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Assessing post-fire regeneration in a Mediterranean mixed forest using lidar data and artificial neural networks / Haifa Debouk in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)
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Titre : Assessing post-fire regeneration in a Mediterranean mixed forest using lidar data and artificial neural networks Type de document : Article/Communication Auteurs : Haifa Debouk, Auteur ; Ramon Riera-Tatché, Auteur ; Cristina Vega-Garcia, Auteur Année de publication : 2013 Article en page(s) : pp 1121 - 1130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Catalogne (Espagne)
[Termes IGN] classification par réseau neuronal
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt méditerranéenne
[Termes IGN] hauteur de la végétation
[Termes IGN] hauteur des arbres
[Termes IGN] impact sur l'environnement
[Termes IGN] incendie de forêtRésumé : (Auteur) Post-wildfire management practices can greatly influence vegetation condition and dynamics, and are crucial in Mediterranean erosion-prone poor soil sites. Acquiring accurate ground inventory data is time-consuming, expensive and limited to small areas; but lidar data can be used to assess the impact of fires, and also to determine the convenient silvicultural measurements which should be carried out for site restoration. The aim of this paper was to assess the post-fire regeneration status of the vegetation in Sant Llorenç del Munt massif after a wildfire in summer 2003 by modeling the relationship between lidar height bins and canopy height model (CHM) with field data. Artificial Neural Network (ANN) prediction models provided estimations of vegetation fraction cover, average height (HM) over 1.30 m and number of stems over 1.30 m, with Pearson r values between 0.18 and 0.83. Classification models built with the same variables allowed separating two ground-based regeneration classes (good and scarce regeneration) with an approximate accuracy of 83 to 76 percent (model building and validation data, respectively). Numéro de notice : A2013-690 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.12.1121 En ligne : https://doi.org/10.14358/PERS.79.12.1121 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32826
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 12 (December 2013) . - pp 1121 - 1130[article]Contribution au prodrome des végétations de France : les Cytisetea scopario – striati Rivas-Mart. 1975 / Bruno de Foucault in Journal de botanique, n° 64 (décembre 2013)
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Titre : Contribution au prodrome des végétations de France : les Cytisetea scopario – striati Rivas-Mart. 1975 Type de document : Article/Communication Auteurs : Bruno de Foucault, Auteur ; Jean-Jacques Lazare, Auteur ; Frédéric Bioret, Auteur Année de publication : 2013 Article en page(s) : pp 69 - 90 Note générale : bibliographie, fiches Langues : Français (fre) Descripteur : [Vedettes matières IGN] Ecologie forestière
[Termes IGN] Cytisus scoparius
[Termes IGN] phytosociologie
[Termes IGN] unité phytosociologiqueRésumé : (auteur) Dans le cadre du prodrome des végétations de France, sous l’égide de la Société française de phytosociologie, les auteurs présentent ici les Cytisetea scopario – striati : déclinaison au niveau européen, puis présentation de fiches par association connue au niveau français. Numéro de notice : A2013-826 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : sans En ligne : https://www.persee.fr/doc/jobot_1280-8202_2013_num_64_1_1193 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82879
in Journal de botanique > n° 64 (décembre 2013) . - pp 69 - 90[article]Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval / Jochem Verrlest in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)
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Titre : Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval Type de document : Article/Communication Auteurs : Jochem Verrlest, Auteur ; Juan Pablo Rivera, Auteur ; José Moreno, Auteur ; Gustavo Camps-Valls, Auteur Année de publication : 2013 Article en page(s) : pp 157 - 167 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme de Gauss
[Termes IGN] apprentissage automatique
[Termes IGN] chlorophylle
[Termes IGN] image Sentinel-MSI
[Termes IGN] incertitude des données
[Termes IGN] indice foliaire
[Termes IGN] Leaf Area Index
[Termes IGN] régression
[Termes IGN] surveillance de la végétation
[Termes IGN] teneur en chlorophylle des feuilles
