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Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest / Luka Jurjević in ISPRS Journal of photogrammetry and remote sensing, vol 169 (November 2020)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 169 (November 2020) . - pp 227 - 241 Titre : Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest Type de document : Article/Communication Auteurs : Luka Jurjević, Auteur ; Xinlian Liang, Auteur ; Mateo Gašparović, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 227 - 241 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] balayage laser [Termes descripteurs IGN] corrélation [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] échantillonnage [Termes descripteurs IGN] forêt de feuillus [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] parcelle forestière [Termes descripteurs IGN] photogrammétrie métrologique [Termes descripteurs IGN] quercus pedunculata [Termes descripteurs IGN] semis de points Résumé : (auteur) Tree height is one of the most important tree attributes in forest inventory. However, using conventional field methods to measure tree height is a laborious and time-consuming process. Despite the great interest in the past to facilitate tree height measurements, new, upcoming solutions are not yet thoroughly investigated. In this study, we investigated the applicability of different close-range remote sensing options for tree height measurement in a complex lowland deciduous forest. Six sample plots in a pedunculate oak forest were measured in detail using conventional methods. Close-range remote sensing datasets used in this study represent solutions from low-cost sensors used for hand-held personal laser scanning (PLShh), unmanned–borne laser scanning (ULS) and unmanned aerial vehicle photogrammetry (UAVimage). Each tree in the sample plots was interactively measured directly from the point cloud, and correspondence of the field- and remote sensing measured trees was verified using tree positions collected during fieldwork. Cross-comparisons of different datasets were performed to evaluate the performances of different data sources in the tree height estimation with respect to crown class, tree height and species. All remote sensing data sources correlated well, e.g. biases between remote sensing sources were around ± 1%. The field-measured tree height in general correlated well with remote sensing data sources. The uncertainties and bias of the field measurements were dependent on the tree height and crown class. Field measurements tended to underestimate codominant and intermediate trees at the approximately 1 m magnitude, whilst remote sensing data sources were robust to crown classes. Low-cost ULS used in this study, and very likely in general, may not have enough penetration capability when measuring low and mostly occluded trees, causing missed treetops. PLShh gave tree height estimates closer to the real tree height than those derived from conventional field measurements for trees above 21 m height. Numéro de notice : A2020-641 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.09.014 date de publication en ligne : 03/10/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.09.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96064 [article]

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Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches / S.M. Hamylton in International journal of applied Earth observation and geoinformation, vol 89 (July 2020)  

Public [article]  inInternational journal of applied Earth observation and geoinformation > vol 89 (July 2020) . - n° 102085 Titre : Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches Type de document : Article/Communication Auteurs : S.M. Hamylton, Auteur ; R.H. Morris, Auteur ; R.C. Carvalho, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : n° 102085 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] carte de la végétation [Termes descripteurs IGN] classification par réseau neuronal convolutif [Termes descripteurs IGN] classification pixellaire [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] Nouvelle-Galles du Sud [Termes descripteurs IGN] pesticide [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] surveillance de la végétation Résumé : (auteur) We evaluate three approaches to mapping vegetation using images collected by an unmanned aerial vehicle (UAV) to monitor rehabilitation activities in the Five Islands Nature Reserve, Wollongong (Australia). Between April 2017 and July 2018, four aerial surveys of Big Island were undertaken to map changes to island vegetation following helicopter herbicide sprays to eradicate weeds, including the creeper Coastal Morning Glory (Ipomoea cairica) and Kikuyu Grass (Cenchrus clandestinus). The spraying was followed by a large scale planting campaign to introduce native plants, such as tussocks of Spiny-headed Mat-rush (Lomandra longifolia). Three approaches to mapping vegetation were evaluated, including: (i) a pixel-based image classification algorithm applied to the composite spectral wavebands of the images collected, (ii) manual digitisation of vegetation directly from images based on visual interpretation, and (iii) the application of a machine learning algorithm, LeNet, based on a deep learning convolutional neural network (CNN) for detecting planted Lomandra tussocks. The uncertainty of each approach was assessed via comparison against an independently collected field dataset. Each of the vegetation mapping approaches had a comparable accuracy; for a selected weed management and planting area, the overall accuracies were 82 %, 91 % and 85 % respectively for the pixel based image classification, the visual interpretation / digitisation and the CNN machine learning algorithm. At the scale of the whole island, statistically significant differences in the performance of the three approaches to mapping Lomandra plants were detected via ANOVA. The manual digitisation took a longer time to perform than others. The three approaches resulted in markedly different vegetation maps characterised by different digital data formats, which offered fundamentally different types of information on vegetation character. We draw attention to the need to consider how different digital map products will be used for vegetation management (e.g. monitoring the health individual species or a broader profile of the community). Where individual plants are to be monitored over time, a feature-based approach that represents plants as vector points is appropriate. The CNN approach emerged as a promising technique in this regard as it leveraged spatial information from the UAV images within the architecture of the learning framework by enforcing a local connectivity pattern between neurons of adjacent layers to incorporate the spatial relationships between features that comprised the shape of the Lomandra tussocks detected. Numéro de notice : A2020-716 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2020.102085 date de publication en ligne : 03/03/2020 En ligne : https://doi.org/10.1016/j.jag.2020.102085 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96287 [article]

