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Forest diversity promotes individual tree growth in central European forest stands / Juliette Chamagne in Journal of applied ecology, vol 54 n° 1 (February 2017)
[article]
Titre : Forest diversity promotes individual tree growth in central European forest stands Type de document : Article/Communication Auteurs : Juliette Chamagne, Auteur ; Matteo Tanadini, Auteur ; David Frank, Auteur ; Radim Matula, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 71 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité
[Termes IGN] croissance des arbres
[Termes IGN] dendrochronologie
[Termes IGN] densité de la végétation
[Termes IGN] Europe centrale
[Termes IGN] forêt
[Termes IGN] peuplement forestier
[Termes IGN] service écosystémique
[Vedettes matières IGN] SylvicultureRésumé : (Auteur) Most experimental evidence on the relationship between biodiversity and ecosystem functioning comes from ecosystems with fast‐growing plants, such as grasslands. Although forests provide essential ecological services, they have been less well investigated. We used dendrochronology to compare the tree radial growth rates of four important timber species in replicated, spatially mapped stands that differed in tree composition and diversity within a central European managed forest. Growth rates differed among species but were largely unaffected by the density of neighbouring trees. Increasing stand diversity enhanced individual growth rates, after accounting for the effects of tree density and size. These increases were statistically indistinguishable among the four species. In contrast, the effects of stand and neighbourhood species composition on growth rates were non‐significant. Policy implications. Our study of long‐established central European forest stands revealed levels of tree diversity can be increased in managed forests, with the potential for modest increases in tree growth rates. These results suggest that in addition to the biodiversity and risk mitigation benefits associated with shifting practices away from monoculture management, increased carbon sequestration and yields in mature forests are likely to be realized. Our results suggest that it is possible to increase forest diversity with little or no costs to production and even with the potential for modest increases in tree growth rates. Numéro de notice : A2017-900 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/1365-2664.12783 Date de publication en ligne : 17/01/2017 En ligne : https://doi.org/10.1111/1365-2664.12783 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92957
in Journal of applied ecology > vol 54 n° 1 (February 2017) . - pp 71 - 79[article]Multiview marker-free registration of forest terrestrial laser scanner data with embedded confidence metrics / David Kelbe in IEEE Transactions on geoscience and remote sensing, vol 55 n° 2 (February 2017)
[article]
Titre : Multiview marker-free registration of forest terrestrial laser scanner data with embedded confidence metrics Type de document : Article/Communication Auteurs : David Kelbe, Auteur ; Jan Van Aardt, Auteur ; Paul Romanczyk, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 729 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] acquisition de données
[Termes IGN] carte de confiance
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] mesure géométrique
[Termes IGN] New York (Etats-Unis ; état)
[Termes IGN] numérisation
[Termes IGN] semis de points
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] superpositionRésumé : (Auteur) Terrestrial laser scanning has demonstrated increasing potential for rapid comprehensive measurement of forest structure, especially when multiple scans are spatially registered in order to reduce the limitations of occlusion. Although marker-based registration techniques (based on retro-reflective spherical targets) are commonly used in practice, a blind marker-free approach is preferable, insofar as it supports rapid operational data acquisition. To support these efforts, we extend the pairwise registration approach of our earlier work, and develop a graph-theoretical framework to perform blind marker-free global registration of multiple point cloud data sets. Pairwise pose estimates are weighted based on their estimated error, in order to overcome pose conflict while exploiting redundant information and improving precision. The proposed approach was tested for eight diverse New England forest sites, with 25 scans collected at each site. Quantitative assessment was provided via a novel embedded confidence metric, with a mean estimated root-mean-square error of 7.2 cm and 89% of scans connected to the reference node. This paper assesses the validity of the embedded multiview registration confidence metric and evaluates the performance of the proposed registration algorithm. Numéro de notice : A2017-142 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2614251 En ligne : https://doi.org/10.1109/TGRS.2016.2614251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84630
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 2 (February 2017) . - pp 729 - 741[article]How to combine lidar and very high resolution multispectral images for forest stand segmentation? / Clément Dechesne (2017)
Titre : How to combine lidar and very high resolution multispectral images for forest stand segmentation? Type de document : Article/Communication Auteurs : Clément Dechesne , Auteur ; Clément Mallet , Auteur ; Arnaud Le Bris , Auteur ; Valérie Gouet-Brunet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2017 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IGARSS 2017, IEEE International Geoscience And Remote Sensing Symposium 23/07/2017 28/07/2017 Fort Worth Texas - Etats-Unis Proceedings IEEE Importance : pp 2772 - 2775 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image infrarouge
