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Thinning has a positive effect on growth dynamics and growth-climate relationships in Aleppo pine (Pinus halepensis) tree of different crown classes / Jorge Olivar in Annals of Forest Science, vol 71 n° 3 (April - May 2014)
[article]
Titre : Thinning has a positive effect on growth dynamics and growth-climate relationships in Aleppo pine (Pinus halepensis) tree of different crown classes Type de document : Article/Communication Auteurs : Jorge Olivar, Auteur ; Stella Bogino, Auteur ; Cyrille B.K. Rathgeber, Auteur ; Vivien Bonnesoeur, Auteur ; Felipe Bravo, Auteur Année de publication : 2014 Article en page(s) : pp 395 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] bilan hydrique
[Termes IGN] climat méditerranéen
[Termes IGN] croissance des arbres
[Termes IGN] Espagne
[Termes IGN] forêt méditerranéenne
[Termes IGN] houppier
[Termes IGN] Pinus halepensis
[Termes IGN] sylviculture
[Termes IGN] troncRésumé : (Auteur) - Context Modification of stand density by thinning may buffer the response of tree growth and vigor to changes in climate by enhancing soil water availability. $- Aims We tested the impact of thinning intensity on cambial growth of Aleppo pine (Pinus halepensis L.) under semi-arid, Mediterranean conditions. $- Methods A multiple thinning experiment was established on an Aleppo pine plantation in Spain. We analysed the stem growth dynamics of two different crown classes under four different thinning intensities (15 %, 30 %, and 45 % removal of the basal area) for 2 years, based on biweekly band dendrometer recordings. Local relative extractable soil water was derived from the use of a water balance model Biljou© (available at https://appgeodb.nancy.inra.fr/biljou/) and used as an explanatory variable. $- Results Radial growth was mainly controlled by soil water availability during the growing season, and differed by crown class. The growth rates of dominant trees were significantly higher than the growth rates of suppressed trees. Removal of 30 % and 45 % of the initial basal area produced a growth release in both dominant and suppressed trees that did not occur under less intense thinning treatments. $- Conclusions Soil water availability was the main driver of radial growth during the growing season. Forest management confirmed its value for ameliorating the effects of water lim-itations on individual tree growth. These results may help managers understand how altering stand density will differen-tially affect diameter growth responses of Aleppo pine to short-term climatic fluctuations, promoting forests that are resilient to future climatic conditions. Numéro de notice : A2014-233 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-013-0348-y Date de publication en ligne : 01/05/2014 En ligne : https://doi.org/10.1007/s13595-013-0348-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33136
in Annals of Forest Science > vol 71 n° 3 (April - May 2014) . - pp 395 - 404[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 016-2014031 SL Revue Centre de documentation Revues en salle Disponible Automated stem curve measurement using terrestrial laser scanning / Xinlian Liang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)
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Titre : Automated stem curve measurement using terrestrial laser scanning Type de document : Article/Communication Auteurs : Xinlian Liang, Auteur ; Ville Kankare, Auteur ; Xiaowei Yu, Auteur ; Juha Hyyppä, Auteur ; Markus Holopainen, Auteur Année de publication : 2014 Article en page(s) : pp 1739 - 1748 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Abies (genre)
[Termes IGN] arbre (flore)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Pinus (genre)
[Termes IGN] prédiction
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] troncRésumé : (Auteur) This paper reports on a study of measuring stem curves of standing trees of different species and in different growth stages using terrestrial laser scanning (TLS). Pine and spruce trees are scanned using the multiscan approach in the field, and trees are felled to measure them destructively for the purpose of obtaining reference values. The stem curves are automatically retrieved from laser point clouds, resulting in an accuracy of ~1 cm. The corresponding manual measurements yield similar accuracy but fewer measurements at the upper parts of tree stems, compared with the automated measurements. The stem volumes based on stem curve data and field measurements and the best Finnish national allometric volume equations (using tree species, height, and diameters at heights of 1.3 and 6 m as predictors) result in similar accuracy. The measurement accuracy of the stem curves and stem volumes is similar for both pine and spruce trees. The results of this paper confirm the feasibility of using TLS to produce stem curve data in an automated, accurate and noninvasive way and indicate that the point cloud provides adequate information to accurately derive stem volumes from standing trees. The stem curves and volumes retrieved from point clouds can be employed in various forest management activities, such as the calibration of national or regional allometric curve functions and the prediction of profits in preharvest inventories. Numéro de notice : A2014-112 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2253783 En ligne : https://doi.org/ 10.1109/TGRS.2013.2253783 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33017
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 3 (March 2014) . - pp 1739 - 1748[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Airborne LiDAR and terrestrial laser scanning derived vegetation obstruction factors for visibility models / Jayson Murgoitio in Transactions in GIS, vol 18 n° 1 (February 2014)
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Titre : Airborne LiDAR and terrestrial laser scanning derived vegetation obstruction factors for visibility models Type de document : Article/Communication Auteurs : Jayson Murgoitio, Auteur ; Rupesh Shrestha, Auteur ; Nancy Glenn, Auteur ; Lucas Spaete, Auteur Année de publication : 2014 Article en page(s) : pp 125 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] base de données dérivée
[Termes IGN] contour
[Termes IGN] corrélation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] écosystème forestier
[Termes IGN] intégration de données
[Termes IGN] Pinus contorta
[Termes IGN] régression
