4-Publications IGN 2020
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Geovisualization and harmonic analysis for the exploratory search of localized cyclic recurrences in spatio-temporal event data / Jacques Gautier in Geomatica, vol 74 n° 3 (September 2020)
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Titre : Geovisualization and harmonic analysis for the exploratory search of localized cyclic recurrences in spatio-temporal event data Type de document : Article/Communication Auteurs : Jacques Gautier , Auteur ; Paule-Annick Davoine, Auteur ; Claire Cunty, Auteur
Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : pp 131 - 153 Note générale : bibliographie
This research was funded by the Region Auvergne-Rhône-Alpes.Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] analyse harmonique
[Termes IGN] base de données spatiotemporelles
[Termes IGN] distribution spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] événement
[Termes IGN] exploration de données géographiques
[Vedettes matières IGN] GéovisualisationMots-clés libres : GrAPHiST Résumé : (auteur) Many geovisualization environments integrate graphical representations of time. Some of them include representation of both linear and cyclic aspects of time, providing an exploratory analysis of spatio-temporal data through several temporal cyclic scales. However, few of them provide an exploratory analysis of localized cyclic recurrences in spatio-temporal data. Ad hoc temporal diagrams, representing both linear and cyclic aspects of time, provide a visual search for cyclic recurrences in temporal data when the possibility is left to the user to perform a gradual modification of the represented cyclic scale’s duration. The combination of these graphic representations of time, with cartographic representations, displaying the spatial distribution of such cyclic recurrences, could provide an exploratory analysis of localized cyclic recurrences in spatio-temporal data. Mathematical tools coming from other scientific fields, such as the harmonic analysis, offer another way to identify cyclic behaviors in temporal data. Combining the visual approach offered by specifically designed geovisualization environments, with a harmonic analysis that suggests searching paths to the user during its exploratory analysis, can then improve the visual search for localized cyclic recurrences. We propose a geovisualization environment, which combines, on one hand, a visual analysis of localized cyclic recurrences in spatio-temporal data, using ad hoc temporal diagrams, cartographic representations, and specific semiologic rules, and on the other hand, mathematical tools, such as harmonic analysis and spatial clustering, that provide searching paths to the user for its visual analysis. This approach is supported by a geovisualization environment, GrAPHiST, which provides an exploratory analysis of spatio-temporal event data. Numéro de notice : A2020-821 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1139/geomat-2020-0004 Date de publication en ligne : 03/08/2020 En ligne : https://doi.org/10.1139/geomat-2020-0004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97245
in Geomatica > vol 74 n° 3 (September 2020) . - pp 131 - 153[article]Improved crop classification with rotation knowledge using Sentinel-1 and -2 time series / Sébastien Giordano in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 7 (July 2020)
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Titre : Improved crop classification with rotation knowledge using Sentinel-1 and -2 time series Type de document : Article/Communication Auteurs : Sébastien Giordano , Auteur ; Simon Bailly
, Auteur ; Loïc Landrieu
, Auteur ; Nesrine Chehata
, Auteur
Année de publication : 2020 Projets : MAESTRIA / Mallet, Clément Article en page(s) : pp 431 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] Alpes-de-haute-provence (04)
[Termes IGN] chaîne de traitement
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] parcelle agricole
[Termes IGN] photo-identification
[Termes IGN] Seine-et-Marne (77)
[Termes IGN] série temporelle
[Termes IGN] surface cultivéeRésumé : (Auteur) Leveraging the recent availability of accurate, frequent, and multimodal (radar and optical) Sentinel-1 and -2 acquisitions, this paper investigates the automation of land parcel identification system (LPIS) crop type classification. Our approach allows for the automatic integration of temporal knowledge, i.e., crop rotations using existing parcel-based land cover databases and multi-modal Sentinel-1 and -2 time series. The temporal evolution of crop types was modeled with a linear-chain conditional random field, trained with time series of multimodal (radar and optical) satellite acquisitions and associated LPIS. Our model was tested on two study areas in France (≥ 1250 km2) which show different crop types, various parcel sizes, and agricultural practices: . the Seine et Marne and the Alpes de Haute-Provence classified accordingly to a fine national 25-class nomenclature. We first trained a Random Forest classifier without temporal structure to achieve 89.0% overall accuracy in Seine et Marne (10 classes) and 73% in Alpes de Haute-Provence (14 classes). We then demonstrated experimentally that taking into account the temporal structure of crop rotation with our model resulted in an increase of 3% to +5% in accuracy. This increase was especially important (+12%) for classes which were poorly classified without using the temporal structure. A stark positive impact was also demonstrated on permanent crops, while it was fairly limited or even detrimental for annual crops. Numéro de notice : A2020-382 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.86.7.431 Date de publication en ligne : 01/07/2020 En ligne : https://doi.org/10.14358/PERS.86.7.431 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95428
