Centre dedocumentation
scientifique

Experte image aérienne... / Laurent Polidori in Géomètre, n° 2179 (avril 2020)

Public [article]  inGéomètre > n° 2179 (avril 2020) . - pp 44 - 45 Titre : Experte image aérienne... Type de document : Article/Communication Auteurs : Laurent Polidori, Auteur Année de publication : 2020 Article en page(s) : pp 44 - 45 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] photographie aérienne Résumé : (Auteur) L'avantage des photographies aériennes par rapport à de simples mesures est qu'au-delà des amplitudes de déplacements, elles permettent d'en comprendre la nature et ainsi d'éclairer pleinement l'expertise. Numéro de notice : A2020-179 Thématique : IMAGERIE Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94847 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
063-2020041	SL	Revue	Centre de documentation	Revues en salle	Disponible

Applications of photogrammetry for environmental research / Francesco Mancini (2020)  

Public contenu dans Directory of Open Access Books DOAB / Directory of Open Access Books DOAB   Titre : Applications of photogrammetry for environmental research Type de document : Monographie Auteurs : Francesco Mancini, Editeur scientifique ; Riccardo Salvini, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 154 p. ISBN/ISSN/EAN : 978-3-03928-181-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] image satellite [Termes descripteurs IGN] photographie aérienne [Termes descripteurs IGN] populus (genre) [Termes descripteurs IGN] risque environnemental Résumé : (Editeur) The book presents a collection of papers focused on recent progress in key areas of photogrammetry for environmental research. Applications oriented to the understanding of natural phenomena and quantitative processes using dataset from photogrammetry (from satellite to unmanned aerial vehicle images) and terrestrial laser scanning, also by a diachronic approach, are reported. The book covers topics of interest of many disciplines from geography, geomorphology, engineering geology, geotechnology, including landscape description and coastal studies. Mains issues faced by the book are related to applications on coastal monitoring, using multitemporal aerial images, and investigations on geomorphological hazard by the joint use of proximal photogrammetry, terrestrial and aerial laser scanning aimed to the reconstruction of detailed surface topography and successive 2D/3D numerical simulations for rock slope stability analyses. Results reported in the book bring into evidence the fundamental role of multitemporal surveys and reliable reconstruction of morphologies from photogrammetry and laser scanning as support to environmental researches. Numéro de notice : 26302 Thématique : FORET/IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03928-181-7 date de publication en ligne : 30/01/2020 En ligne : https://doi.org/10.3390/books978-3-03928-181-7 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95035