[Termes IGN] image multibande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] peuplement forestier
[Termes IGN] segmentation sémantique
[Termes IGN] semis de points
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forest stands are a basic unit of analysis for forest inventory and mapping. Stands are defined as large forested areas of homogeneous tree species composition and age. Their accurate delineation is usually performed by human operators through visual analysis of very high resolution (VHR) infra-red and visible images. This task is tedious, highly time consuming, and needs to be automated for scalability and efficient updating purposes. The most appropriate fusion of two remote sensing modalities (lidar and multispectral images) is investigated here. The multispectral images give information about the tree species while 3D lidar point clouds provide geometric information. The fusion is operated at three different levels within a semantic segmentation workflow: over-segmentation, classification, and regularization. Results show that over-segmentation can be performed either on lidar or optical images without performance loss or gain, whereas fusion is mandatory for efficient semantic segmentation. Eventually, the fusion strategy dictates the composition and nature of the forest stands, assessing the high versatility of our approach. Numéro de notice : C2017-039 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2017.8127572 Date de publication en ligne : 04/12/2017 En ligne : https://doi.org/10.1109/IGARSS.2017.8127572 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91921 Matching plot-level tree maps with 3D remote sensing data for assessing and estimating forest parameters / Cédric Vega (2017)
Titre : Matching plot-level tree maps with 3D remote sensing data for assessing and estimating forest parameters Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Maryem Fadili , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2017 Conférence : SilviLaser 2017, 15th conference on Lidar Applications for Assessing and Managing Forest Ecosystems 10/10/2017 12/10/2017 Blacksburg Virginie - Etats-Unis OA Abstracts only Langues : Anglais (eng) Descripteur : [Termes IGN] appariement de données localisées
[Termes IGN] erreur de positionnement
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] programmation par contraintes
[Termes IGN] structure d'un peuplement forestier
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) 3D remote sensing data from either Lidar or Photogrammetric means are recognized as valuable sources of information for assessing and estimating forest structure and related parameters. Both data types have been used with field inventory data for both mapping forest parameters and supporting multisource inventories. However, such a combination requires the data to be accurately matched in the spatial domain. While 3D remote sensing data might provide metric accuracy, the spatial accuracy of field plots remain largely constrained by the limited precision of GPS measurements under forest canopies. Different approaches have been proposed to improve this data registration issue, mainly through matching algorithms aiming to spatially adjust height information from field inventory with remote sensing-based models of canopy heights (CHM). State of the art approaches rely on either point to surface or point to point matching algorithms. However, the former did not make any hypothesis on the tree position on the CHM and could lead to inappropriate match. And the later relies on strong assumptions on the spatial distribution of trees and are thus sensitive to the quality of the tree apices detected on the CHM. We propose an algorithm taking advantage of both approaches. The algorithm is based on a point to surface matching algorithm constraints by local maxima (LM) extracted from the CHM. A search algorithm moved the field tree map in a given neighborhood, ensuring that the highest field tree is located over a LM. The best position is defined using both the correlation and the height error. The algorithm was tested on 91 plots including different forest types and a range of forest structure. Initial positions were shifted in average by 2.18 m (±1.95 m SD) and led to an average error of 1.61 m (±1.07 m). The higher the tree number, the better the registration. Numéro de notice : C2017-061 Affiliation des auteurs : LIF (2012-2019) Thématique : FORET/MATHEMATIQUE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99224 Le mémento inventaire forestier, édition 2017 / Institut national de l'information géographique et forestière (2012 -) (2017)
Titre : Le mémento inventaire forestier, édition 2017 : [cinq dernières campagnes d’inventaire menées en France métropolitaine entre 2012 et 2016] Type de document : Rapport Auteurs : Institut national de l'information géographique et forestière (2012 -), Auteur Mention d'édition : édition 2017 Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2017 Importance : 17 p. Langues : Français (fre) Descripteur : [Termes IGN] arbre caducifolié
[Termes IGN] bois mort
[Termes IGN] données statistiques
[Termes IGN] forêt
[Termes IGN] France métropolitaine
[Termes IGN] grande région écologique
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] peuplement forestier
[Vedettes matières IGN] Inventaire forestierNote de contenu : SURFACES FORESTIERES
La forêt en France métropolitaine
Le taux de boisement
À qui la forêt appartient-elle ?
