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Deriving 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)
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Titre : Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Erik Naesset, Auteur ; Terje Gobakken, Auteur Année de publication : 2014 Article en page(s) : pp 57 -66 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] troncRésumé : (Auteur)A computational canopy volume (CCV) based on airborne laser scanning (ALS) data is proposed to improve predictions of forest biomass and other related attributes like stem volume and basal area. An approach to derive the CCV based on computational geometry, topological connectivity and numerical optimization was tested with sparse-density, plot-level ALS data acquired from 40 field sample plots of 500–1000 m2 located in a boreal forest in Norway. The CCV had a high correspondence with the biomass attributes considered when derived from optimized filtrations, i.e. ordered sets of simplices belonging to the triangulations based on the point data. Coefficients of determination (R2) between the CCV and total above-ground biomass, canopy biomass, stem volume, and basal area were 0.88–0.89, 0.89, 0.83–0.97, and 0.88–0.92, respectively, depending on the applied filtration. The magnitude of the required filtration was found to increase according to an increasing basal area, which indicated a possibility to predict this magnitude by means of ALS-based height and density metrics. A simple prediction model provided CCVs which had R2 of 0.77–0.90 with the aforementioned forest attributes. The derived CCVs always produced complementary information and were mainly able to improve the predictions of forest biomass relative to models based on the height and density metrics, yet only by 0–1.9 percentage points in terms of relative root mean squared error. Possibilities to improve the CCVs by a further analysis of topological persistence are discussed. Numéro de notice : A2014-384 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73811
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 57 -66[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using dempster–shafer theory / Vahideh Saeidi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
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Titre : Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using dempster–shafer theory Type de document : Article/Communication Auteurs : Vahideh Saeidi, Auteur ; Biswajeet Pradhan, Auteur ; O. Idrees Mohammed, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6017 - 6025 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] image SPOT 5
[Termes IGN] indice de végétation
[Termes IGN] théorie de Dempster-ShaferRésumé : (Auteur) This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse multisensor data for land-cover feature extraction. Over the years, researchers have focused on DST for a variety of applications. However, less attention has been given to generate and interpret probability, certainty, and conflict maps. Moreover, quantitative assessment of DST performance is often overlooked. In this paper, for implementation of DST, two main types of data were used: multisensor data such as Light Detection and Ranging (LiDAR) and multispectral satellite imagery [Satellite Pour l'Observation de la Terre 5 (SPOT 5)]. The objectives are to classify land-cover types from fused multisensor data using DST, to quantitatively assess the accuracy of the classification, and to examine the potential of slope data derived from LiDAR for feature detection. First, we derived the normalized difference vegetation index (NDVI) from SPOT 5 image and the normalized digital surface model (DSM) (nDSM) from LiDAR by subtracting the digital terrain model from the DSM. The two products were fused using the DST algorithm, and the accuracy of the classification was assessed. Second, we generated a surface slope from LiDAR and fused it with NDVI. Subsequently, the classification accuracy was assessed using an IKONOS image of the study area as ground truth data. From the two processing stages, the NDVI/nDSM fusion had an overall accuracy of 88.7%, while the NDVI/slope fusion had 75.3%. The result indicates that NDVI/nDSM integration performed better than NDVI/slope. Although the overall accuracy of the former is better than the latter (NDVI/slope), the contribution of individual class reveals that building extraction from fused slope and NDVI performed poorly. This study proves that DST is a time- and cost-effective method for accurate land-cover feature identification and extraction without the need for a prior knowledge of the scene. Furthermore, the ability to generate other products like certainty, conflict, and maximum probability maps for better visual understanding of the decision process makes it more reliable for applications such as urban planning, forest management, 3-D feature extraction, and map updating. Numéro de notice : A2014-488 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2294398 En ligne : https://doi.org/10.1109/TGRS.2013.2294398 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74077
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6017 - 6025[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible Integration of Lidar and Landsat to estimate forest canopy cover in coastal British Columbia / Oumer S. Ahmed in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 10 (October 2014)
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Titre : Integration of Lidar and Landsat to estimate forest canopy cover in coastal British Columbia Type de document : Article/Communication Auteurs : Oumer S. Ahmed, Auteur ; Steven E. Franklin, Auteur ; Michael A. Wulder, Auteur Année de publication : 2014 Article en page(s) : pp 953 - 961 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] canopée
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] image Landsat
[Termes IGN] occupation du sol