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Termes IGN] visibilitéRésumé : (Auteur) Research presented here explores the feasibility of leveraging vegetation data derived from airborne light detection and ranging (LiDAR) and terrestrial laser scanning (TLS) for visibility modeling. Using LiDAR and TLS datasets of a lodgepole pine (Pinus contorta) dominant ecosystem, tree canopy and trunk obstructions were isolated relevant to a discrete visibility beam in a short-range line-of-sight model. Cumulative obstruction factors from vegetation were compared with reference visibility values from digital photographs along sightline paths. LiDAR-derived tree factors were augmented with single-scan TLS data for obstruction prediction. Good correlation between datasets was found up to 10 m from the terrestrial scanner, but fine scale visibility modeling was problematic at longer distances. Analysis of correlation and regression results reveal the influence of obstruction shadowing inherent to discrete LiDAR and TLS, potentially limiting the feasibility of modeling visibility over large areas with similar technology. However, the results support the potential for TLS-derived subcanopy metrics for augmenting large amounts of aerial LiDAR data to significantly improve models of forest structure. Subtle LiDAR processing improvements, including more accurate tree delineation through higher point density aerial data, combined with better vegetation quantification processes for TLS data, will advance the feasibility and accuracy of data integration. Numéro de notice : A2014-069 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12022 Date de publication en ligne : 17/05/2013 En ligne : https://doi.org/10.1111/tgis.12022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32974
in Transactions in GIS > vol 18 n° 1 (February 2014) . - pp 125 - 146[article]Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison / Wajahat Kazmi in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)
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Titre : Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison Type de document : Article/Communication Auteurs : Wajahat Kazmi, Auteur ; Sergi Foix, Auteur ; Guillem Alenya, Auteur ; Hans Jorgen Andersen, Auteur Année de publication : 2014 Article en page(s) : pp 128 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] feuillu
[Termes IGN] prise de vue aérienne
[Termes IGN] qualité des données
[Termes IGN] végétationRésumé : (Auteur) In this article we analyze the response of Time-of-Flight (ToF) cameras (active sensors) for close range imaging under three different illumination conditions and compare the results with stereo vision (passive) sensors. ToF cameras are sensitive to ambient light and have low resolution but deliver high frame rate accurate depth data under suitable conditions. We introduce metrics for performance evaluation over a small region of interest. Based on these metrics, we analyze and compare depth imaging of leaf under indoor (room) and outdoor (shadow and sunlight) conditions by varying exposure times of the sensors. Performance of three different ToF cameras (PMD CamBoard, PMD CamCube and SwissRanger SR4000) is compared against selected stereo-correspondence algorithms (local correlation and graph cuts). PMD CamCube has better cancelation of sunlight, followed by CamBoard, while SwissRanger SR4000 performs poorly under sunlight. Stereo vision is comparatively more robust to ambient illumination and provides high resolution depth data but is constrained by texture of the object along with computational efficiency. Graph cut based stereo correspondence algorithm can better retrieve the shape of the leaves but is computationally much more expensive as compared to local correlation. Finally, we propose a method to increase the dynamic range of ToF cameras for a scene involving both shadow and sunlight exposures at the same time by taking advantage of camera flags (PMD) or confidence matrix (SwissRanger). Numéro de notice : A2014-089 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.11.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.11.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32994
in ISPRS Journal of photogrammetry and remote sensing > vol 88 (February 2014) . - pp 128 - 146[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Model-based analysis–synthesis for realistic tree reconstruction and growth simulation / Corina Iovan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
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Titre : Model-based analysis–synthesis for realistic tree reconstruction and growth simulation Type de document : Article/Communication Auteurs : Corina Iovan , Auteur ; Paul-Henri Cournède, Auteur ; Thomas Guyard, Auteur ; Benoit Bayol, Auteur ; Didier Boldo , Auteur ; Matthieu Cord, Auteur Année de publication : 2014 Article en page(s) : pp 1438 - 1450 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] arbre (flore)
[Termes IGN] arbre urbain
[Termes IGN] croissance des arbres
[Termes IGN] détection d'arbres
[Termes IGN] dynamique de la végétation
[Termes IGN] extraction de la végétation
[Termes IGN] image aérienne
[Termes IGN] modèle de croissance végétale
[Termes IGN] reconstruction d'objetRésumé : (auteur) Due to complexity, vegetation analysis and reconstruction of remote sensing data are challenging problems. Using architectural tree models combined with model inputs estimated from aerial image analysis, this paper presents an analysis-synthesis approach for urban vegetation detection, modeling, and reconstruction. Tree species, height, and crown size information are extracted by aerial image analysis. These variables serve for model inversion to retrieve plant age, climatic growth conditions, and competition with neighbors. Functional-structural individual-based tree models are used to reconstruct and visualize virtual trees and their time evolutions realistically in a 3-D viewer rendering the models with geographical coordinates in the reconstructed scene. Our main contributions are: 1) a novel approach for generating plant models in 3-D reconstructed scenes based on the analysis of the geometric properties of the data, and 2) a modeling workflow for the reconstruction and growth simulation of vegetation in urban or natural environments. Numéro de notice : A2014-815 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2251467 Date de publication en ligne : 12/04/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2251467 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92035
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 2 (February 2014) . - pp 1438 - 1450[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Green is the new grey / Mary Jo Wagner in GEO: Geoconnexion international, vol 13 n° 1 (january 2014)PermalinkIndividual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery / Yuchu Qin (2014)PermalinkPrésentation du portail web SILVAE : Système d'Informations Localisées sur la Végétation, les Arbres et leur Environnement / Christian Piedallu in Revue forestière française, vol 66 n° 1 (janvier - février 2014)PermalinkRegards sur la forêt / Andrée Corvol (2014)PermalinkPermalink3D tree reconstruction from simulated small footprint waveform lidar / Jiaying Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)PermalinkA 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)PermalinkSteering global mapping project and developing global map version 2 / Taro Ubukawa in Bulletin of the GeoSpatial Information authority of Japan, vol 61 (December 2013)PermalinkSingle tree biomass modelling using airborne laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 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)Permalink