[Termes IGN] variable biophysique (végétation)Résumé : (Auteur) ESA’s upcoming Sentinel-2 (S2) Multispectral Instrument (MSI) foresees to provide continuity to land monitoring services by relying on optical payload with visible, near infrared and shortwave infrared sensors with high spectral, spatial and temporal resolution. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods, which ideally should provide uncertainty intervals for the predictions. Statistical learning regression algorithms are powerful candidats for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. In this paper, we focus on a new emerging technique in the field of Bayesian nonparametric modeling. We exploit Gaussian process regression (GPR) for retrieval, which is an accurate method that also provides uncertainty intervals along with the mean estimates. This distinct feature is not shared by other machine learning approaches. In view of implementing the regressor into operational monitoring applications, here the portability of locally trained GPR models was evaluated. Experimental data came from the ESA-led field campaign SPARC (Barrax, Spain). For various simulated S2 configurations (S2-10m, S2-20m and S2-60m) two important biophysical parameters were estimated: leaf chlorophyll content (LCC) and leaf area index (LAI). Local evaluation of an extended training dataset with more variation over bare soil sites led to improved LCC and LAI mapping with reduced uncertainties. GPR reached the 10% precision required by end users, with for LCC a NRMSE of 3.5–9.2% (r2: 0.95–0.99) and for LAI a NRMSE of 6.5–7.3% (r2: 0.95–0.96). The developed GPR models were subsequently applied to simulated Sentinel images over various sites. The associated uncertainty maps proved to be a good indicator for evaluating the robustness of the retrieval performance. The generally low uncertainty intervals over vegetated surfaces suggest that the locally trained GPR models are portable to other sites and conditions. Numéro de notice : A2013-708 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.09.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.09.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32844
in ISPRS Journal of photogrammetry and remote sensing > vol 86 (December 2013) . - pp 157 - 167[article]A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery / Jonathan Lisein in Forests, vol 4 n° 4 (december 2013)
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Titre : A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery Type de document : Article/Communication Auteurs : Jonathan Lisein , Auteur ; Marc Pierrot-Deseilligny
, Auteur ; Stéphanie Bonnet, Auteur ; Philippe Lejeune, Auteur
Année de publication : 2013 Article en page(s) : pp 922 - 944 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] drone
[Termes IGN] feuillu
[Termes IGN] houppier
[Termes IGN] image aérienne
[Termes IGN] MicMac
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] régression linéaire
[Termes IGN] structure-from-motionRésumé : (auteur) The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order to model the forest canopy surface from low-altitude aerial images. An original workflow, using the open source and free photogrammetric toolbox, MICMAC (acronym for Multi Image Matches for Auto Correlation Methods), was set up to create a digital canopy surface model of deciduous stands. In combination with a co-registered light detection and ranging (LiDAR) digital terrain model, the elevation of vegetation was determined, and the resulting hybrid photo/LiDAR canopy height model was compared to data from a LiDAR canopy height model and from forest inventory data. Linear regressions predicting dominant height and individual height from plot metrics and crown metrics showed that the photogrammetric canopy height model was of good quality for deciduous stands. Although photogrammetric reconstruction significantly smooths the canopy surface, the use of this workflow has the potential to take full advantage of the flexible revisit period of drones in order to refresh the LiDAR canopy height model and to collect dense multitemporal canopy height series. Numéro de notice : A2013-819 Affiliation des auteurs : ENSG+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f4040922 Date de publication en ligne : 06/11/2013 En ligne : http://dx.doi.org/10.3390/f4040922 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80977
in Forests > vol 4 n° 4 (december 2013) . - pp 922 - 944[article]Steering global mapping project and developing global map version 2 / Taro Ubukawa in Bulletin of the GeoSpatial Information authority of Japan, vol 61 (December 2013)
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Titre : Steering global mapping project and developing global map version 2 Type de document : Article/Communication Auteurs : Taro Ubukawa, Auteur ; Akifumi Ando, Auteur ; Toshinobu Saito, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1 - 7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] arbre (flore)
[Termes IGN] carte du monde (ONU)
[Termes IGN] occupation du sol
