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Determination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps / Marta Szostak in Geodesy and cartography, vol 64 n° 1 (June 2015)
[article]
Titre : Determination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps Type de document : Article/Communication Auteurs : Marta Szostak, Auteur ; Piotr Wezyk, Auteur ; Marek Pajak, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 87 - 99 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] couvert végétal
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] lasergrammétrie
[Termes IGN] mine
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du sol
[Termes IGN] Pologne
[Termes IGN] site Natura 2000
[Termes IGN] vectorisationRésumé : (auteur) The purpose of this study was to determine the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry. Tested area was located in the Upper Silesian Industrial Region (a large industrial region in Poland). It was a unique refuge habitat – Natura2000; PLH240008. The main aspect of this elaboration was to investigate the possible use of geotechniques and generally available geodata for mapping LULC changes and determining the spatial structure of vegetation. The presented study focuses on the analysis of a spatial structure of vegetation in the research area. This exploration was based on aerial images and orthophotomaps from 1947, 1998, 2003, 2009, 2011 and airborne laser scanning data (2011, ISOK project). Forest succession changes which occurred between 1947 and 2011 were analysed. The selected features of vegetation overgrowing spoil heap “Fryderyk” was determined.
The results demonstrated a gradual succession of greenery on soil heap. In 1947, 84% of this area was covered by low vegetation. Tree expansion was proceeding in the westerly and northwest direction. In 2011 this canopy layer covered almost 50% of the research area. Parameters such as height of vegetation, crowns length and cover density were calculated by an airborne laser scanning data. These analyses indicated significant diversity in vertical and horizontal structures of vegetation. The study presents some capacities to use airborne laser scanning for an impartial evaluation of the structure of vegetation.Numéro de notice : A2015-263 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1515/geocart-2015-0007 En ligne : http://dx.doi.org/10.1515/geocart-2015-0007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76311
in Geodesy and cartography > vol 64 n° 1 (June 2015) . - pp 87 - 99[article]Landscape monitoring of post-industrial areas using LiDAR and GIS technology / Piotr Wezyk in Geodesy and cartography, vol 64 n° 1 (June 2015)
[article]
Titre : Landscape monitoring of post-industrial areas using LiDAR and GIS technology Type de document : Article/Communication Auteurs : Piotr Wezyk, Auteur ; Marta Szostak, Auteur ; Wojciech Krzaklewski, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 125 - 137 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] lasergrammétrie
[Termes IGN] semis de pointsRésumé : (auteur) The quarrying industry is changing the local landscape, forming deep open pits and spoil heaps in close proximity to them, especially lignite mines. The impact can include toxic soil material (low pH, heavy metals, oxidations etc.) which is the basis for further reclamation and afforestation. Forests that stand on spoil heaps have very different growth conditions because of the relief (slope, aspect, wind and rainfall shadows, supply of solar energy, etc.) and type of soil that is deposited. Airborne laser scanning (ALS) technology deliver point clouds (XYZ) and derivatives as raster height models (DTM, DSM, nDSM=CHM) which allow the reception of selected 2D and 3D forest parameters (e.g. height, base of the crown, cover, density, volume, biomass, etc). The automation of ALS point cloud processing and integrating the results into GIS helps forest managers to take appropriate decisions on silvicultural treatments in areas with failed plantations (toxic soil, droughts on south-facing slopes; landslides, etc.) or as regular maintenance. The ISOK country-wide project ongoing in Poland will soon deliver ALS point cloud data which can be successfully used for the monitoring and management of many thousands of hectares of destroyed post-industrial areas which according to the law, have to be afforested and transferred back to the State Forest. Numéro de notice : A2015-264 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1515/geocart-2015-0010 En ligne : http://dx.doi.org/10.1515/geocart-2015-0010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76312
in Geodesy and cartography > vol 64 n° 1 (June 2015) . - pp 125 - 137[article]A multiscale and hierarchical feature extraction method for terrestrial laser scanning point cloud classification / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)
[article]
Titre : A multiscale and hierarchical feature extraction method for terrestrial laser scanning point cloud classification Type de document : Article/Communication Auteurs : Z. Wang, Auteur ; Liqiang Zhang, Auteur ; Tian Fang, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 2409 - 2425 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification orientée objet
[Termes IGN] détection de piéton
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] lasergrammétrie
[Termes IGN] objet mobile
[Termes IGN] semis de points
[Termes IGN] structure hiérarchique de données
[Termes IGN] télémétrie laser terrestre
