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An internal crown geometric model for conifer species classification with high-density LiDAR data / Aravind Harikumar in IEEE Transactions on geoscience and remote sensing, vol 55 n° 5 (May 2017)
[article]
Titre : An internal crown geometric model for conifer species classification with high-density LiDAR data Type de document : Article/Communication Auteurs : Aravind Harikumar, Auteur ; Francesca Bovolo, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2017 Article en page(s) : pp 2924 - 2940 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse en composantes principales
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] houppier
[Termes IGN] modèle de croissance végétale
[Termes IGN] modèle géométrique
[Termes IGN] Pinophyta
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] TrenteRésumé : (Auteur) The knowledge of the tree species is a crucial information that governs the success of precision forest management practice. High-density small footprint multireturn airborne light detection and ranging (LiDAR) scanning can collect a huge amount of point samples containing structural details of the forest vertical profile, which can reveal important structural information of the forest components. LiDAR data have been successfully used to distinguish between coniferous and deciduous/broadleaved tree species. However, species classification within a class (e.g., the conifer class) using LiDAR data is a challenging problem when considering the tree external crown characteristics only. This paper presents a novel method for conifer species classification based on the use of geometric features describing both the internal and external structures of the crown. The internal crown geometric features (IGFs) are defined based on a novel internal branch structure model, which uses 3-D region growing and principal component analysis to delineate the branch structure of a conifer tree accurately. IGFs are used together with external crown geometric features to perform conifer species classification. Three different support vector machines have been considered for classification performance evaluation. The experimental analysis conducted on high-density LiDAR data acquired over a portion of the Trentino region in Italy proves the effectiveness of the proposed method. Numéro de notice : A2017-471 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2656152 En ligne : http://dx.doi.org/10.1109/TGRS.2017.2656152 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86394
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 5 (May 2017) . - pp 2924 - 2940[article]Assessing future suitability of tree species under climate change by multiple methods: a case study in southern Germany / Helge Walentowski in Annals of forest research, vol 60 n° 1 (January - June 2017)
[article]
Titre : Assessing future suitability of tree species under climate change by multiple methods: a case study in southern Germany Type de document : Article/Communication Auteurs : Helge Walentowski, Auteur ; Wolfgang Falk, Auteur ; Tobias Mette, Auteur ; Jörg Kunz, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 101 - 126 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Acer campestre
[Termes IGN] Allemagne
[Termes IGN] analyse de sensibilité
[Termes IGN] dendrochronologie
[Termes IGN] Fagus sylvatica
[Termes IGN] feuillu
[Termes IGN] Fraxinus excelsior
[Termes IGN] modèle de simulation
[Termes IGN] niche écologique
[Termes IGN] Pinus sylvestris
[Termes IGN] Quercus pedunculata
[Termes IGN] Quercus sessiliflora
[Termes IGN] sécheresse
[Termes IGN] sorbus aria
[Termes IGN] Sorbus torminalis
[Termes IGN] Tilia platyphyllos
[Termes IGN] Ulmus minor
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) We compared results derived using three different approaches to assess the suitability of common tree species on the Franconian Plateau in southern Germany under projected warmer and drier climate conditions in the period 2061-2080. The study area is currently a relatively warm and dry region of Germany. We calculated species distribution models (SDMs) using information on species’ climate envelopes to predict regional species spectra under 63 different climate change scenarios. We complemented this with fine-scale ecological niche analysis using data from 51 vegetation surveys in seven forest reserves in the study area, and tree-ring analysis (TRA) from local populations of five tree species to quantify their sensitivity to climatic extreme years. The SDMs showed that predicted future climate change in the region remains within the climate envelope of certain species (e.g. Quercus petraea), whilst for e.g. Fagus sylvatica, future climate conditions in one third of the scenarios are too warm and dry. This was confirmed by the TRA: sensitivity to drought periods is lower for Q. petraea than for F. sylvatica. The niche analysis shows that the local ecological niches of Quercus robur and Fraxinus excelsior are mainly characterized by soils providing favorable water supply than by climate, and Pinus sylvestris (planted) is strongly influenced by light availability. The best adapted species for a warmer and potentially drier climate in the study region are Acer campestre, Sorbus torminalis, S. aria, Ulmus minor, and Tilia platyphyllos, which should therefore play a more prominent role in future climate-resilient mixed forest ecosystems. Numéro de notice : A2017-611 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2016.789 En ligne : http://doi.org/10.15287/afr.2016.789 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86919
in Annals of forest research > vol 60 n° 1 (January - June 2017) . - pp 101 - 126[article]Individual tree basal area increment models for broadleaved forests in Bhutan / Jigme Tenzin in Forestry, an international journal of forest research, vol 90 n° 3 (May 2017)
[article]
Titre : Individual tree basal area increment models for broadleaved forests in Bhutan Type de document : Article/Communication Auteurs : Jigme Tenzin, Auteur ; Karma Tenzin, Auteur ; Hubert Hasenauer, Auteur Année de publication : 2017 Article en page(s) : pp 367 - 380 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] analyse en composantes principales
[Termes IGN] Bhoutan
[Termes IGN] feuillu
[Termes IGN] gestion forestière durable
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modèle de croissance végétale
