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Auteur Marc Bouvier |
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Affiner la recherche Interroger des sources externesOn the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters / Cédric Vega in Remote sensing of environment, vol 175 (15 March 2016)
Titre : On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters Type de document : Article/Communication Auteurs : Cédric Vega Année de publication : 2016 Projets : FORESEE / Bigot-de-Morogues, Francis Article en page(s) : pp 32 - 42 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] feuillu
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] métrique
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] surface terrièreRésumé : (auteur) We proposed a new area-based approach to process Lidar point clouds and develop new sets of metrics to improve models dedicated to predict forest parameters. First, we introduced point normalization based on penetration depth below the outer canopy layer to avoid biases introduced by ground normalization and canopy surface heterogeneity during metric computation. Second, we proposed computation of area and volume metrics from canopy surface models computed from both first and last returns to better characterize the 3D plot heterogeneity. The set of proposed metrics were combined with traditional ones, based on point height above ground level, to measure their contribution to models of basal area (BA) and aboveground volume (AGV). The modeling framework included a wide range of forest types, canopy structures and Lidar characteristics. Models were developed for all sites grouped together or separately. In each case, the set of metrics was submitted to a hierarchical clustering process to select the best variables to be included in the models that were further established using a best-subset method. Overall, the introduction of the proposed metrics allowed a reduction in models root mean squared error from − 0.06% to 19.58% according to forest types and target forest parameters. Best improvements were achieved for broadleaved forests, showing the potential of the proposed metrics to efficiently characterize the structure of such porous forest canopies. Numéro de notice : A2016--089 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2015.12.039 Date de publication en ligne : 07/01/2016 En ligne : http://doi.org/10.1016/j.rse.2015.12.039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84582
in Remote sensing of environment > vol 175 (15 March 2016) . - pp 32 - 42[article]
Titre : Analyse Lidar et photogrammétrie du couvert forestier Type de document : Article/Communication Auteurs : Laurent Saint André, Auteur ; Jean-Pascal Burochin Editeur : [s.l.] : [s.n.] Année de publication : 2015 Conférence : Colloque de Montiers 2015 20/03/2015 Montiers France Langues : Français (fre) Numéro de notice : C2015-012 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93470 Documents numériques
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Analyse Lidar et photogrammétrie du couvert forestier - ppt auteurAdobe Acrobat PDFLand Resources Monitoring, Modeling, and Mapping with Remote Sensing, ch. 17. Optical remote sensing of tree and stand heights / Sylvie Durrieu (2015)
Titre de série : Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, ch. 17 Titre : Optical remote sensing of tree and stand heights Type de document : Chapitre/Contribution Auteurs : Sylvie Durrieu, Auteur ; Cédric Vega Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2015 Importance : pp 449 - 485 Note générale : bibliographie
in : Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, Edited By Prasad S. Thenkabail, Ph.D.
One of the three Volumes in Remote Sensing Handbook published by CRC PressLangues : Anglais (eng) Descripteur : [Termes IGN] dendrométrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] hauteur des arbres
[Termes IGN] image numérique
[Termes IGN] modèle numérique
[Termes IGN] surface terrière
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forests cover 30% of continental surfaces and play a key role in climate change regulation, in raw material and renewable energy supply, and in biodiversity conservation. Successfully maintaining all the functions of forest ecosystems through their sustainable management is thus crucial for the future of mankind. However, developing appropriate policies and management practices requires an in-depth knowledge on forest ecosystems. Numéro de notice : H2015-006 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : sans Date de publication en ligne : 02/10/2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84601
