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Towards an enhanced understanding of airborne LiDAR measurements of forest vegetation / Aarne Hovi (2015)
Titre : Towards an enhanced understanding of airborne LiDAR measurements of forest vegetation Type de document : Thèse/HDR Auteurs : Aarne Hovi, Auteur Editeur : Vantaa [Finlande] : Finnish Society of Forest Science Année de publication : 2015 Collection : Dissertationes forestales, ISSN 1795-7389 num. 200 Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-651-489-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de sensibilité
[Termes IGN] composition d'un peuplement forestier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] espèce végétale
[Termes IGN] forme d'onde
[Termes IGN] identification automatique
[Termes IGN] photogrammétrie terrestre
[Termes IGN] signal laserRésumé : (auteur) This thesis presents basic research on how airborne LiDAR measurements of forest vegetation are influenced by the interplay of the geometric-optical properties of vegetation, sensor function and acquisition settings. Within the work, examining the potential of waveform (WF) recording sensors was of particular interest.
Study I focused upon discrete return LiDAR measurements of understory trees. It showed that transmission losses influenced the intensity of observations and echo triggering probabilities, and also skewed the distribution of echoes towards those triggered by highly reflective or dense targets. The intensity data were of low value for species identification, but the abundance of understory trees could be predicted based on echo height distributions.
In study II, a method of close-range terrestrial photogrammetry was developed. Images were shown as being useful for visualizations and even the geometric quality control of LiDAR data. The strength of backscattering was shown to correlate with the projected area extracted from the images.
In study III, a LiDAR simulation model was developed and validated against real measurements. The model was able to be used for sensitivity analyses to illustrate how plant structure or different pulse properties influence the WF data. Both simulated and real data showed that WF data were able to capture small-scale variations in the structural and optical properties of juvenile forest vegetation.
Study IV illustrated the potential of WF data in the species classification of larger trees. The WF features that separated tree species were also dependent on other variables such as tree size and phenology. Inherent between-tree differences in structure were quantified and the effects of pulse density on the features were examined.
Overall, the thesis provides basic findings on how LiDAR pulses interact with forest vegetation, and serves to link theory with real observations. The results contribute to an improved understanding of LiDAR measurements and their limitations, and thus provide support for further improvements in both data interpretation methods and specific sensor design.Numéro de notice : 14979 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère Note de thèse : PhD : Forest sciences : University of Helsinki : 2015 En ligne : http://www.metla.fi/dissertationes/df200.htm Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78367 Tropical forest structure characterization using airborne lidar data: an individual tree level approach / António Ferraz (dec 2015)
Titre : Tropical forest structure characterization using airborne lidar data: an individual tree level approach Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Sassan Saatchi, Auteur ; Clément Mallet , Auteur ; Victoria Meyer, Auteur Editeur : Washington DC [Maryland - Etats-Unis] : American Geophysical Union AGU Année de publication : dec 2015 Conférence : AGU 2015 Fall Meeting 14/10/2015 18/12/2015 San Francisco Californie - Etats-Unis Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] biomasse aérienne
[Termes IGN] distribution spatiale
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] Panama
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] structure d'un peuplement forestierRésumé : (auteur) Fine scale tropical forest structure characterization has been performed by means of field measurements techniques that record both the specie and the diameter at the breast height (dbh) for every tree within a given area. Due to dense and complex vegetation, additional important ecological variables (e.g. the tree height and crown size) are usually not measured because they are hardly recognized from the ground. The poor knowledge on the 3D tropical forest structure has been a major limitation for the understanding of different ecological issues such as the spatial distribution of carbon stocks, regeneration and competition dynamics and light penetration gradient assessments. Airborne laser scanning (ALS) is an active remote sensing technique that provides georeferenced distance measurements between the aircraft and the surface. It provides an unstructured 3D point cloud that is a high-resolution model of the forest. This study presents the first approach for tropical forest characterization at a fine scale using remote sensing data. The multi-modal lidar point cloud is decomposed into 3D clusters that correspond to single trees by means of a technique called Adaptive Mean Shift Segmentation (AMS3D). The ability of the corresponding individual tree metrics (tree height, crown area and crown volume) for the estimation of above ground biomass (agb) over the 50 ha CTFS plot in Barro Colorado Island is here assessed. We conclude that our approach is able to map the agb spatial distribution with an error of nearly 12% (RMSE=28 Mg ha-1) compared with field-based estimates over 1ha plots. Numéro de notice : C2015-033 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/75802 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83298 A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada / Junjie Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 98 (December 2014)
[article]
Titre : A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada Type de document : Article/Communication Auteurs : Junjie Zhang, Auteur ; Gunho Sohn, Auteur ; Mathieu Brédif , Auteur Année de publication : 2014 Article en page(s) : pp 44 - 57 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] détection d'objet
[Termes IGN] hauteur des arbres
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle stochastique
[Termes IGN] Pinophyta