in Photogrammetric Engineering & Remote Sensing, PERS > vol 86 n° 7 (July 2020) . - pp 431 - 441[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2020071 SL Revue Centre de documentation Revues en salle Disponible Planar polygons detection in lidar scans based on sensor topology enhanced Ransac / Stéphane Guinard in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-2-2020 (August 2020)
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Titre : Planar polygons detection in lidar scans based on sensor topology enhanced Ransac Type de document : Article/Communication Auteurs : Stéphane Guinard , Auteur ; Zoumana Mallé, Auteur ; Oussama Ennafii
, Auteur ; Pascal Monasse, Auteur ; Bruno Vallet
, Auteur
Année de publication : 2020 Projets : BIOM / Vallet, Bruno Conférence : ISPRS 2020, Commission 2, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Annals Commission 2 Article en page(s) : pp 343 - 350 Note générale : biblographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] polygone
[Termes IGN] Ransac (algorithme)
[Termes IGN] segmentation en régions
[Termes IGN] semis de points
[Termes IGN] topologie capteur
[Termes IGN] traitement de semis de points
[Termes IGN] transformation de HoughRésumé : (auteur) Detecting planar structures in point clouds is a very central step of the point cloud processing pipeline as many Lidar scans, in particular in anthropic environments, present such planar structures. Many improvements have been proposed to RANSAC and the Hough transform, the two major types of plane detection methods. An important limitation however is that these methods detect planes running across the whole scene instead of more localized planar patches. Moreover, they do not exploit the sensor information that often comes with Lidar point cloud (sensor topology and optical center position in particular). In this paper we address both issues: we aim at detecting planar polygons that have a limited spatial extent, and we exploit sensor topology. The latter is used to enhance a RANSAC framework on two aspects: to make seed points selection more local and to define more compact sets of inliers through sensor space region growing. Numéro de notice : A2020-502 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-V-2-2020-343-2020 Date de publication en ligne : 03/08/2020 En ligne : https://doi.org/10.5194/isprs-annals-V-2-2020-343-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95643
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol V-2-2020 (August 2020) . - pp 343 - 350[article]Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers / Jian-Guo Huang in Proceedings of the National Academy of Sciences of the United States of America PNAS, vol 117 n° 34 (August 2020)
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Titre : Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers Type de document : Article/Communication Auteurs : Jian-Guo Huang, Auteur ; Qianqian Ma, Auteur ; Sergio Rossi, Auteur ; Franco Biondi, Auteur ; Annie Deslauriers, Auteur ; Patrick Fonti, Auteur ; Eryuan Liang, Auteur ; Harri Mäkinen, Auteur ; et al., Auteur ; Henri E. Cuny , Auteur ; et al., Auteur
Année de publication : 2020 Projets : ARBRE / AgroParisTech (2007 -) Article en page(s) : pp 20645 - 20652 Note générale : bibliographie
This work was funded by the National Natural Science Foundation of China (Grants 41861124001, 41661144007, and 31971499), the International Collaborative Key Project of the Chinese Academy of Sciences (CAS) (Grant GJHZ1752), GuangdongNatural Science Foundation (Grant 2019B121202007), and CAS President’s International Fellowship Initiative (Grant 2019VBA0049). Other funding agencies included the Austrian Science Fund (Grant P22280-B16; GrantP25643-B16), Consortium de Recherche sur la Forêt Boréale Commerciale, Fonds de Recherche sur la Nature et les Technologies du Québec, Forêt d’Enseignement et de Recherche Simon couche, Natural Sciences and Engineering Research Council of Canada, Slovenian Research Agency (Young Researchers’ Program, Programs P4-0015 and P4-0107, and Project Z4-7318), Italian Ministry of Education, University and Research–PRIN 2002(Grant 2002075152) and 2005 (Grant 2005072877), Swiss National Science Foundation (Projects INTEGRAL-121859 and LOTFOR-150205), French National Research Agency (ANR) as part of the “Investissements d’Avenir” program (Grant ANR-11-LABX-0002-01, Laboratory of Excellence for Advanced Research on the Biology of Tree and Forest Ecosystems), Academy of Finland (Grants 250299, 257641, and 265504), National Natural Science Foundation of China (Grant 41525001), Grant Agency of Czech Republic (Grant P504/11/P557), and Provincia Autonoma di Trento (Project “SOFIE 2,”3012/2007). F.B. was supported, in part, by the National Science Foundation under Grant AGS-P2C2-1903561. The cooperation among authors was supported by the European Union Cooperation in Science and Technology Action FP1106STReES.Langues : Anglais (eng) Descripteur : [Termes IGN] formation du bois
[Termes IGN] hémisphère Nord
[Termes IGN] phénologie
[Termes IGN] Pinophyta
[Termes IGN] puits de carbone
[Termes IGN] température au sol