Triangulation network of 1929–1944 of the first 1:500 urban map of València / Miriam Villar-Cano in Survey review, vol 52 n° 373 (July 2020)  

Public [article]  inSurvey review > vol 52 n° 373 (July 2020) . - pp 317 - 329 Titre : Triangulation network of 1929–1944 of the first 1:500 urban map of València Type de document : Article/Communication Auteurs : Miriam Villar-Cano, Auteur ; Ángel Marqués‐Mateu, Auteur ; María Jesús Jiménez-Martínez, Auteur Année de publication : 2020 Article en page(s) : pp 317 - 329 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Triangulation [Termes descripteurs IGN] 1:500 [Termes descripteurs IGN] arpentage [Termes descripteurs IGN] carte ancienne [Termes descripteurs IGN] cartographie urbaine [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] European Terrestrial Reference System 1989 [Termes descripteurs IGN] réseau de triangulation [Termes descripteurs IGN] transformation de coordonnées [Termes descripteurs IGN] Valence (Espagne) Résumé : (auteur) Triangulation is a surveying method on which earlier maps made were based. Although the origins of the method can be traced back to the 16th century, it is still used today, with minor changes, to adjust networks observed with modern geodetic techniques. In this paper we present the geodetic survey work that was carried out for the primary triangulation network of the first 1:500 urban map of the city of València (Spain). It spanned from 1929 to 1944 and resulted in 421 maps covering about 174 square kilometres. We focus on four key elements to define the geometric framework of a map: (1) the geodetic network, (2) the cartographic projection, (3) the baseline measurements, and (4) the primary triangulation. The paper is based on the interpretation of original documents and field books recovered from the archives of the València City Council. In order to check the accuracy and consistency of the survey work, we recomputed all calculations directly from the field data, following the mathematical procedures of the time. We obtained a set of transformation parameters to convert the coordinates of 1929 to current coordinates based on the European Terrestrial Reference System of 1989 (ETRS89). Results showed that the 1929 primary triangulation angles and coordinates are accurate to 8 s of arc and 35 cm respectively, and that the coordinates transform well into the current reference system with average residuals of 26 cm across nine control points, demonstrating the high quality of the 1929 work. Numéro de notice : A2020-395 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1564599 date de publication en ligne : 03/01/2019 En ligne : https://doi.org/10.1080/00396265.2018.1564599 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95421 [article]

Advances in digital image correlation (DIC) / Jean-Noël Perie (2020)  

Public Titre : Advances in digital image correlation (DIC) Type de document : Monographie Auteurs : Jean-Noël Perie, Editeur scientifique ; Jean-Charles Passieux, Editeur scientifique Editeur : Londres : Applied Science Publishers Année de publication : 2020 Importance : 252 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-514-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] corrélation croisée normalisée [Termes descripteurs IGN] corrélation d'images [Termes descripteurs IGN] Déformation [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] étalonnage [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] pouvoir de résolution géométrique [Termes descripteurs IGN] prise de vue en accéléré [Termes descripteurs IGN] tomographie Résumé : (auteur) Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges. Note de contenu : 1- Special issue on advances in digital image correlation (DIC) 2- Measurement of super-pressure balloon deformation with simplified digital image correlation 3- A cross-dichroic-prism-based multi-perspective digital image correlation system 4- Laboratory observations of repeated interactions between ruptures and the fault bend prior to the overall stick-slip instability based on a digital image correlation method 5- Application of 3D digital image correlation for development and validation of FEM model of self-supporting arch structures 6- Experimental study on the fracture process zone characteristics in concrete utilizing DIC and AE methods 7- 3D strain and elasticity measurement of layered biomaterials by optical coherence elastography based on digital volume correlation and virtual fields method 8- 3D strain mapping of opaque materials using an improved digital volumetric speckle photography technique with X-Ray microtomography 9- Enhanced digital image correlation analysis of ruptures with enforced traction continuity conditions across interfaces 10- Application of the non-contact video gauge on the mechanical properties test for steel cable at elevated temperature 11- New four points initialization for digital image correlation in metal-sheet strain measurements 12- Dynamic response of copper plates subjected to underwater impulsive loading 13- Gradient correlation functions in digital image correlation 14- Image classification for automated image cross-correlation applications in the geosciences 15- Measurement of interlaminar tensile strength and elastic properties of composites using open-hole compression testing and digital image correlation 16- Digital image correlation applications in composite automated manufacturing, inspection, and testing 17- A method for calibrating a digital image correlation system for full-field strain measurements during large deformations Numéro de notice : 25933 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03928-515-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96241