ECOSYSTEMES FORESTIERS
La composition des peuplements
La diversité des peuplements
Le bois mort sur pied
Le bois mort au sol
La santé des forêts
La répartition de quelques plantes
RESSOURCES FORESTIERES
Le bois vivant sur pied
Informations sur les principales essences
La production biologique annuelle
Les prélèvements de bois
Quelques données régionalesNuméro de notice : 17536 Affiliation des auteurs : IGN (2012-2019) Thématique : FORET Nature : Rapport statistique DOI : sans En ligne : https://inventaire-forestier.ign.fr/spip.php?article583 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90956 Voir aussi
- La forêt française / Inventaire forestier national (1958 - 2011) (2010)
- La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2012)
- La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2012)
- La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2013)
- La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2014)
- Résultats d'inventaire forestier : méthodologie pour bien comprendre les résultats publiés 2011- 2015 / Institut national de l'information géographique et forestière (2012 -) (2016)
- La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)
- La forêt française : état des lieux et évolutions récentes / M. Garnier (2018)
- Le mémento inventaire forestier, édition 2018 / Institut national de l'information géographique et forestière (2012 -) (2018)
- Le mémento inventaire forestier, édition 2019 / Institut national de l'information géographique et forestière (2012 -) (2019)
- Le mémento inventaire forestier, édition 2020 / Institut national de l'information géographique et forestière (2012 -) (2021)
- Le mémento inventaire forestier, édition 2021 / Institut national de l'information géographique et forestière (2012 -) (2022)
Documents numériques
en open access
Le mémento inventaire forestier 2017 - pdfAdobe Acrobat PDF Les prairies de l’estuaire de la Loire : étude de la dynamique de la végétation de 1982 à 2014 / Mathieu Le Dez in Mappemonde, n° 119 (janvier 2017)PermalinkSegmentation sémantique de données de télédétection multimodale : application aux peuplements forestiers / Clément Dechesne (2017)PermalinkSegmentation sémantique de peuplements forestiers par analyse conjointe d’imagerie multispectrale très haute résolution et de données 3D Lidar aéroportées / Clément Dechesne (2017)PermalinkPermalinkUtilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)PermalinkStatistical inference for forest structural diversity indices using airborne laser scanning data and the k-Nearest Neighbors technique / Matteo Mura in Remote sensing of environment, vol 186 (1 December 2016)PermalinkTree diversity effect on dominant height in temperate forest / Patrick Vallet in Forest ecology and management, vol 381 (1 December 2016)PermalinkEffective number of layers: A new measure for quantifying three-dimensional stand structure based on sampling with terrestrial LiDAR / Martin Ehbrecht in Forest ecology and management, vol 380 (15 november 2016)PermalinkEffects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns / Kaja Kandare in European journal of remote sensing, vol 49 n° 1 (2016)PermalinkEvolution-based approach needed for the conservation and silviculture of peripheral forest tree populations / Bruno Fady in Forest ecology and management, vol 375 (1 September 2016)PermalinkAirborne lidar estimation of aboveground forest biomass in the absence of field inventory / António Ferraz in Remote sensing, vol 8 n° 8 (August 2016)PermalinkSilvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories / Klara Dolos in Forest ecology and management, vol 373 (1 August 2016)PermalinkUsing classification trees to predict forest structure types from LiDAR data / Chiara Torresan in Annals of forest research, vol 59 n° 2 (July - December 2016)PermalinkMangrove forest characterization in Southeast Côte d’Ivoire / Isimemen Osemwegie in Open journal of forestry, vol 6 n° 3 (February 2016)PermalinkApplication des techniques de photogrammétrie par drone à la caractérisation des ressources forestières / Jonathan Lisein (2016)PermalinkPermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)PermalinkGini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure / Rubén Valbuena in Ecological indicators, vol 60 (January 2016)PermalinkMicrowave unmixing with video segmentation for inferring broadleaf and needleleaf brightness temperatures and abundances from mixed forest observations / Lingjia Gu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)Permalink