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Wood formation consumes around 15% of the anthropogenic CO2 emissions per year and plays a critical role in long-term sequestration of carbon on Earth. However, the exogenous factors driving wood formation onset and the underlying cellular mechanisms are still poorly understood and quantified, and this hampers an effective assessment of terrestrial forest productivity and carbon budget under global warming. Here, we used an extensive collection of unique datasets of weekly xylem tissue formation (wood formation) from 21 coniferous species across the Northern Hemisphere (latitudes 23 to 67°N) to present a quantitative demonstration that the onset of wood formation in Northern Hemisphere conifers is primarily driven by photoperiod and mean annual temperature (MAT), and only secondarily by spring forcing, winter chilling, and moisture availability. Photoperiod interacts with MAT and plays the dominant role in regulating the onset of secondary meristem growth, contrary to its as-yet-unquantified role in affecting the springtime phenology of primary meristems. The unique relationships between exogenous factors and wood formation could help to predict how forest ecosystems respond and adapt to climate warming and could provide a better understanding of the feedback occurring between vegetation and climate that is mediated by phenology. Our study quantifies the role of major environmental drivers for incorporation into state-of-the-art Earth system models (ESMs), thereby providing an improved assessment of long-term and high-resolution observations of biogeochemical cycles across terrestrial biomes. Numéro de notice : A2020-329 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1073/pnas.2007058117 En ligne : https://doi.org/10.1073/pnas.2007058117 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96865
in Proceedings of the National Academy of Sciences of the United States of America PNAS > vol 117 n° 34 (August 2020) . - pp 20645 - 20652[article]Reply to Elmendorf and Ettinger: Photoperiod plays a dominant and irreplaceable role in triggering secondary growth resumption / Jian-Guo Huang in Proceedings of the National Academy of Sciences of the United States of America PNAS, vol 117 n° 52 (December 2020)
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Titre : Reply to Elmendorf and Ettinger: Photoperiod plays a dominant and irreplaceable role in triggering secondary growth resumption Type de document : Article/Communication Auteurs : Jian-Guo Huang, Auteur ; Qianqian Ma, Auteur ; Sergio Rossi, Auteur ; Franco Biondi, Auteur ; Annie Deslauriers, Auteur ; Patrick Fonti, Auteur ; Eryuan Liang, Auteur ; Harri Mäkinen, Auteur ; et al., Auteur ; Henri E. Cuny , Auteur ; et al., Auteur
Année de publication : 2020 Projets : ARBRE / AgroParisTech (2007 -) Article en page(s) : pp 32865 - 32867 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] croissance végétale
[Termes IGN] formation du bois
[Termes IGN] modèle de croissance végétale
[Termes IGN] phénologie
[Vedettes matières IGN] Végétation et changement climatiqueNuméro de notice : A2020-332 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : sans Date de publication en ligne : 15/12/2020 En ligne : https://www.pnas.org/content/117/52/32865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96886
in Proceedings of the National Academy of Sciences of the United States of America PNAS > vol 117 n° 52 (December 2020) . - pp 32865 - 32867[article]A line integral approach for the computation of the potential harmonic coefficients of a constant density polyhedron / Olivier Jamet in Journal of geodesy, Vol 94 n°3 (March 2020)
PermalinkToward a standardized encoding of remote sensing geo-positioning sensor models / Meng Jin in Remote sensing, vol 12 n° 9 (May 2020)
PermalinkGood things take time : Diversity effects on tree growth shift from negative to positive during stand development in boreal forests / Tommaso Jucker in Journal of ecology, vol 108 n° 6 (November 2020)
PermalinkCoastline change modelling induced by climate change using geospatial techniques in Togo (West Africa) / Yawo Konko in Advances in Remote Sensing, vol 9 n° 2 (June 2020)
PermalinkExtraction de connaissances pour la description de l'environnement maritime côtier à partir de textes d'aide à la navigation / Léa Lamotte in Revue des Nouvelles Technologies de l'Information, E.36 (2020)
PermalinkCNN semantic segmentation to retrieve past land cover out of historical orthoimages and DSM: first experiments / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-2-2020 (August 2020)
PermalinkForeword to the special issue on paving the way for the future of urban remote sensing / Sébastien Lefèvre in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 13 ([01/01/2020])
PermalinkCorrection of systematic radiometric inhomogeneity in scanned aerial campaigns using principal component analysis / Lâmân Lelégard in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-2-2020 (August 2020)
PermalinkThe 2018–2019 seismo-volcanic crisis east of Mayotte, Comoros islands: seismicity and ground deformation markers of an exceptional submarine eruption / Anne Lemoine in Geophysical journal international, vol 223 n° 1 (October 2020)
PermalinkAdvanced machine learning optimized by the genetic algorithm in ionospheric models using long-term multi-instrument observations / Wang Li in Remote sensing, vol 12 n° 5 (March 2020)
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