[Termes IGN] zone urbaine denseRésumé : (Auteur) The effective extraction of shape features is an important requirement for the accurate and efficient classification of terrestrial laser scanning (TLS) point clouds. However, the challenge of how to obtain robust and discriminative features from noisy and varying density TLS point clouds remains. This paper introduces a novel multiscale and hierarchical framework, which describes the classification of TLS point clouds of cluttered urban scenes. In this framework, we propose multiscale and hierarchical point clusters (MHPCs). In MHPCs, point clouds are first resampled into different scales. Then, the resampled data set of each scale is aggregated into several hierarchical point clusters, where the point cloud of all scales in each level is termed a point-cluster set. This representation not only accounts for the multiscale properties of point clouds but also well captures their hierarchical structures. Based on the MHPCs, novel features of point clusters are constructed by employing the latent Dirichlet allocation (LDA). An LDA model is trained according to a training set. The LDA model then extracts a set of latent topics, i.e., a feature of topics, for a point cluster. Finally, to apply the introduced features for point-cluster classification, we train an AdaBoost classifier in each point-cluster set and obtain the corresponding classifiers to separate the TLS point clouds with varying point density and data missing into semantic regions. Compared with other methods, our features achieve the best classification results for buildings, trees, people, and cars from TLS point clouds, particularly for small and moving objects, such as people and cars. Numéro de notice : A2015-522 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2359951 En ligne : https://doi.org/10.1109/TGRS.2014.2359951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77533
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 5 (mai 2015) . - pp 2409 - 2425[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2015051 RAB Revue Centre de documentation En réserve L003 Disponible Laser-scanning with shadows / Andrea Schmitz in GEO: Geoconnexion international, vol 14 n° 4 (April 2015)
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Titre : Laser-scanning with shadows Type de document : Article/Communication Auteurs : Andrea Schmitz, Auteur Année de publication : 2015 Article en page(s) : pp 27 - 29 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bâtiment
[Termes IGN] Copenhague
[Termes IGN] lasergrammétrie
[Termes IGN] modélisation 3D
[Termes IGN] surveillance d'ouvrage
[Termes IGN] système de numérisation mobile
[Termes IGN] tunnelRésumé : (Editeur) With construction for a new metro tunnel set to pass just 5m below copenhagen’s famous Magasin du nord, the engineering companies involved needed as up-to-date and as accurate a 3D model of the store as possible in a tight timeframe. Andrea Schmitz reports on a delicate night-time operation – in which the surveyors were watched at all times by security guards Numéro de notice : A2015-159 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75846
in GEO: Geoconnexion international > vol 14 n° 4 (April 2015) . - pp 27 - 29[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 062-2015041 SL Revue Centre de documentation Revues en salle Disponible An algorithm for automated estimation of road roughness from mobile laser scanning data / Pankaj Kumar in Photogrammetric record, vol 30 n° 149 (March - May 2015)
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Titre : An algorithm for automated estimation of road roughness from mobile laser scanning data Type de document : Article/Communication Auteurs : Pankaj Kumar, Auteur ; Paul Lewis, Auteur ; Conor P. Mcelhinney, Auteur ; Alias Abdul-Rahman, Auteur Année de publication : 2015 Article en page(s) : pp 30 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données localisées 3D
[Termes IGN] indicateur de qualité
[Termes IGN] lasergrammétrie
[Termes IGN] réseau routier
[Termes IGN] rugosité de la route
[Termes IGN] semis de points
[Termes IGN] télémétrie laser mobileRésumé : (Auteur) Road roughness is the deviation of a road surface from a designed surface grade that influences safety conditions for road users. Mobile laser scanning (MLS) systems provide a rapid, continuous and cost-effective way of collecting highly accurate and dense 3D point-cloud data along a route corridor. In this paper an algorithm for the automated estimation of road roughness from MLS data is presented, where a surface grid is fitted to the lidar points associated with the road surface. The elevation difference between the lidar points and their surface grid equivalents provides residual values in height which can be used to estimate roughness along the road surface. Tests validated the new road-roughness algorithm by successfully estimating surface conditions on multiple road sections. These findings contribute to a more comprehensive approach to surveying road networks. Numéro de notice : A2015-362 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12090 Date de publication en ligne : 22/02/2015 En ligne : https://doi.org/10.1111/phor.12090 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76799
in Photogrammetric record > vol 30 n° 149 (March - May 2015) . - pp 30 - 45[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-2015011 RAB Revue Centre de documentation En réserve L003 Disponible Montmorency (Val-d’Oise, 95) : une forêt passée au laser / Fanny Trouvé in Les nouvelles de l'archéologie, vol 139 (mars 2015)PermalinkLaser scanning-based detection of morphological changes of a historical building occurred during a seismic sequence: Method and case study / Arianna Pesci in International Journal of Geomatics and Geosciences, vol 5 n° 3 (February 2015)PermalinkPermalinkPermalinkOpen source geospatial tools / Daniel McInerney (2015)PermalinkA rigorous cylinder-based self-calibration approach for terrestrial laser scanners / Ting On Chan in ISPRS Journal of photogrammetry and remote sensing, vol 99 (January 2015)PermalinkGeneration of dense 3D point clouds using a small quadcopter / Julien Li-Chee-Ming in Geomatica, vol 68 n° 4 (December 2014)PermalinkCross-correlation of diameter measures for the co-registration of forest inventory plots with airborne laser scanning data / Jean-Matthieu Monnet in Forests, vol 5 n° 9 (September 2014)PermalinkError analysis of a mobile terrestrial LiDAR system / M. Leslar in Geomatica, vol 68 n° 3 (September 2014)PermalinkMise en service d'un système de scanning mobile de la maison IGI GmbH : gestion du segment de contrôle géométrique / A. Perrissol in Géomatique suisse, vol 112 n° 8 (août 2014)Permalink