[Termes IGN] végétationRésumé : (Auteur) The Geospatial Information Authority of Japan is conducting a Global Mapping Project, and is serving as the Secretariat of the International Steering Committee for Global Mapping. After the release of Version 1 of the Global Map in 2008, we have developed Version 2 of the Global Map, and more and more countries and regions have released their Global Map data sets. In addition, Global Land Cover and Vegetation (Percent Tree Cover) layers also became available in finer resolution as compared with the previous version. ISCGM has started working closely with the United Nations Committee of Experts on Global Geospatial Information Management trying to reflect international needs for developing reliable geospatial information. Numéro de notice : A2013-766 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : sans En ligne : https://www.gsi.go.jp/common/000085478.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32902
in Bulletin of the GeoSpatial Information authority of Japan > vol 61 (December 2013) . - pp 1 - 7[article]Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas / Esteban Aguilera in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)
PermalinkAdaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain / Almasi S. Maguya in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
PermalinkCoastal wetland mapping combining multi-date SAR and LiDAR / Thomas Richard Allen in Geocarto international, vol 28 n° 7-8 (November - December 2013)
PermalinkMarkov land cover change modeling using pairs of time-series satellite images / Priyakant Sinha in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)
PermalinkSingle tree biomass modelling using airborne laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
PermalinkAssessing the effect of snow/water obstructions on the measurement of tree seedlings in a large-scale temperate forest inventory / C. W. Woodall in Forestry, an international journal of forest research, vol 86 n° 4 (October 2013)
PermalinkDesign and function of the European forest fire information system / Daniel McInerney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 10 (October 2013)
PermalinkImprovement and application of the conifer forest multiangular hybrid GORT model MGeoSAIL / Qiang Wang in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)
PermalinkThe biometrical influences of stump stocking on sycomore (Acer pseudoplatanus L.) coppice trees: a case study / Valeriu-Norocel Nicolescu in Revista Padurilor, vol 128 n° 3 (3/2013)
PermalinkL'accroissement de la ressource forestière française : 810 millions de m3 supplémentaires en 30 ans / Antoine Colin in Forêt entreprise, n° 212 (septembre - octobre 2013)
PermalinkAssessing the relationship between ground measurements and object-based image analysis of land cover classes in Pinyon and Juniper Woodlands / April Hulet in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
PermalinkBackscattering of individual LiDAR pulses from forest canopies explained by photogrammetrically derived vegetation structure / Ilkka Korpela in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
PermalinkPerformance of dense digital surface models based on image matching in the estimation of plot-level forest variables / Kimmo Nurminen in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
PermalinkPrélèvements et production de bois / Nathalie Derrière in Forêt entreprise, n° 212 (septembre - octobre 2013)
PermalinkRéflexions sur l'accessibilité aux châtaigniers et ses conséquences dans la haute vallée de la Tinée (parc national du Mercantour) / Mohamed Ben Jeddou in Géomatique expert, n° 94 (01/09/2013)
PermalinkDes ressources exploitables ? / Nathalie Derrière in Forêt entreprise, n° 212 (septembre - octobre 2013)
Permalink3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar / Fumiki Hosoi in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
PermalinkAnalysis of full-waveform LiDAR data for classification of an orange orchard scene / Karolina D. Fieber in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
PermalinkGround-based array for tomographic imaging of the tropical forest in P-band / Ho Tong Minh Dinh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)
PermalinkRegistration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information / Na Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)
PermalinkRetrieval of tropical forest biomass information from ALOS PALSAR data / Mahmudur Rahman in Geocarto international, vol 28 n° 5-6 (August - October 2013)
PermalinkLe concept de forêt ancienne s’applique-t-il aux peupleraies cultivées ? Test de pertinence avec la flore des vallées de Champagne / Richard Chevalier in Revue forestière française, vol 65 n° 4 (juillet - août 2013)
PermalinkCartographie et suivi de la densité des arbres de l'arganeraie (Sud-Ouest du Maroc) à partir d'images de télédétection à haute résolution spatiale / Mbark Aouragh in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)
PermalinkLes coefficients d’expansion pour déduire différents volumes de branches à partir de volumes de tige / Fleur Longuetaud in Rendez-vous techniques, n° 39-40 (Hiver-printemps 2013)
PermalinkEffects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm / Jaehoon Jung in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkLa force de la mise en commun des données des partenaires : inventaire national, gestion et recherche / Christine Deleuze in Rendez-vous techniques, n° 39-40 (Hiver-printemps 2013)