Potential of UAV photogrammetry for characterization of forest canopy structure in uneven-aged mixed conifer–broadleaf forests / Sadeepa Jayathunga in International Journal of Remote Sensing IJRS, vol 41 n° 1 (01 - 08 janvier 2020)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 41 n° 1 (01 - 08 janvier 2020) . - pp 53 - 73 Titre : Potential of UAV photogrammetry for characterization of forest canopy structure in uneven-aged mixed conifer–broadleaf forests Type de document : Article/Communication Auteurs : Sadeepa Jayathunga, Auteur ; Toshiaki Owari, Auteur ; Satoshi Tsuyuki, Auteur ; Yasumasa Hirata, Auteur Année de publication : 2020 Article en page(s) : pp 53 - 73 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] couvert forestier [Termes descripteurs IGN] forêt feuillue [Termes descripteurs IGN] gestion forestière [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] image de drone [Termes descripteurs IGN] photogrammétrie aérienne [Termes descripteurs IGN] photographie aérienne latérale [Termes descripteurs IGN] pinophyta [Termes descripteurs IGN] structure d'un peuplement forestier Résumé : (auteur) Forest canopy structure is an important parameter in multipurpose forest management. An understanding of forest structure plays a particularly important role in the management of uneven-aged forests. The identification of vertical and horizontal variations in forest canopy structure using a ground-based survey is resource intensive, hence often demands for alternative data sources. In this study, one of the advanced remote sensing (RS) techniques, i.e. digital aerial photogrammetry was used to characterize forest canopy structure in a mixed conifer–broadleaf forest. We used aerial imagery acquired with a fixed-wing unmanned aerial vehicle (UAV) platform to produce RS metrics that could be used to classify and map forest structure types at landscape scale. Our results demonstrated that few structural and spectral metrics derived from UAV photogrammetric data, e.g. mean height, standard deviation of height, canopy cover, and percentage broadleaf vegetation cover, could characterize the forest structure across landscapes, particularly at the forest management compartment level, in a limited amount of time. We used cluster analysis for classification of forest structure types and identified five forest structure classes with varying levels of forest canopy structural complexity: (1) short, open-canopy, conifer-dominated structure; (2) short, dense-canopy, broadleaf-dominated structure; (3) tall, closed-canopy, broadleaf-dominated structure; (4) very tall, closed-canopy, conifer-dominated structure with a relatively high degree of variation in canopy height; and (5) very tall, closed-canopy, conifer-dominated structure with a relatively low degree of variation in canopy height. These classes showed relationships with forest management activities (e.g. selection harvesting) and natural disturbances (e.g. typhoon damage). Spatial distribution of forest canopy structural complexity that was revealed in this study is capable of providing important information for forest management planning and habitat modelling. Further, the simple, and flexible data-driven method used in this study to characterize forest structure has the potential to be applied with necessary changes over larger landscapes and different forest types for characterizing and mapping forest structural complexity. Numéro de notice : A2020-210 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2019.1648900 date de publication en ligne : 01/08/2019 En ligne : https://doi.org/10.1080/01431161.2019.1648900 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94892 [article]

Forest inventory sensitivity to UAS-based image processing algorithms / Bonifasius Maturbongs in Annals of forest research, vol 62 n° 1 (January - June 2019)  

Public [article]  inAnnals of forest research > vol 62 n° 1 (January - June 2019) . - pp 87 - 108 Titre : Forest inventory sensitivity to UAS-based image processing algorithms Type de document : Article/Communication Auteurs : Bonifasius Maturbongs, Auteur ; Michael G. Wing, Auteur ; Bogdan M. Strimbu, Auteur ; Jon Burnett, Auteur Année de publication : 2019 Article en page(s) : pp 87 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] gestion forestière [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] image de drone [Termes descripteurs IGN] inventaire forestier (techniques et méthodes) [Termes descripteurs IGN] photographie aérienne [Termes descripteurs IGN] pseudotsuga menziesii [Termes descripteurs IGN] segmentation dynamique [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] structure-from-motion Résumé : (auteur) Frequent and accurate estimation of forest structure parameters, such as number of trees per hectare or total height, are mandatory for sustainable forest management. Unmanned aircraft system (UAS) equipped with inexpensive sensors can be used to monitor and measure forest structure. The detailed information provided by the UAS allows tree level forest inventory. However, tree identification depends on a variety of parameters defining the image processing and tree segmentation algorithms. The objective of our study was to identify parameter combinations that accurately delineated trees and their heights. We evaluated the impact of different tree segmentation and point cloud generation algorithms on forest inventory from imagery collected with a UAS over a mature Douglas-fir plantation forest. We processed the images with two commonly used commercial software packages, Agisoft PhotoScan and Pix4Dmapper, both implementing image processing algorithms called Structure from Motion. For each software we generated photogrammetric point clouds by varying the parameters defining the implementation. We segmented individual trees and heights using three tree algorithms: Variable Window Filter, Graph-Theoretical, and Watershed Segmentation. We assessed the impact of image processing algorithms on forest inventory by comparing the estimated trees with trees manually identified from the point clouds. We found that the type of tree segmentation and image processing algorithms have a significant effect in accurately identifying trees. For tree height estimation, we found strong evidence that image processing algorithms had significant effects, whereas tree segmentation algorithms did not significantly affect tree height estimation.These findings may be of interest to others that are using high-resolution spatial imagery to estimate forest inventory parameters. Numéro de notice : A2019-580 Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.15287/afr.2018.1282 date de publication en ligne : 30/07/2019 En ligne : http://dx.doi.org/10.15287/afr.2018.1282 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94487 [article]

