illumination effects / Rocío Hernández-Clemente in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)  

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Trajectoire sociopolitique d’un indicateur de biodiversité forestière : le cas du bois mort / Philippe Deuffic in VertigO, vol 16 n° 2 (Septembre 2016)  

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Radiometric correction of airborne radar images over forested terrain with topography / Marc Simard in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)  

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Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning / Jari Vauhkonen in Forestry, an international journal of forest research, vol 89 n° 4 (August 2016)  

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Long-term vegetation dynamics and land-use history: Providing a baseline for conservation strategies in protected Alnus glutinosa swamp woodlands / Brith Natlandsmyr in Forest ecology and management, vol 372 (15 July 2016)    

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Generalized terrain topography in radar scattering models / Mariko S. Burgin in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)  

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A hierarchical approach to three-dimensional segmentation of LiDAR data at single-tree level in a multilayered forest / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)  

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Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas / Xiaoqian Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 117 (July 2016)  

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Lidar imagery and InSAR for digital forestry / Benoît Saint-Onge in GIM international, vol 30 n° 7 (July 2016)

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A novel computer-aided tree species identification method based on burst wind segmentation of 3D bark textures / Alice Ahlem Othmani in Machine Vision and Applications, vol 27 n° 5 (July 2016)  

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Optimizing the spatial resolution of WorldView-2 imagery for discriminating forest vegetation at subspecies level in KwaZulu-Natal, South Africa / Romano Lottering in Geocarto international, vol 31 n° 7 - 8 (July - August 2016)  

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Wildlife management using aiborne Lidar / Joan Hagar in GIM international, vol 30 n° 7 (July 2016)

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Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach / Marco Andrew Njana in Annals of Forest Science, vol 73 n° 2 (June 2016)  

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Estimations dendrométriques pour l’aménagement forestier à l’aide de LiDAR aéroporté : premier démonstrateur en forêts littorales dunaires / Alain Munoz in Rendez-vous techniques, n° 50 (Hiver 2016) 

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Expérience pratique de la réalisation du projet démonstrateur « LiDAR forestier » / Didier Canteloup in Rendez-vous techniques, n° 50 (Hiver 2016) 

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Forest vegetation in western Romania in relation to climate variables: Does community composition reflect modelled tree species distribution? / S. Heinrichs in Annals of forest research, vol 59 n° 2 (July - December 2016)  

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Linked Forests: Semantic similarity of geographical concepts “forest” / Otakar Cerba in Open geosciences, vol 8 n° 1 (January - July 2016)  

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Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data / Elisa Schäfer in Ecological indicators, vol 64 (May 2016)  

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Multisensor and multispectral Lidar characterization and classification of a forest environment / Christopher Hopkinson in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])  

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Terrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  

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Trees do grow on money / Richard Tipper in GEO: Geoconnexion international, vol 15 n° 5 (May 2016)

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Forest above ground biomass inversion by fusing GLAS with optical remote sensing data / Xiaohuan Xi in ISPRS International journal of geo-information, vol 5 n° 4 (April 2016)  

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Investigating the possible impact of atmospheric CO2 increase on Araucaria araucana wood density / Paulina E. Pinto in European Journal of Forest Research, vol 135 n° 2 (April 2016)  

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A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data / Gherardo Chirici in Remote sensing of environment, vol 176 (April 2016)  

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Comparison of three Landsat TM compositing methods: A case study using modeled tree canopy cover / Bonnie Ruefenacht in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)  

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Extreme events and climate change: the post-disaster dynamics of forest fires and forest storms in Sweden / Rolf Lidskog in Scandinavian journal of forest research, vol 31 n° 2 (March 2016)  

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Forest tree genomics: 10 achievements from the past 10 years and future prospects / Christophe Plomion in Annals of Forest Science, vol 73 n° 1 (March 2016)  

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A GEOBIA framework for the implementation of national and international forest definitions using very high spatial resolution optical satellite data / M. Tompoulidou in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)  

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Markov random field-based method for super-resolution mapping of forest encroachment from remotely sensed ASTER image / L. K. Tiwari in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)  

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Possibilities of land use change analysis in a mountainous rural area: a methodological approach / Szilárd Szabó in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)  

