4-Publications IGN 2020
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IWV retrieval from ground and shipborne GPS receivers during NAWDEX [diaporama] / Pierre Bosser (2020)
Titre : IWV retrieval from ground and shipborne GPS receivers during NAWDEX [diaporama] Type de document : Article/Communication Auteurs : Pierre Bosser , Auteur ; Olivier Bock , Auteur ; Nicolas Laurain, Auteur Editeur : Munich [Allemagne] : European Geosciences Union EGU Année de publication : 2020 Projets : 1-Pas de projet / Conférence : EGU 2020, General Assembly, Sharing Geoscience 04/05/2020 08/05/2020 en ligne OA program & abstracts only Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] coordonnées GPS
[Termes IGN] données GPS
[Termes IGN] données météorologiques
[Termes IGN] teneur intégrée en vapeur d'eauRésumé : (auteur) For the documentation of time and space variations of water vapor in atmosphere during the Nawdex campaign (North Atlantic, Autumn 2016), a ground network of more than 1200 coastal continuously operation reference GNSS stations has been analyzed. This network spreads from Caribbeans to Morocco through Greenland. Retrieved IWV have been used to evaluate ERAI and ERA5 reanalysis and highlight improvements made by ERA5 (-0.2 +/- 1.6 kg/m2 vs -0.3 +/- 2.1 kg/m2 overall). They are also used to describe high impact weather events that took place during the experiment. The analysis of this ground GNSS network has been completed with the IWV retrieved from GPS data acquired by the French RV Atalante which cruises in the area during the experiment. IWV from shipborne receiver are consistent with both ERAI and ERA5 reanalysis (1.0 +/- 3.2 kg/m2 and 1.3 +/- 2.0 kg/m2 respectively) ; shipborne IWV also agree with IWV from nearby ground GNSS stations (-0.4 +/- 0.9 kg/m2). These results confirm the quality of shipborne IWV retrievals and opens up prospects for use in climatology and meteorology. Numéro de notice : C2020-021 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/egusphere-egu2020-6956 Date de publication en ligne : 16/10/2020 En ligne : https://doi.org/10.5194/egusphere-egu2020-6956 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96578 Collaborative user oriented metadata production on EuroSDR Geometadatalabs platform [paper and diaporama] / Bénédicte Bucher (2020)
Titre : Collaborative user oriented metadata production on EuroSDR Geometadatalabs platform [paper and diaporama] Type de document : Article/Communication Auteurs : Bénédicte Bucher , Auteur ; Marie-Dominique Van Damme , Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2020 Collection : EuroSDR Workshop report Projets : URCLIM / Masson, Valéry Conférence : SDQ 2020, 3rd International Workshop on Spatial Data Quality 28/01/2020 29/01/2020 La Vallette Malte Open Access Proceedings Importance : pp 69 - 72 Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] métadonnées
[Termes IGN] métadonnées géographiques
[Termes IGN] plateforme collaborative
[Termes IGN] réutilisation des donnéesNuméro de notice : C2020-023 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Date de publication en ligne : 01/12/2020 En ligne : https://eurogeographics.org/wp-content/uploads/2019/06/7-SDQ2020-GeoMetadata-Lab [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96898 Documents numériques
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Collaborative user oriented metadata production ... - pdf éditeurAdobe Acrobat PDF Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds / Thomas Chaton (2020)
Titre : Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds Type de document : Article/Communication Auteurs : Thomas Chaton, Auteur ; Nicolas Chaulet, Auteur ; Sofiane Horache, Auteur ; Loïc Landrieu , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2020 Projets : AI4GEO / Masson, Valéry Conférence : 3DV 2020, International Conference on 3D Vision 25/11/2020 27/11/2020 Fukuoka + en ligne Japon Proceedings IEEE Importance : 12 p. - n° 282 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] apprentissage profond
[Termes IGN] cadre conceptuel
[Termes IGN] code source libre
[Termes IGN] données localisées 3D
[Termes IGN] reproductibilité
[Termes IGN] réseau neuronal profond
[Termes IGN] semis de pointsRésumé : (auteur) We introduce Torch-Points3D, an open-source framework designed to facilitate the use of deep networks on 3D data. Its modular design, efficient implementation, and user-friendly interfaces make it a relevant tool for research and productization alike. Beyond multiple quality-of-life features, our goal is to standardize a higher level of transparency and reproducibility in 3D deep learning research, and to lower its barrier to entry. In this paper, we present the design principles of Torch-Points3D, as well as extensive benchmarks of multiple state-of-the-art algorithms and inference schemes across several datasets and tasks. The modularity of Torch-Points3D allows us to design fair and rigorous experimental protocols in which all methods are evaluated in the same conditions. The Torch-Points3D repository : https://github.com/nicolas-chaulet/torch-points3d. Numéro de notice : C2020-019 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/3DV50981.2020.00029 Date de publication en ligne : 19/01/2021 En ligne : https://doi.org/10.1109/3DV50981.2020.00029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96456