Développement d’outils ad-hoc open source pour des applications Web cartographiques / Bruno Verchère (2020) 

Public Titre : Développement d’outils ad-hoc open source pour des applications Web cartographiques Type de document : Mémoire Auteurs : Bruno Verchère, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2020 Importance : 44 p. Format : 21 x 30 cm Note générale : Bibliographie Rapport de projet pluridisciplinaire, cycle ING2 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] Apache (serveur) [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] GitHub [Termes descripteurs IGN] intégration de données [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] QGIS [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] SIG nomade [Termes descripteurs IGN] web mapping Index. décimale : PROJET Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ce rapport présente mon stage, entièrement réalisé en télétravail, dans l’entreprise italienne Gter SRL. Il consiste en la réalisation de trois projets au cours de mes trois mois de stage. L’ensemble de ces projets se base sur le logiciel QGIS afin de préparer les données et métadonnées géographiques. Le premier travail est un comparatif d’applications SIG mobile, ayant pour objectif de trouver l’application la plus adaptée aux besoins de l’entreprise pour les relevés sur le terrain. Cette tâche est suivie par la mise en place d’une série temporelle dans une application Web cartographique créée avec LizMap. Différentes approchent ont aboutit sur le développement d’un outil ad-hoc open source de visualisation d’une série temporelle. Le dernier projet cherche à intégrer des métadonnées de couche QGIS dans LizMap avec pycsw. L’étude a amené au développement d’un transformateur Python des métadonnées QGIS en enregistrements CSW et d’un client pycsw pour LizMap. Certains de ces travaux ont conduit à une demande de contribution à des projets open source sur GitHub. Note de contenu : Introduction 1. Présentation de Gter SRL 1.1 L’entreprise 1.2 Organisation 1.3 Services et clients 2. Technologies utilisées 2.1 SIG mobile 2.2 Apache HTTP Server 2.3 LizMap Web Client 2.4 PyCSW 3. Travaux réalisés 3.1 Comparatif d’applications SIG mobile 3.2 Séries temporelles dans LizMap 3.3 Intégration de métadonnées QGIS à LizMap avec pycsw Numéro de notice : 26381 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Gter SRL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95851

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Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest / Yunsheng Wang in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)  

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Soil moisture assessment in grasslands using optical remote sensing data / Luc Beraud (2019) 

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Polarimetric radar vegetation index for biomass estimation in desert fringe ecosystems / Jisung Geba Chang in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)  

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Cartographie des forêts humides dans la région d’El Kala (Algérie) à l’aide des outils d’observation de la Terre / Asma Kahli in Revue d'écologie, vol 73 n° 4 (octobre - décembre 2018)  

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Predicting tree diameter distributions from airborne laser scanning, SPOT 5 satellite, and field sample data in the perm region, Russia / Jussi Peuhkurinen in Forests, vol 9 n° 10 (October 2018)  

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Inference on forest attributes and ecological diversity of trees outside forest by a two-phase inventory / Marco Marchetti in Annals of Forest Science [en ligne], vol 75 n° 2 (June 2018)  

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Remote estimation of canopy leaf area index and chlorophyll content in Moso bamboo (Phyllostachys edulis (Carrière) J. Houz.) forest using MODIS reflectance data / Xiaojun Xu in Annals of Forest Science [en ligne], vol 75 n° 1 (March 2018)  

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Un inventaire forestier multisource pour la gestion des territoires / Dinesh Babu Irulappa Pillai Vijayakumar (2018) 

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Cartographie de la vulnérabilité des bâtiments au risque sismique / Valerio Baiocchi in Géomatique expert, n° 119 (novembre - décembre 2017)

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A spatial dataset of forest mensuration collected in black pine plantations in central Italy / Paolo Cantiani in Annals of Forest Science [en ligne], vol 74 n° 3 (September 2017)  

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