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n° 227 - mars - mai 2016 - Thèses en géomatique 2013-2015 (Bulletin de Cartes & Géomatique) / Anne Ruas

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Broad scale forest cover reconstruction from historical topographic maps / Dominik Kaim in Applied Geography, vol 67 (February 2016)  

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Effects of landscape design of forest reserves on Saproxylic beetle diversity / Christophe Bouget in Conservation biology, vol 30 n° 1 (February 2016)  

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Improved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial Lidar point cloud data of forest canopies / Lixia Ma in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)  

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Is waveform worth it? A comparison of LiDAR approaches for vegetation and landscape characterization / Karen Anderson in Remote sensing in ecology and conservation, vol 2 n° 1 (February 2016)  

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Mangrove forest characterization in Southeast Côte d’Ivoire / Isimemen Osemwegie in Open journal of forestry, vol 6 n° 3 (February 2016)  

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Use of GIS-supported comparative cartography and historical maps in long-term forest cover changes analysis in the Holy cross mountains (Poland) / Tadeusz Ciupa in Baltic forestry, vol 22 n° 1 ([01/02/2016])  

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Validation of medium-scale historical maps of southern Latvia for evaluation of impact of continuous forest cover on the present-day mean stand area and tree species richness / Anda Fescenko in Baltic forestry, vol 22 n° 1 ([01/02/2016])  

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Above-ground and below-ground competition between the willow Salix caprea and its understorey / Ondřej Mudrák in Journal of vegetation science, vol 27 n° 1 (January 2016)  

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Application des techniques de photogrammétrie par drone à la caractérisation des ressources forestières / Jonathan Lisein (2016)  

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Apport de la télédétection radar satellitaire pour la cartographie de la forêt des Landes / Yousra Hamrouni (2016)

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Assessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)  

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Détection à haute résolution spatiale de la desserte forestière en milieu montagneux par lidar aéroporté / Clément Mallet in Forêt entreprise, n° 226 (janvier/février 2016)

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Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data / Hooman Latifi in Forestry, an international journal of forest research, vol 89 n° 1 (January 2016)  

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Estimation of forest biomass using multivariate relevance vector regression / Alireza Sharifi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)  

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La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)    

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A framework towards a composite indicator for urban ecosystem services / Mahbubul Alam in Ecological indicators, vol 60 (January 2016)  

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Les indicateurs de gestion durable des forêts françaises métropolitaines, édition 2015, Tome 1. Résultats / Institut national de l'information géographique et forestière (2012 -) (2016)    

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Les indicateurs de gestion durable des forêts françaises métropolitaines, édition 2015, Tome 2. Notice méthodologique : Caractéristiques techniques des données, méthode de calcul et pistes d'amélioration / Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt (France) (2016) 

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Introduced tree species in European forests: opportunities and challenges / Frank Krumm (2016)    

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Making spatial decisions using GIS and lidar / Kathryn Keranen (2016)

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Modélisation de la structure en diamètre des reboisements et des peuplements naturels de Cèdre de l’Atlas (Cedrus atlantica Manetti) du Djurdjura (Algérie) / Khellaf Rabhi in Revue forestière française, vol 68 n° 1 (janvier 2016)  

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Modelling forest canopy trends with on-demand spatial simulation / Gordon M. Green in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)  

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Monetary valuation of forest ecosystem services in China: A literature review and identification of future research needs / D. d' Amato in Ecological economics, vol 121 (January 2016)  

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Pilot project on the system for evaluation of the management of forests (SEMAFOR) / Organisation des Nations Unies pour l'alimentation et l'agriculture (Rome, Italie) (2016)  

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Plant community mycorrhization in temperate forests and grasslands: relations with edaphic properties and plant diversity / Maret Gerz in Journal of vegetation science, vol 27 n° 1 (January 2016)  

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Polémique autour du « carbone neutre » : quels leviers à la disposition des gestionnaires forestiers pour l’atténuation du changement climatique ? / Christine Deleuze in Rendez-vous techniques, n° 48-49 (été automne 2015) 

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Une strate herbacée monopoliste : quelle concurrence vis-à-vis de l’eau pour le peuplement adulte ? / Rémy Gobin in Rendez-vous techniques, n° 48-49 (été automne 2015) 