Titre : Geovisualization: multidimensional exploration of the territory Type de document : Article/Communication Auteurs : Sidonie Christophe , Auteur Editeur : Setúbal [Portugal] : Science and Technology Publications - Scitepress Année de publication : 2020 Projets : 1-Pas de projet / Masson, Valéry Conférence : IVAPP 2020, 11th International Conference on Information Visualization Theory and Applications 27/02/2020 29/02/2020 La Vallette Malte Proceedings ScitePress Importance : pp 325 - 332 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de données
[Termes IGN] analyse multidimensionnelle
[Termes IGN] cognition
[Termes IGN] données hétérogènes
[Termes IGN] données spatiotemporelles
[Termes IGN] immersion
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) The purpose of this position paper is to emphasize the remaining challenges for geovisualization in an evolutive context of data, users and spatio-temporal problems to solve in an interdisciplinary approach. Geovisualization is the visualization of spatio-temporal data, phenomena and dynamics on earth, based on the user interaction with heterogeneous data, and their capacities of perception and cognition. This implies to bring closer together knowledge, concepts and models from related scientific visualization domains, for a better understanding, interpretation and analysis of spatio-temporal phenomena on earth. We currently face and cross several types of complexities, regarding spaces, data, models and tools. Our position here, based on past and on-going works, as first proofs of concept, is to model a multidimensional exploration of the territory, because integrating explorations of uses, styles, interaction and immersion capacities, until various ’points of view’ on the represented spatio-temporal phenomenon. Numéro de notice : C2020-001 Affiliation des auteurs : LASTIG COGIT (2012-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5220/0009355703250332 En ligne : https://doi.org/10.5220/0009355703250332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94611
Titre : Towards SDG 4: trade-offs for geospatial open educational resources Type de document : Article/Communication Auteurs : Serena Coetzee, Auteur ; Victoria Rautenbach, Auteur ; Arzu Çöltekin, Auteur ; Christopher Pettit, Auteur ; Marguerite Madden, Auteur ; Sidonie Christophe , Auteur ; Ochirkhuyag Lkhamjav, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B5-2020 Projets : 1-Pas de projet / Masson, Valéry Conférence : ISPRS 2020, Commission 5, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 5 Importance : pp 199 - 205 Format : 21 x 30 cm Note générale : bibliographie
This research was supported by a grant from the 2018 ISPRS Education and Capacity Building Initiatives.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Formation
[Termes IGN] catalogue de données localisées
[Termes IGN] formation initiale
[Termes IGN] métadonnées
[Termes IGN] métadonnées géographiques
[Termes IGN] ressources documentairesRésumé : (auteur) Through the ISPRS scientific initiative presented in this paper, we aim to make geospatial educational resources available and discoverable to those who teach and those who want to learn. In earlier work, we designed and implemented a prototype catalogue for geospatial educational resources, aimed at a target audience in higher education. The success of search and discovery in any catalogue relies heavily on the metadata that describes catalogue entries. Initial feedback showed that users find it difficult to use some of the metadata elements in the prototype to describe their teaching materials. In order to better understand their difficulties and further refine the metadata for describing educational resources that are used for geospatial purposes specifically, we asked a number of participants to describe geospatial educational resources according to four sets of metadata attributes. This paper presents the results of the study and recommends a set of metadata attributes that are specifically useful for geospatial educational resources. Implementation trade-offs are discussed, e.g., deciding between metadata attributes that are very specific or more generic, and catalogue entries that are immediately available to Web search engines without any quality checks vs. catalogue entries that are moderated by a community of educators before publishing them. By providing metadata about geospatial educational resources, the international geospatial community can contribute to the UN Sustainable Development Goal 4 to ensure inclusive and equitable quality education and to promote lifelong learning opportunities for all. Numéro de notice : C2020-010 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B5-2020-199-2020 Date de publication en ligne : 24/08/2020 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-199-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95661 Constraint based evaluation of generalized images generated by deep learning / Azelle Courtial (2020)PermalinkC band radar crops monitoring at high temporal frequency: first results of the MOCTAR campaign / Pierre-Louis Frison (2020)PermalinkOn the joint exploitation of optical and SAR satellite imagery for grassland monitoring / Anatol Garioud (2020)PermalinkPermalinkPermalinkPermalinkPermalinkPotential of crowdsourced traces for detecting updates in authoritative geographic data / Stefan Ivanovic (2020)PermalinkPermalinkPermalink