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Auteur Vincent Thieron |
Documents disponibles écrits par cet auteur (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesInnovative Methods and Products of the " Urbanization and Artificialization" Scientific Expertise Centre / Anne Puissant (2019)
Titre : Innovative Methods and Products of the " Urbanization and Artificialization" Scientific Expertise Centre Type de document : Article/Communication Auteurs : Anne Puissant, Auteur ; Arnaud Le Bris Editeur : Paris : HAL Année de publication : 2019 Conférence : LPS 2019, ESA Living Planet Symposium 13/05/2019 17/05/2019 Milan Italie programme sans actes Importance : 2 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] données localisées
[Termes IGN] empreinte écologique
[Termes IGN] information scientifique et technique
[Termes IGN] télédétection
[Termes IGN] urbanisation
[Termes IGN] utilisation du solRésumé : (auteur) he THEIA Land Data and Services Centre (www.theia-land.fr) is a consortium of 12 French public institutions involved in Earth observation and environmental sciences (CEA, CEREMA, CIRAD, CNES, IGN, INRA, CNRS, IRD, Irstea, Météo France, AgroParisTech, and ONERA). THEIA has been initiated in 2012 with the objective of increasing the use of space data by the scientific community and the public actors. THEIA structured the French scientific community 1) through a mutualized Service and Data Infrastructure (SDI) distributed between several centers, allowing access to a variety of products; 2) through the setup of Regional Animation Networks (RAN) to federate and animate users (scientists and public / private actors) and 3) through Scientific Expertise Centres (SEC) clustering virtual research groups on a thematic domain. One of this SEC is the "Urbanization and Artificialization” Centre clustering experts in multi-sensor urban remote sensing. THEIA in collaboration with ODATIS (Data and Service for the Ocean), ForM@Ter (Data and Service for the Solid Earth), and AERIS (Data and Service for the Atmosphere) form the "Earth System" Research Infrastructure. The objective of this poster is to present recent (>2016) innovations of the URBAN SEC in terms of (1) development of algorithms useful for urban remote sensing using optical and SAR sensors, (2) validation of the urban products provided by the THEIA Land Service and Data Infrastructure, and (3) demonstration of user-tailored applications for urban studies. The Urban Expert Centre brings together researchers and engineers from several institutes: LIVE - Strasbourg, IGN-LaSTIG - Univ. Paris Est, CESBIO – Toulouse, LETG - Rennes, Irstea – Montpellier, TETIS - Montpellier, INP Bordeaux, IRD, ESPACE-DEV - Montpellier, ESPACE - Nice, ONERA. Research results and methods linked to (1) the detection and mapping of the urban footprint at an annual frequency; (2) the identification of urban fabrics, (3) the mapping of green networks within the cities. In parallel, the group proposes to summarize and identify relevant indicators (parameters) dedicated to urban planning and management. Numéro de notice : C2019-046 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Poster nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://hal.archives-ouvertes.fr/hal-02135846 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95429
Titre : A generic remote sensing approach to derive operational essential biodiversity variables (EBVs) for conservation planning Type de document : Article/Communication Auteurs : Samuel Alleaume, Auteur ; Pauline Dusseux, Auteur ; Vincent Thieron, Auteur ; Loïc Commagnac Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 1822 - 1836 Note générale : bibliographie
The authors thank the French Ministry of Ecology, Sustainable Development and Energy (MEDDE) for partial financial supportLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Environnement
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] écosystème
[Termes IGN] habitat (nature)
[Termes IGN] image à très haute résolution
[Termes IGN] indicateur de biodiversité
[Termes IGN] phénologie
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] protection de la biodiversité
[Termes IGN] variableRésumé : (auteur) The open access availability of satellite images from new sensors characterized by various spatial and temporal resolutions provides new challenges and possibilities for biodiversity conservation. Methodologies aiming at characterizing vegetation type, phenology, and function can now benefit from metric spatial resolution imagery combined with an improved revisit capability. Here, we test hybrid methods and data fusion, using very high spatial resolution (VHSR) sensors in different complex landscapes encompassing three French biogeographical regions.
The methodological approach presented herein has a generic value in response to national conservation targets based on the concept of essential biodiversity variables accessed by remote sensing (RS‐enabled EBVs). We focused on deriving five RS‐enabled EBVs from natural and seminatural open ecosystems: (1) ecosystem distribution, (2) land cover, (3) heterogeneity, (4) primary productivity and (5) vegetation phenology. The challenge was to develop a method that would be technically feasible, economically viable, and sustainable in time.
We demonstrated that it is possible to derive key parameters required to develop a set of EBVs from remote sensing (RS) data. The combined use of remote sensing data sources with various spatial, temporal, and spectral resolutions is essential to obtain different indicators of natural habitats.
One major current challenge for an improved contribution of RS to conservation is to strengthen multiple collaborative frameworks among remote sensing scientists, conservation biologists, and ecologists in order to increase the efficiency of methodological exchange and draw benefits for successful conservation planning strategies.Numéro de notice : A2018-659 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : BIODIVERSITE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.1111/2041-210X.13033 Date de publication en ligne : 06/08/2018 En ligne : https://doi.org/10.1111/2041-210X.13033 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93817
in Methods in ecology and evolution > vol 9 n° 8 (August 2018) . - pp 1822 - 1836[article]