[Termes IGN] traitement d'imageRésumé : (Auteur) This study presents a hybrid framework for single tree detection from airborne laser scanning (ALS) data by integrating low-level image processing techniques into a high-level probabilistic framework. The proposed approach modeled tree crowns in a forest plot as a configuration of circular objects. We took advantage of low-level image processing techniques to generate candidate configurations from the canopy height model (CHM): the treetop positions were sampled within the over-extracted local maxima via local maxima filtering, and the crown sizes were derived from marker-controlled watershed segmentation using corresponding treetops as markers. The configuration containing the best possible set of detected tree objects was estimated by a global optimization solver. To achieve this, we introduced a Gibbs energy, which contains a data term that judges the fitness of the objects with respect to the data, and a prior term that prevents severe overlapping between tree crowns on the configuration space. The energy was then embedded into a Markov Chain Monte Carlo (MCMC) dynamics coupled with a simulated annealing to find its global minimum. In this research, we also proposed a Monte Carlo-based sampling method for parameter estimation. We tested the method on a temperate mature coniferous forest in Ontario, Canada and also on simulated coniferous forest plots with different degrees of crown overlap. The experimental results showed the effectiveness of our proposed method, which was capable of reducing the commission errors produced by local maxima filtering, thus increasing the overall detection accuracy by approximately 10% on all of the datasets. Numéro de notice : A2014-631 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.007 Date de publication en ligne : 20/10/2014 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75047
in ISPRS Journal of photogrammetry and remote sensing > vol 98 (December 2014) . - pp 44 - 57[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014121 RAB Revue Centre de documentation En réserve L003 Disponible Mensuration moderne de bâtiments à l'aide du balayage laser : travail de projet - technicien en géomatique / Roman Gnägi in Géomatique suisse, vol 112 n° 12 (décembre 2014)
[article]
Titre : Mensuration moderne de bâtiments à l'aide du balayage laser : travail de projet - technicien en géomatique Type de document : Article/Communication Auteurs : Roman Gnägi, Auteur Année de publication : 2014 Article en page(s) : pp 522 - 523 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bâtiment
[Termes IGN] modèle numérique de terrain
[Termes IGN] pont
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) Cet article est un rapport d'expérience, qui éclaire d'un point de vue personnel le choix du sujet et le déroulement de mon travail final pour l'obtention du brevet de Technicien en géomatique. Mon employeur, la société d'ingénieurs Wälli SA, a été à plusieurs reprises confronté à des tâches pour lesquelles l'utilisation d'un scanner laser terrestre aurait été appropriée. Jusqu'à récemment, ces mandats ont été exécutés en partenariat avec d'autres bureaux, soit avec des instruments topographiques classiques. Puisque je porte un vif intérêt à de nouvelles technologies, nous avons décidé ensemble, en vue de mon prochain travail de diplôme pour l'obtention de mon brevet de Technicien en géomatique, d'approfondir nos connaissances dans le domaine du balayage laser 3D. Numéro de notice : A2014-591 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74852
in Géomatique suisse > vol 112 n° 12 (décembre 2014) . - pp 522 - 523[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 136-2014121 RAB Revue Centre de documentation En réserve L003 Disponible PTrees: A point-based approach to forest tree extraction from lidar data / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 33 (December 2014)
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Titre : PTrees: A point-based approach to forest tree extraction from lidar data Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Ahmed Hamrouni, Auteur ; S. El Mokhtari, Auteur ; J. Morel, Auteur ; Jérôme Bock, Auteur ; Jean-Pierre Renaud , Auteur ; Marine Bouvier, Auteur ; Sylvie Durrieu, Auteur Année de publication : 2014 Projets : FORESEE / Bigot-de-Morogues, Francis Article en page(s) : pp 98 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction d'arbres
[Termes IGN] houppier
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] segmentation dynamique
[Termes IGN] semis de points
[Termes IGN] traitement de données localiséesRésumé : (auteur) This paper introduces PTrees, a multi-scale dynamic point cloud segmentation dedicated to forest tree extraction from lidar point clouds. The method process the point data using the raw elevation values (Z) and compute height (H = Z − ground elevation) during post-processing using an innovative procedure allowing to preserve the geometry of crown points. Multiple segmentations are done at different scales. Segmentation criteria are then applied to dynamically select the best set of apices from the tree segments extracted at the various scales. The selected set of apices is then used to generate a final segmentation. PTrees has been tested in 3 different forest types, allowing to detect 82% of the trees with under 10% of false detection rate. Future development will integrate crown profile estimation during the segmentation process in order to both maximize the detection of suppressed trees and minimize false detections. Numéro de notice : A2014-800 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2014.05.001 Date de publication en ligne : 28/05/2014 En ligne : http://dx.doi.org/10.1016/j.jag.2014.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83462
in International journal of applied Earth observation and geoinformation > vol 33 (December 2014) . - pp 98 - 108[article]Segmentation semi-automatique pour le traitement de données 3D denses : application au patrimoine architectural / Florent Poux in XYZ, n° 141 (décembre 2014 - février 2015)PermalinkTerrestrial laser scanning as a key element in the integrated monitoring of tidal influences on a twin-tube concrete tunnel / Timothy Nuttens in Photogrammetric record, vol 29 n° 148 (December 2014 - February 2015)PermalinkAccuracy in estimation of timber assortments and stem distribution: A comparison of airborne and terrestrial laser scanning techniques / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkAccuracy test of point-based and object-based urban building feature classification and extraction applying airborne LiDAR data / T. Tang in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkAn assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data / Luke Wallace in IEEE Transactions on geoscience and remote sensing, vol 52 n° 11 tome 1 (November 2014)PermalinkAssessment of crop foliar nitrogen using a novel dual-wavelength laser system and implications for conducting laser-based plant physiology / Jan U.H. Eitel in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkAssociation-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features / Kaleel Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)PermalinkAutomatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes / M. Cabaleiro in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkDeriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies / Jari Vauhkonen in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkNow you see it… Now you don’t: Understanding airborne mapping LiDAR collection and data product generation for archaeological research in Mesoamerica / Juan Fernandez-Diaz in Remote sensing, vol 6 n° 10 (October 2014)PermalinkSemantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)PermalinkAn accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data / Wei Zhuang in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)PermalinkAssessing the potential for leaf-off LiDAR data to model canopy closure in temperate deciduous forests / Jason R. 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