Interactive image geolocalization in an immersive web application / Mouna Harrach (2019)  

Public Titre : Interactive image geolocalization in an immersive web application Type de document : Article/Communication Auteurs : Mouna Harrach, Auteur ; Alexandre Devaux , Auteur ; Mathieu Brédif , Auteur Congrès : Congrès: ISPRS 2019, 8th International Workshop 3D-ARCH 3D Virtual Reconstruction and Visualization of Complex Architectures (6 - 8 février 2019; Bergame, Italie), Commanditaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2019 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLII-2-W9 Projets : Alegoria / Gouet-Brunet, Valérie Importance : 4 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] application web [Termes descripteurs IGN] collection [Termes descripteurs IGN] conservation du patrimoine [Termes descripteurs IGN] géoréférencement [Termes descripteurs IGN] iconographie [Termes descripteurs IGN] interactivité [Termes descripteurs IGN] MicMac [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] patrimoine culturel [Termes descripteurs IGN] photographie aérienne [Termes descripteurs IGN] photographie numérisée [Termes descripteurs IGN] photographie terrestre [Termes descripteurs IGN] webGL Résumé : (auteur) For a long time people have been interested in the past and history and how we can go back in time using a time machine. And while we cannot invent a time machine, at least not yet, we can create a virtual one. Our ”virtual” time machine is an interactive web application that allows users to browse through and navigate within historical images (aerial/terrestrial photographs or postcards) that are projected on a 3D photogrammetric model (point cloud or 3D mesh), thus going back in time and interacting with historical 3D models and images. This was achieved by adopting a semiautomatic approach where the user identifies first 6 to 8 hints on the historical image and the photogrammetric model, then this information is used as an entry data to a photogrammetric software that computes the pose and orientation of the image. The purpose of this work, which is part of the ALEGORIA project, is to preserve cultural heritage, to give the users the opportunity to go back in time and study history of a place or simply discover howtheir hometown looked some years ago. Numéro de notice : C2019-030 Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-2-W9-377-2019 date de publication en ligne : 31/01/2019 En ligne : https://doi.org/10.5194/isprs-archives-XLII-2-W9-377-2019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94597

How to calibrate historical aerial photographs : a change analysis of naturally dynamic boreal forest landscapes / Niko Kulha in Forests, vol 9 n° 10 (October 2018)  

Permalink

Precise DEM extraction from Svalbard using 1936 high oblique imagery / Luc Girod in Geoscientific instrumentation methods and data systems, vol 7 n° 4 ([01/10/2018])    

Permalink

Vers une remise en géométrie automatique des prises de vue aériennes historiques photogrammétriques / Arnaud Le Bris in Revue Française de Photogrammétrie et de Télédétection, n° 217-218 (juin - septembre 2018)

Permalink

Generating terrestrial glacier views from historic airphotos for comparison with contemporary ground photographs / Marion Holst (2018) 

Permalink

Les cartographes du désert / Paul Courbon in XYZ, n° 151 (juin - août 2017)

Permalink

Agricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests / M.F.A. Vogels in International journal of applied Earth observation and geoinformation, vol 54 (February 2017)  

Permalink

Relevé topographique des environnements urbains [article originellement paru dans le numéro mai/juin 2016 de la revue italienne GEOMedia] / Luigi Colombo in Géomatique expert, n° 113 (novembre - décembre 2016)

Permalink

Des nouveaux moyens et des opportunités / Laurent Polidori in Géomètre, n° 2137 (juin 2016)

Permalink

1936 oblique aerial images / Frédérique Couderette (2016) 

Permalink

The spatiotemporal dynamics of forest–heathland communities over 60 years in Fontainebleau, France / Samira Mobaied in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)  

Permalink