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Vegetation classification and biogeography of European floodplain forests and alder carrs / Jan Douda in Applied Vegetation Science, vol 19 n° 1 (January 2016)  

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Canopy density model: A new ALS-derived product to generate multilayer crown cover maps / António Ferraz in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)  

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A meta-analysis of functional group responses to forest recovery outside of the tropics / Rebecca Spake in Conservation biology, vol 29 n° 6 (December 2015)  

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A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification / Tao Liu in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)  

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Transpiration of four common understorey plant species according to drought intensity in temperate forests / Rémy Gobin in Annals of Forest Science, vol 72 n° 8 (December 2015)  

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Tree rings reflect growth adjustments and enhanced synchrony among sites in Iberian stone pine (Pinus pinea L.) under climate change / Fabio Natalini in Annals of Forest Science, vol 72 n° 8 (December 2015)  

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11 Events under One Umbrella / Anonyme in GIM international, vol 29 n° 11 (November 2015)

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Forest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)  

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Multitemporal fluctuations in L-Band Backscatter from a japanese forest / Manabu Watanabe in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)  

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Accelerated deforestation driven by large-scale land acquisitions in Cambodia / Kyle Frankel Davis in Nature geoscience, vol 8 n° 10 (October 2015)  

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Discovering untapped value in Europe’s forests / Anonyme in Research*eu - results, n° 46 (October 2015) 

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Forest height estimation by means of Pol-InSAR data inversion : The role of the vertical wavenumber / Florian Kugler in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)  

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High-resolution forest canopy height estimation in an African blue carbon ecosystem / David Lagomasino in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)    

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Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas / Timothy Dube in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)  

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Monitoring European forests: results for science, policy, and society / Pasi Rautio in Annals of Forest Science, vol 72 n° 7 (October 2015)  

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A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture / S. Basu in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)  

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Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data / Lauri Korhonen in Silva fennica, vol 49 n° 5 ([01/10/2015])  

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Variables related to nitrogen deposition improve defoliation models for European forests / Marco Ferretti in Annals of Forest Science, vol 72 n° 7 (October 2015)  

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Les mangroves écosystèmes sous haute protection / Anne Konitz in Rivages, le magazine du conservatoire du littoral, n° 85 (automne 2015) 

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Aboveground-biomass estimation of a complex tropical forest in India using Lidar / Cédric Vega in Remote sensing, vol 7 n° 8 (August 2015)    

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Regional dynamics of terrestrial vegetation productivity and climate feedbacks for territory of Ukraine / Dmytro Movchan in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)  

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An adaptive semisupervised approach to the detection of user-defined recurrent changes in image time series / Daniel Zanotta in IEEE Transactions on geoscience and remote sensing, vol 53 n° 7 (July 2015)  

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Operationalizing measurement of forest degradation: Identification and quantification of charcoal production in tropical dry forests using very high resolution satellite imagery / K. Dons in International journal of applied Earth observation and geoinformation, vol 39 (July 2015)  

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Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data / Laven Naidoo in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 2015)  

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Determination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps / Marta Szostak in Geodesy and cartography, vol 64 n° 1 (June 2015)  

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Landscape monitoring of post-industrial areas using LiDAR and GIS technology / Piotr Wezyk in Geodesy and cartography, vol 64 n° 1 (June 2015)  

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Comparing individual-tree approaches for predicting height growth of underplanted seedlings / John M. Lhotka in Annals of Forest Science, vol 72 n° 4 (June 2015)  

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A fully-automated approach to land cover mapping with airborne LiDAR and high resolution multispectral imagery in a forested suburban landscape / Jason R. Parent in ISPRS Journal of photogrammetry and remote sensing, vol 104 (June 2015)  

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Mangrove tree crown delineation from high-resolution imagery / Muditha K. Heenkenda in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)  

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The spatiotemporal dynamics of forest–heathland communities over 60 years in Fontainebleau, France / Samira Mobaied in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)  

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Le Châtaignier / Anonyme in Forêts de France, n° 583 (mai 2015)

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Circonscrire les gisements de biomasse-énergie pour protéger l'alimentation et la biodiversité : le défi intenable / Yves Poinsot in VertigO, vol 15 n° 1 (mai 2015)  

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