PermalinkForest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkFull polarimetric bistatic radar imaging experiments on sets of dielectric cylinders above a conductive circular plate / Sami Bellez in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 2 (July 2013)
PermalinkPermalinkLe projet EMERGE pour des tarifs cohérents de volumes et biomasses des essences forestières françaises métropolitaines / Christine Deleuze in Rendez-vous techniques, n° 39-40 (Hiver-printemps 2013)
PermalinkUtility of the wavelet transform for LAI estimation using hyperspectral data / Asim Banskota in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)
PermalinkDerivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality / Magnus Bremer in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
PermalinkForest biomass estimation using texture measurements of high-resolution dual-polarization C-band SAR data / Latifur Rahman Sarker in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 1 (June 2013)
PermalinkTexture augmented detection of macrophyte species using decision trees / Cameron Proctor in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
PermalinkWhen tree rings behave like foam : moderate historical decrease in the mean ring density of common beech paralleling a strong historical growth increase / Jean-Daniel Bontemps in Annals of Forest Science, Vol 70 n° 4 (June 2013)
PermalinkCommercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa / Kabir Yunus Peerbhay in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
PermalinkInfluence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)
PermalinkPermalinkRegion-based automatic building and forest change detection on Cartosat-1 stereo imagery / Jing Tian in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
Permalinkn° 31 - 01/05/2013 - Un siècle d’expansion des forêts françaises (Bulletin de L'if) / Nathalie Derrière
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PermalinkSingle tree detection from airborne laser scanning data using a marked point process based method / Junjie Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W1 (May 2013)
PermalinkAssessing the impact of hydrocarbon leakages on vegetation using reflectance spectroscopy / I.D. Sanches in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
PermalinkLa gestion territoriale des ressources énergétiques forestières : jusqu'où le ménagement d'hier peut-il s'appliquer aujourd'hui ? / Emile Evrard in Espace géographique, vol 42 n° 2 (avril - juin 2013)
PermalinkGrowth-competition-based stem diameter and volume modeling for tree-level forest inventory using airborne LiDAR data / Chien-Shun Lo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)
PermalinkSeeing the wood for the trees: Opentreemap is helping individuals, organisations and governments to collaborate in mapping, tending and preserving 'urban forest' / Deborah Boyer in GEO: Geoconnexion international, vol 12 n° 4 (april 2013)
PermalinkSoil water balance performs better than climatic water variables in tree species distribution modelling / Christian Piedallu in Global ecology and biogeography, vol 22 n° 4 (April 2013)
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PermalinkSTARS : A new method for multitemporal remote sensing / Marcio Pupin Mello in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)
PermalinkStem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
PermalinkThe influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
PermalinkAnalysis of desertification in the Upper East Region (UER) of Ghana using remote sensing, field study, and local knowledge / Alex B. Owusu in Cartographica, vol 48 n° 1 (March 2013)
PermalinkComparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
PermalinkThe influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
PermalinkFrom LiDAR data to forest representation on multi-scale / Freiderike Schwarzbach in Cartographic journal (the), vol 50 n° 1 (February 2013)
PermalinkRadarsat-2: A powerful solution for global forest monitoring needs / M.W. Van Der Kooij in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)
PermalinkRetrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning / G. Zheng in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)
PermalinkLe statut social d’un arbre influence-t-il sa réponse au climat ? Étude dendroécologique sur le Sapin, l’Epicéa, le Pin sylvestre, le Hêtre et le Chêne sessile / Pierre Mérian in Revue forestière française, vol 65 n°1 (janvier - février 2013)
PermalinkPermalinkLes approches intégratives en tant qu‘opportunités de conservation de la biodiversité forestière / Daniel Kraus (2013)
PermalinkL'autécologie des essences forestières et son intégration dans les outils d'aide à la décision : synthèse et évaluation / Alice Michelot (2013)
PermalinkAxe A - Connaissance de la flore et des végétations. Bilan d'exécution 2012. Arrêté Région 12 006968 01-CBN001 du 21 mai 2012 / Alexis Mikolajczak (2013)