[Termes IGN] PinophytaRésumé : (auteur) Airborne Light Detection and Ranging (lidar) data provide useful measurements of forest canopy structure but are often limited in spatial coverage. Satellite remote sensing data from Landsat can provide extensive spatial coverage of generalized forest information. A forest survey approach that integrates airborne lidar and satellite data would potentially capitalize upon these distinctive characteristics. In this study in coastal forests of British Columbia, the main objective was to determine the potential of Landsat imagery to accurately estimate forest canopy cover measured from small-footprint airborne lidar data in order to expand the lidar measurements to a larger area. Landsat-derived Tasseled Cap Angle (TCA) and spectral mixture analysis (SMA) endmember fractions (i.e., sunlit canopy, non-phofosynthetic vegetation (NPV), shade and exposed soil) were compared to lidar-derived canopy cover estimates. Pixel-based analysis and object-based area-weighted error calculations were used to assess regression model performance. The best canopy cover estimate was obtained (in the object-based deciduous forest models) with a mean object size (MOS) of 2.5 hectares (adjusted R2 = O.86 and RMSE = 0.28). Overall, lower canopy cover estimation accuracy was obtained for coniferous forests compared to deciduous forests in both the pixel and object-based approaches. Numéro de notice : A2014-672 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.10.953 En ligne : https://doi.org/10.14358/PERS.80.10.953 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75152
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 10 (October 2014) . - pp 953 - 961[article]Measurements of forest biomass change using P-Band synthetic aperture radar backscatter / Gustaf Sandberg in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
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Titre : Measurements of forest biomass change using P-Band synthetic aperture radar backscatter Type de document : Article/Communication Auteurs : Gustaf Sandberg, Auteur ; Lars M.H. Ulander, Auteur ; Jörgen Wallerman, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6047 - 6061 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] bande P
[Termes IGN] biomasse
[Termes IGN] détection de changement
[Termes IGN] données laser
[Termes IGN] forêt boréale
[Termes IGN] radar à antenne synthétique
[Termes IGN] rétrodiffusion
[Termes IGN] Suède
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) Methods to estimate forest biomass change have been investigated using experimental P-band synthetic aperture radar (SAR) data from the recent airborne campaigns BioSAR 2007 and BioSAR 2010 conducted over a hemiboreal test site in southern Sweden. Regression models based on backscatter change were developed using reference biomass change maps derived from high-density laser scanning data. Different regression models were developed for linear, square root, and logarithmic biomass change scales. The models were compared to the change maps based on laser data using twofold cross-validation, and estimation errors were evaluated using six 80 m by 80 m plots with detailed in situ measurements. The results indicate that the root-mean-square error of biomass change estimates based on P-band SAR backscatter data is about 15% or 20 t/ha. This suggests that not only clear-cuts but also growth and thinning can be measured. Simulations were performed in order to evaluate the possibility of using a spaceborne P-band SAR for measurements of forest biomass change. The simulations show that, with 64 equivalent number of looks (ENL) and a 50% change in biomass, it is possible to correctly indicate whether the forest has gained or lost biomass. Similarly, for a biomass loss of more than 75%, a correct indication of the sign of biomass change can be achieved with only 8 ENL. Numéro de notice : A2014-479 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2294684 En ligne : https://doi.org/10.1109/TGRS.2013.2294684 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74060
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6047 - 6061[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible Now 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)
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Titre : Now you see it… Now you don’t: Understanding airborne mapping LiDAR collection and data product generation for archaeological research in Mesoamerica Type de document : Article/Communication Auteurs : Juan Fernandez-Diaz, Auteur ; William E. Carter, Auteur ; Ramesh L. Shrestha, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 9951 - 10001 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] site archéologiqueRésumé : (auteur) In this paper, we provide a description of airborne mapping LiDAR, also known as airborne laser scanning (ALS), technology and its workflow from mission planning to final data product generation, with a specific emphasis on archaeological research. ALS observations are highly customizable, and can be tailored to meet specific research needs. Thus it is important for an archaeologist to fully understand the options available during planning, collection and data product generation before commissioning an ALS survey, to ensure the intended research questions can be answered with the resultant data products. Also this knowledge is of great use for the researcher trying to understand the quality and limitations of existing datasets collected for other purposes. Throughout the paper we use examples from archeological ALS projects to illustrate the key concepts of importance for the archaeology researcher. Numéro de notice : A2014-773 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs6109951 En ligne : http://www.mdpi.com/2072-4292/6/10/9951 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76427