[Termes IGN] surface terrièreRésumé : (Auteur) The correct and accurate assessments of growing stock (stem volume) in combination with forest growth predictions from models are essential for sustainable forest management. Currently, no such information exists for the broadleaved forests of Bhutan. This study evaluates the important factors of individual tree growth for broadleaved species in Dagana, Bhutan. Data were collected from 96 inventory plots covering forest stand information, tree and stand parameters along with 5-year tree growth increment information from tree cores. Due to the large number of tree species (87), four species groups were created using principal component and cluster analysis to simplify the calibration of individual tree basal area increment (BAI) models. The main determinants of tree growth were shown to be tree size variables and competition within a forest stand. Distance dependent competition indices showed higher correlation to growth than distance independent competition indices. The resulting increment models provided consistent and unbiased estimates of individual tree BAI predictions. Increasing competition levels reduce the productivity of the individual trees. This emphasises the need for crown release to obtain higher individual tree growth. We demonstrate that the BAI models developed in this study can be used to predict tree growth by species group according to different stand density conditions and, if they are verified on a wider scale, could form the basis of sustainable forest management in Bhutan. Numéro de notice : A2017-878 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpw065 En ligne : https://doi.org/10.1093/forestry/cpw065 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91171
in Forestry, an international journal of forest research > vol 90 n° 3 (May 2017) . - pp 367 - 380[article]Armature urbaine / Martine Kis in Géomètre, n° 2146 (avril 2017)
[article]
Titre : Armature urbaine Type de document : Article/Communication Auteurs : Martine Kis, Auteur Année de publication : 2017 Article en page(s) : pp 14 - 15 Langues : Français (fre) Descripteur : [Termes IGN] arbre (flore)
[Termes IGN] droit de l'environnement
[Termes IGN] gestion de l'eau
[Termes IGN] ilot thermique urbain
[Termes IGN] urbanisation
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) L'arbre ne se contente plus d'embellir la ville. Il joue un rôle structurant dans l'urbanisme, contribue à la gestion de l'eau, ou encore à la lutte contre l'îlot de chaleur urbain. Numéro de notice : A2017-183 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/URBANISME Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84728
in Géomètre > n° 2146 (avril 2017) . - pp 14 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 063-2017041 RAB Revue Centre de documentation En réserve L003 Disponible Determining tree height and crown diameter from high-resolution UAV imagery / Dimitrios Panagiotidis in International Journal of Remote Sensing IJRS, vol 38 n° 8-10 (April 2017)
[article]
Titre : Determining tree height and crown diameter from high-resolution UAV imagery Type de document : Article/Communication Auteurs : Dimitrios Panagiotidis, Auteur ; Azadeh Abdollahnejad, Auteur ; Peter Surový, Auteur ; Vasco Chiteculo, Auteur Année de publication : 2017 Article en page(s) : pp 2392 - 2410 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Betula pendula
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] image aérienne
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Larix decidua
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] reconstruction 3D
[Termes IGN] séquence d'images
[Termes IGN] structure-from-motion
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in indirect measurements of tree features. We used UAV-sensed high-resolution imagery through photogrammetry and Structure from Motion (SfM) to estimate tree heights and crown diameters. We reconstructed 3D structures from 2D image sequences for two study areas (25 × 25 m). Species composition for Plot 1 included Norway spruce (Picea abies L.) together with European larch (Larix decidua Mill.) and Scots pine (Pinus sylvestris L.), whereas Plot 2 was mainly Norway spruce and Scots pine together with scattered individuals of European larch and Silver birch (Betula pendula Roth.). The involved workflow used canopy height models (CHMs) for the extraction of height, the smoothing of raster images for the determination of the local maxima, and Inverse Watershed Segmentation (IWS) for the estimation of the crown diameters with the help of a geographical information system (GIS). Finally, we validated the accuracies of the two methods by comparing the UAV results with ground measurements. The results showed higher agreement between field and remote-sensed data for heights than for crown diameters based on RMSE%, which were in the range 11.42–12.62 for height and 14.29–18.56 for crown diameter. Overall, the accuracy of the results was acceptable and showed that the methods were feasible for detecting tree heights and crown diameter. Numéro de notice : A2017-683 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2016.1264028 En ligne : http://dx.doi.org/10.1080/01431161.2016.1264028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87246
in International Journal of Remote Sensing IJRS > vol 38 n° 8-10 (April 2017) . - pp 2392 - 2410[article]A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas / Martin Weinmann in Remote sensing, vol 9 n° 3 (March 2017)PermalinkA hybrid genetic algorithm with local optimiser improves calibration of a vegetation change cellular automata model / Rachel Whitsed in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)PermalinkReconstructing forest canopy from the 3D triangulations of airborne laser scanning point data for the visualization and planning of forested landscapes / Jari Vauhkonen in Annals of Forest Science, vol 74 n° 1 (March 2017)PermalinkEstimation of ash mortality induced by Hymenoscyphus fraxineus in France and Belgium / Benoît Marçais in Baltic forestry, vol 23 n° 1 ([01/01/2017])PermalinkFeasibility of Terrestrial laser scanning for collecting stem volume information from single trees / Ninni Saarinen in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)PermalinkHandbook on advances in remote sensing and geographic information systems / Margarita N. Favorskaya (2017)PermalinkSegmentation sémantique de données de télédétection multimodale : application aux peuplements forestiers / Clément Dechesne (2017)PermalinkTraitement de données LiDAR pour la modélisation d'indicateurs de biodiversité forestière / Sylvain Jourdana (2017)PermalinkUtilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)PermalinkLa vie secrète des arbres / Peter Wohlleben (2017)Permalink