PermalinkComputer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey / L. Wang in Geoinformatica, vol 17 n° 1 (January 2013)
PermalinkPermalinkContribution of texture and red-edge band for vegetated areas detection and identification / Arnaud Le Bris (2013)
PermalinkDétection et identification de zones de végétation arborée et viticole : utilisation d’images satellite RapidEye et de données BDOrtho / Arnaud Le Bris (2013)
PermalinkPermalinkPermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2013)
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PermalinkPermalinkForêts : un patrimoine mondial menacé / S. Petit in Carto, le monde en cartes, n° 15 (janvier - février 2013)
PermalinkIndividual tree biomass estimation using terrestrial laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)
PermalinkMaterial reflectance retrieval in urban tree shadows with physics-based empirical atmospheric correction / Karine R.M. Adeline (2013)
PermalinkPermalinkPermalinkPermalinkPredicting surface fuel models and fuel metrics using Lidar and CIR imagery in a dense, mountainous forest / Marek Jakubowksi in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)
PermalinkSingle strata canopy cover estimation using airborne laser scanning data / António Ferraz (juillet 2013)
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PermalinkSuper-resolution image analysis as a means of monitoring bracken (Pteridium aquilinum) distributions / Jennie Holland in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)
PermalinkTree species discrimination in tropical forests using airborne imaging spectroscopy / Jean-Baptiste Féret in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
PermalinkUnderstorey plant species show long‐range spatial patterns in forest patches according to distance‐to‐edge / Vincent Pellissier in Journal of vegetation science, vol 24 n° 1 (January 2013)
PermalinkPermalinkApports des données ALOS PALSAR polarimétriques à la détection des zones humides littorales (Sassandra, Côte d'Ivoire) / Kouakou Hervé Kouassi in Photo interprétation, European journal of applied remote sensing, vol 48 n° 4 (décembre 2012)
PermalinkAutomated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation / L. Jing in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)
PermalinkCartographie des continuités écologiques : quelles données pour quelles échelles territoriales ? Application à la sous-trame forestière / Laurence Hubert-Moy in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)
PermalinkContribution au prodrome des végétations de France : les Betulo carpaticae - Alnetea viridis Rejmanek in Huml, Leps, Prach & Rejmanek 1979 / Bruno de Foucault in Journal de botanique, n° 60 (décembre 2012)
PermalinkPhytosociological characterization of the Juniperus phoenicea L. subsp. turbinata (Guss.) Nyman formations in the Italo-Tyrrhenian Province (Mediterranean Region) / Lorenzo Gianguzzi in Plant sociology, vol 49 n° 2 (December 2012)
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Permalinkn° 30 - 01/12/2012 - Quelles sont les ressources exploitables ? Analyse spatiale et temporelle (Bulletin de L'if) / Antoine Colin
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PermalinkLa télédétection pour la cartographie de la trame verte en milieu agricole : Évaluation des potentialités d’images multi-angulaires à très haute résolution spatiale / David Sheeren in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)
PermalinkTélédétection de la trame verte arborée en haute résolution par morphologie mathématique / E. Maire in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)
PermalinkThe spatial prediction of tree species diversity in savanna woodlands of Southern Africa / G. Mutowo in Geocarto international, vol 27 n° 8 (December 2012)
PermalinkMapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery / J. Dong in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)
PermalinkThe electronically steerable flash Lidar : A full waveform scanning system for topographic and ecosystem structure applications / H. Duong in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 2 (November 2012)
PermalinkThe SETHI remote sensing airborne platform and the related science activities / Pascal Fernandez in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)
PermalinkActive learning methods for biophysical parameter estimation / Edoardo Pasolli in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 2 (October 2012)
PermalinkLandscape controls over major nutrients and primary productivity of Arctic lakes / P. Pathak in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)
PermalinkLarge-scale dynamics of a heterogeneous forest resource are driven jointly by geographically varying growth conditions, tree species composition and stand structure / Holger Wernsdörfer in Annals of Forest Science, Vol 69 n° 7 (October 2012)
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