in Remote sensing > vol 6 n° 10 (October 2014) . - pp 9951 - 10001[article]Combinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 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)
PermalinkAssessing the potential for leaf-off LiDAR data to model canopy closure in temperate deciduous forests / Jason R. Parent in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
PermalinkBig spatial data analytics / Colin Henderson in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)
PermalinkComparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves / Rubén Valbuena in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
PermalinkDéveloppement et exploitation d'un produit de type "image solide". Application à l'analyse géostructurale des ouvrages rocheux de la SNCF / Antoine Gozé in XYZ, n° 140 (septembre - novembre 2014)
PermalinkError analysis of a mobile terrestrial LiDAR system / M. Leslar in Geomatica, vol 68 n° 3 (September 2014)
PermalinkFrankenstein's data / Keiran Millard in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)
PermalinkGenerating pit-free canopy height models from airborne lidar / Anahita Khosravipour in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 9 (September 2014)
PermalinkGeoint: of the people, by the people, for the people / Anonyme in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)
PermalinkNeogeography and preparedness for real-to-virtual world knowledge transfer: conceptual steps to Minecraft Malta / Saviour Formosa in Future internet, vol 6 n° 3 (September 2014)
PermalinkQuantification of L-band InSAR coherence over volcanic areas using LiDAR and in situ measurements / Mélanie Arab-Sedze in Remote sensing of environment, vol 152 (September 2014)
PermalinkPermalinkRony Gal : Evolution et avenir des produits ESRI / Anonyme in Géomatique expert, n° 100 (01/09/2014)
PermalinkA structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 2 (September 2014)
PermalinkUtilisation de la 3D à Metz-métropole (2) / Thomas Dalstein in Géomatique expert, n° 100 (01/09/2014)
PermalinkCombining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades / Caiyun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)
PermalinkEstimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)
PermalinkMapping fuels at the wildland-urban interface using colour ortho-images and Lidar data / Melissa F. Rosa in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)
PermalinkAutomatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle / Eunju Kwak in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
PermalinkExploitation de relevés scanner 3D dans un SIG / Joris Vidalenche in Géomatique expert, n° 99 (01/07/2014)
PermalinkGeospatial collaboration in the cloud / Patrick Collins in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)
PermalinkGround and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces / Domen Mongus in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
PermalinkL'intégration du scanner 3D dans la technologie BIM / Maxime Romain De La Touche in Géomatique expert, n° 99 (01/07/2014)
PermalinkProcedural modeling in 3D GIS environment / Eva Tsiliakou in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)
PermalinkRecalage rigide de relevés laser par mise en correspondance robuste basée sur des segments / Martyna Poreba in Revue Française de Photogrammétrie et de Télédétection, n° 207 (Juillet 2014)
PermalinkScalable multi-platform distribution of spatial 3D contents / Jan Klimke in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)
PermalinkThe promise of discrete global grid systems / Matthew B.J. Purss in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)
PermalinkTowards a 3D spatial urban energy modelling approach / Jean-Marie Bahu in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)
PermalinkPermalinkAn efficient approach to load balancing of vector maps in cyberGIS cluster environment / Mingqiang Guo in Geomatica, vol 68 n° 2 (June 2014)
PermalinkAssessing tree dendrometrics in young regenerating plantations using terrestrial laser scanning / Ying Li in Annals of Forest Science, vol 71 n° 4 (June 2014)
PermalinkL'Atlas des patrimoines : une entrée privilégiée sur le domaine patrimonial / Geneviève Pinçon in Cartes & Géomatique, n° 220 (juin - août 2014)
PermalinkCartographie du risque d'inondation : réévaluation de la géomatique par rapport à l'hydraulique / Amaury Valorge in Géomatique expert, n° 98 (01/06/2014)
PermalinkDu passé au présent : Intégration de données topographiques extraites des cartes de Cassini / Benoit Costes in Revue internationale de géomatique, vol 24 n° 2 (juin - août 2014)
PermalinkSimuler les évolutions urbaines à l'aide de données géographiques urbaines 3D / Mickaël Brasebin in Revue internationale de géomatique, vol 24 n° 2 (juin - août 2014)
PermalinkUrban-Tree-Attribute update using multisource single-tree inventory / Ninni Saarinen in Forests, vol 5 n° 5 (May 2014)
PermalinkBayesian approach to tree detection based on airborne laser scanning data / Timo Lähivaara in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
PermalinkStepwise decomposition of full-waveform data based on Levenberg Marquardt / Pengcheng Li in Studies in Surveying and Mapping Science, vol 2 (2014)
PermalinkWetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
PermalinkAn algebra for spatiotemporal data: From observations to events / Karine Reis Ferreira in Transactions in GIS, vol 18 n° 2 (April 2014)
PermalinkEgalisation radiométrique de nuages de points 3D issus de corrélation dense / Luc Girod in Revue Française de Photogrammétrie et de Télédétection, n° 206 (Avril 2014)
PermalinkGeostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
PermalinkSimulation-based total energy demand estimation of buildings using semantic 3D city models / Robert Kaden in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)
Permalink3D, Bâtiment et territoire, un réseau pour la 3D / Philippe Thébaud in XYZ, n° 138 (mars - mai 2014)
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