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Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
[article]
Titre : Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Cédric Vega , Auteur ; Pierre Couteron, Auteur Année de publication : 2013 Article en page(s) : pp 924 - 934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] carte de la végétation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle mathématique
[Termes IGN] Pinus (genre)
[Termes IGN] signal lidar
[Termes IGN] volume en boisRésumé : (auteur) The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error ± standard deviation) of 2% ± 26% and -15% ±49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5% ± 31%), but they increased the accuracy of aboveground biomass estimates ( -4%±31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. Numéro de notice : A2013-053 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/JSTARS.2012.2211863 Date de publication en ligne : 27/09/2012 En ligne : http://doi.org/10.1109/JSTARS.2012.2211863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84586
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing > vol 6 n° 2 part 3 (April 2013) . - pp 924 - 934[article]The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
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Titre : The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans Type de document : Article/Communication Auteurs : Pyare Pueschel, Auteur Année de publication : 2013 Article en page(s) : pp 58 - 68 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] extraction de la végétation
[Termes IGN] télémètre laser terrestre
[Termes IGN] troncRésumé : (Auteur) In the present study the influence of the scanner parameters, scan resolution (angular step size), scan speed (number of laser pulses per second), and pulse duration, on tree stem detection, stem diameter and volume extraction from phase-shift FARO Photon 120 TLS data was assessed. Additionally the effects of a data post processing (filtering of raw scan data) were investigated. All analyses were carried out based on single and merged scan data. It could be shown that scan speed, pulse duration and data filtering only marginally affect stem detection rates and stem diameter and volume estimation accuracies. By contrast scan resolution was found to have an effect, the magnitude of which, however, is range-dependent. For example mean stem detection rates for the three different scan resolutions tested were found to be equal in near range, but decreased more strongly for the lower scan resolutions in far range. With regard to the stem diameter extraction, scan resolution did not affect stem diameter at breast height (DBH) estimation accuracy, but limited the range within which DBH could be reliably extracted. The root mean squared error (RMSE) for DBH extracted from the single scan data was found to be significantly larger compared to the RMSE for DBH extracted from the merged scan data. Single scan data yielded stem volume estimates with lower accuracies, too. This study demonstrated that it is possible to maximize sampling efficiency by using scanner parameter sets with low scanning times (i.e., low scan resolution, high scan speed) without significantly losing estimation accuracy. If maximum accuracy is desired for both DBH and stem volume, the acquisition of multiple scans with a subsequent data merging is required. Numéro de notice : A2013-179 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32317
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 58 - 68[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible An improved simple morphological filter for the terrain classification of airborne LIDAR data / Thomas J. Pingel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
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Titre : An improved simple morphological filter for the terrain classification of airborne LIDAR data Type de document : Article/Communication Auteurs : Thomas J. Pingel, Auteur ; Keith C. Clarke, Auteur ; William A. Mcbride, Auteur Année de publication : 2013 Article en page(s) : pp 21 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] réalité virtuelle
[Termes IGN] semis de pointsRésumé : (Auteur) Terrain classification of LIDAR point clouds is a fundamental problem in the production of Digital Elevation Models (DEMs). The Simple Morphological Filter (SMRF) addresses this problem by applying image processing techniques to the data. This implementation uses a linearly increasing window and simple slope thresholding, along with a novel application of image inpainting techniques. When tested against the ISPRS LIDAR reference dataset, SMRF achieved a mean 85.4% Kappa score when using a single parameter set and 90.02% when optimized. SMRF is intended to serve as a stable base from which more advanced progressive filters can be designed. This approach is particularly effective at minimizing Type I error rates, while maintaining acceptable Type II error rates. As a result, the final surface preserves subtle surface variation in the form of tracks and trails that make this approach ideally suited for the production of DEMs used as ground surfaces in immersive virtual environments. Numéro de notice : A2013-112 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32250
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 21 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Automated urban analysis based on LiDAR-derived building models / Diego Gonzalez-Aguilera in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)
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Titre : Automated urban analysis based on LiDAR-derived building models Type de document : Article/Communication Auteurs : Diego Gonzalez-Aguilera, Auteur ; Eugenia Crespo-Matellan, Auteur ; David Hernandez-Lopez, Auteur ; Pablo Rodriguez-Gonzalvez, Auteur Année de publication : 2013 Article en page(s) : pp 1844 - 1851 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] ArcGIS
[Termes IGN] croissance urbaine
[Termes IGN] données lidar
[Termes IGN] modèle numérique du bâti
[Termes IGN] planification urbaine
[Termes IGN] Spatial AnalystRésumé : (Auteur) Building density information plays an essential role in the design, planning, and management of modern cities. This paper presents an automated approach to urban analysis using airborne laser scanner data to derive geometric information (heights, areas, and volumes) and urban density attributes (building coverage ratio and floor area ratio) of buildings, land lots, and urban units. In particular, four urban units are analyzed in the city of Avila, Spain, which has experienced considerable growth in recent years. The urban map and building density results are used to validate the utility of the automated method with respect to cadastral data and applicable regulations (Urban Land Law, 2008, and Urban Regulation General Plan, 2005). The algorithms for these operations are implemented in the Spatial Analyst ArcGIS extension module. Numéro de notice : A2013-137 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2205931 En ligne : https://doi.org/10.1109/TGRS.2012.2205931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32275
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 2 (March 2013) . - pp 1844 - 1851[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013031B RAB Revue Centre de documentation En réserve L003 Disponible Comparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
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Titre : Comparison of forest attributes derived from two terrestrial lidar systems Type de document : Article/Communication Auteurs : Mark J. Ducey, Auteur ; Rasmus Astrup, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 245 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] attribut
[Termes IGN] canopée
[Termes IGN] caractérisation
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] données lidar
[Termes IGN] forêt
[Termes IGN] instrumentation Leica
[Termes IGN] instrumentation Riegl
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] troncRésumé : (Auteur) Terrestrial lidar (TLS) is an emerging technology for deriving forest attributes, including conventional inventory and canopy characterizations. However, little is known about the influence of scanner specifications on derived forest parameters. We compared two TLS systems at two sites in British Columbia. Common scanning benchmarks and identical algorithms were used to obtain estimates of tree diameter, position, and canopy characteristics. Visualization of range images and point clouds showed clear differences, even though both scanners were relatively high-resolution instruments. These translated into quantifiable differences in impulse penetration, characterization of stems and crowns far from the scan location, and gap fraction. Differences between scanners in estimates of effective plant area index were greater than differences between sites. Both scanners provided a detailed digital model of forest structure, and gross structural characterizations (including crown dimensions and position) were relatively robust; but comparison of canopy density metrics may require consideration of scanner attributes. Numéro de notice : A2013-104 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.245 En ligne : https://doi.org/10.14358/PERS.79.3.245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32242
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 245 - 257[article]Inner constraints for planar features / Derek D. Lichti in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkThe influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkA framework for the registration and segmentation of heterogeneous lidar data / M. Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkGround filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkMeet Dr Johannes Riegl / P. Ftizgibbon in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)PermalinkModel driven reconstruction of roofs from sparse LIDAR point clouds / A. Henn in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkMoving toward consistent ALS monitoring of forest attributes across Canada: A consortium approach / Christopher Hopkinson in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkA multi-scale approach to mapping canopy height / Gordon M. Green in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkNew approaches for estimating local point density and its impact on lidar data segmentation / Z. Lari in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkOne billion points in the cloud – an octree for efficient processing of 3D laser scans / Jan Elseberg in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)Permalink