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SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne
nom du congrès :
SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems
début du congrès :
14/09/2010
fin du congrès :
17/09/2010
ville du congrès :
Fribourg
pays du congrès :
Allemagne
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Affiner la recherche Interroger des sources externesAutomated detection of branch dimensions in woody skeletons of fruit tree canopies / Alexander Bucksch in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
Titre : Automated detection of branch dimensions in woody skeletons of fruit tree canopies Type de document : Article/Communication Auteurs : Alexander Bucksch, Auteur ; Stefan Fleck, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 229 - 240 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] branche (arbre)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] houppier
[Termes IGN] semis de points
[Termes IGN] SKELTRE algorithm
[Termes IGN] squelettisationRésumé : (auteur) Modeling the 3D canopy structure of trees provides the structural mapping capability on which to assign distributed values of light-driven physiological processes in tree canopies. We evaluate the potential of automatically extracted skeletons from terrestrial lidar data as a basis for modeling canopy structure. The automatic and species independent evaluation method for lidar data of trees is based on the SKELTRE algorithm. The SKELTRE skeleton is a graphical representation of the branch hierarchy. The extraction of the branch hierarchy utilizes a graph splitting procedure to extract the branches from the skeleton. Analyzing the distance between the point cloud points and the skeleton is the key to the branch diameter. Frequency distributions of branch length and diameter were chosen to test the algorithm performance in comparison to manually measured data and resulted in a correlation of up to 0.78 for the branch length and up to 0.99 for the branch diameter. Numéro de notice : A2011-157 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.229 En ligne : https://doi.org/10.14358/PERS.77.3.229 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81267
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 229 - 240[article]
Titre : Forestry applications for satellite lidar remote sensing Type de document : Article/Communication Auteurs : J. Rosette, Auteur ; J. Suarez, Auteur ; P. North, Auteur ; S. Los, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 271 - 279 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] croissance des arbres
[Termes IGN] données ICEsat
[Termes IGN] forêt
[Termes IGN] Geoscience Laser Altimeter System
[Termes IGN] hauteur des arbres
[Termes IGN] lasergrammétrie
[Termes IGN] risque naturel
[Termes IGN] ventRésumé : (Auteur) This paper presents a method to estimate forest parameter and surface topography from NASA's Geosciences Laser Altimeter System (glas). Their potential use as observational inputs to models is demonstrated using a wind-risk model for the UK, ForestGALES. Relative heights above ground were used as biophysical parameter estimators. Top Height was estimated with R2 = 0.73, RMSE = 4.5 m. Diameter at breast height estimates differed for conifer-dominated stands (R2 = 0.72, RMSE = 0.07 m) and for stands containing mostly broadleaves (R2 = 0.41, RMSE = 0.11 m). Ground elevation estimation produced R2 = 0.997, RMSE = 2.2 m. These three parameters were applied to ForestGALES for stand-level assessment of wind-throw risk. Stability is sensitive to small differences in tree dimensions, and therefore vegetation parameters require greater accuracy than those currently retrievable from GLAS to more reliably determine risk of wind-throw. Future satellite lidar mission such as NASA's DESDynl sensor aim to produce improved vegetation parameter estimation plus greater spatial cover-age which would offer more appropriate inputs for forestry models. Numéro de notice : A2011-080 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.271 En ligne : https://doi.org/10.14358/PERS.77.3.271 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30861
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 271 - 279[article]
Titre : Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data Type de document : Article/Communication Auteurs : Junjie Zhang, Auteur ; A. De Gier, Auteur ; Y. Xing, Auteur ; Gunho Sohn, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 281 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] capteur spatial
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] couvert forestier
[Termes IGN] décomposition de Gauss
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] Pinophyta
[Termes IGN] signal laserRésumé : (Auteur) This study developed a new method to derive forest type information from large-footprint lidar data based on full waveform analysis. For this purpose, the raw waveform was decomposed into Gaussian components, and canopy return and ground return of the waveforms were separated. Two types of metrics hypothesized to have relationship with forest types were derived from the canopy return part of the waveform. The first type of metrics is quantile-based metrics reflecting the vertical distribution of canopy return energy, and the second type is statistical characteristics of the Gaussian components of canopy return part. Support Vector Machine classification was applied to different combinations of the metrics to find their relationship with different forest types. The results showed that the second type of metrics, indicating the canopy stratum characteristics, showed great promise in separating broad-leaved and needle-leaved forests with the accuracy ranging from 88.68 percent to 90.57 percent and Kappa statistic from 0.7406 to 0.7868. Numéro de notice : A2011-081 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.281 En ligne : https://doi.org/10.14358/PERS.77.3.281 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30862
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 281 - 290[article]vol 77 n° 3 - March 2011 - Silvilaser, Lidar remote sensing for characterizing forest vegetation (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensing
Contient
- Forestry applications for satellite lidar remote sensing / J. Rosette in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
- Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data / Junjie Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
- Automated detection of branch dimensions in woody skeletons of fruit tree canopies / Alexander Bucksch in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
contenu dans Proceedings Silvilaser 2010, The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14th - 17th, 2010 Freiburg, Germany / Barbara Koch (2010)
Titre : 3D segmentation of forest structure using an adaptive mean shift based procedure Type de document : Article/Communication Auteurs : António Ferraz Editeur : Fribourg [Allemagne] : University of Freiburg Année de publication : 2010 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Importance : pp 281 - 291 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] barycentre
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Eucalyptus globulus
[Termes IGN] Pinus pinaster
[Termes IGN] Portugal
[Termes IGN] semis de points
[Termes IGN] strate végétaleRésumé : (auteur) Plant communities display a vertical structure based on the size and growth pattern of the dominant species. To a large extent, this pattern, called vertical stratification, depends on the climatic zone. Vertical structure analysis consists in detecting the number of layers and their limits within a forest stand. So far, there is a lack of robust approaches applied to airborne laser scanning (ALS) data that properly segment the different strata of forests having complex structures. In this study, we propose a procedure to characterize vertical forest stratification based on the mean shift (MS) algorithm. The MS is a non-linear filter that searches for local density maxima (modes). It is a non-parametric and unsupervised approach, which only requires a single criterion, the kernel bandwidth. Since the forest point cloud is a multi-modal distribution, the MS is used to find the modes which are supposed to be the barycenters of vegetation features. Once achieved, the modes are grouped together according to height range and the corresponding ALS points are assigned to each vegetation strata. Due to their complex pattern, using a single scale over the whole space is not recommended for the analysis of such environments. On this basis, the modes are computed using a variable kernel bandwidth according to the forest pattern. To depict such a pattern, we propose a new technique that segments the main forest layers at the plot level: overstory, understory, and surface vegetation. The procedure has been carried out on 45 plots of a Portuguese forest mainly composed of eucalyptus (Eucalyptus globulus) and pine (Pinus pinaster) trees that can be strongly populated by understory and surface vegetation. Numéro de notice : C2010-020 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : FORET/IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83729 Documents numériques
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3D segmentation of forest structure ... - pdf éditeurAdobe Acrobat PDFProceedings Silvilaser 2010, The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14th - 17th, 2010 Freiburg, Germany / Barbara Koch (2010)
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