WMS Service de visualisation cartographique (WMS) de l'UMR SAS. GéoSAS, portail de l'information géographique de l'Unité Mixte de Recherche, Sol Agro et hydrosystèmes, Spatialisation (UMR SAS), INRAE - Institut Agro, Rennes - Quimper WFS WMS GéoSAS Hervé Squividant UMR 1069 SAS INRAE - Institut Agro

65 rue de Saint-Brieuc

Rennes 35042 Herve.Squividant@institut-agro.fr NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/bil image/dds image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON Service de visualisation cartographique (WMS) de l'UMR SAS. GéoSAS, portail de l'information géographique de l'Unité Mixte de Recherche, Sol Agro et hydrosystèmes, Spatialisation (UMR SAS), INRAE - Institut Agro, Rennes - Quimper EPSG:2154 EPSG:27562 EPSG:27572 EPSG:27582 EPSG:3948 EPSG:4258 EPSG:900913 EPSG:3857 EPSG:4326 EPSG:32643 CRS:84 -5.719445070761541 -0.1473066552826841 46.832548961559105 49.65281083295291 humidite_bzh Estimation de l'humidité de surface des sols de Bretagne représentée sous la forme d'une série temporelle d'images raster à 10 mètres de résolution étalée sur plus de 1000 dates entre 2017 et 2022. La méthode d’estimation de l’humidité, développée à l’INRAE (UMR TETIS), est basée sur l'utilisation d'images satellitaires des nouveaux systèmes d’observation de la Terre Copernicus radar et optique Sentinel-1 et Sentinel-2. humite des sols télédétection EPSG:4326 CRS:84 -5.719445070761541 -0.1473066552826841 46.83257875082228 49.65281083295291 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2022-08-19T00:00:00.000Z,2022-08-23T00:00:00.000Z,2022-08-26T00:00:00.000Z,2022-08-30T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-09-04T00:00:00.000Z,2022-09-07T00:00:00.000Z,2022-09-11T00:00:00.000Z,2022-09-12T00:00:00.000Z,2022-09-16T00:00:00.000Z,2022-09-19T00:00:00.000Z,2022-09-23T00:00:00.000Z,2022-09-24T00:00:00.000Z,2022-09-28T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-10-05T00:00:00.000Z,2022-10-06T00:00:00.000Z,2022-10-10T00:00:00.000Z,2022-10-13T00:00:00.000Z,2022-10-17T00:00:00.000Z,2022-10-22T00:00:00.000Z,2022-10-25T00:00:00.000Z,2022-10-29T00:00:00.000Z,2022-10-30T00:00:00.000Z,2022-11-03T00:00:00.000Z,2022-11-06T00:00:00.000Z,2022-11-10T00:00:00.000Z,2022-11-11T00:00:00.000Z humidite_octobre_2017 Estimation de l'humidité des sols de Bretagne représentée sous la forme d'une série temporelle d'images raster à 10 mètres de résolution étalée sur 21 dates d'octobre 2017. La méthode d’estimation de l’humidité, développée à l’INRAE (UMR TETIS), est basée sur l'utilisation d'images satellitaires des nouveaux systèmes d’observation de la Terre Copernicus radar et optique Sentinel-1 et Sentinel-2. télédétection EPSG:4326 CRS:84 -4.972825211082567 -0.2092661653794545 46.84792632355184 48.93196404031525 2017-10-01T00:00:00.000Z,2017-10-02T00:00:00.000Z,2017-10-03T00:00:00.000Z,2017-10-06T00:00:00.000Z,2017-10-07T00:00:00.000Z,2017-10-08T00:00:00.000Z,2017-10-09T00:00:00.000Z,2017-10-12T00:00:00.000Z,2017-10-13T00:00:00.000Z,2017-10-14T00:00:00.000Z,2017-10-15T00:00:00.000Z,2017-10-18T00:00:00.000Z,2017-10-19T00:00:00.000Z,2017-10-20T00:00:00.000Z,2017-10-21T00:00:00.000Z,2017-10-24T00:00:00.000Z,2017-10-25T00:00:00.000Z,2017-10-26T00:00:00.000Z,2017-10-27T00:00:00.000Z,2017-10-30T00:00:00.000Z,2017-10-31T00:00:00.000Z text/html text/xml ndvi_2021 Indice de végétation de Bretagne représentée sous la forme d'une série temporelle d'images raster à 10 mètres de résolution étalée sur 20 dates de l'année 2021. Le NDVI (Normalized Differential Vegetation index) est un indice de végétation basé sur la différence entre réflectance du proche infrarouge (8ème bande spectrale de S2) et réflectance du rouge (4ème bande spectrale de S2) le tout divisé sur la somme des deux mêmes réflectances. Cet indice exploite la signature spectrale de la végétation qui est très particulière, car elle montre un pic très marqué dans le proche infrarouge (pour une végétation bien développée), et une réflectance moindre dans la rouge. NDVI EPSG:4326 CRS:84 -5.719358495215288 -0.147478248456812 46.832548961559105 49.6527228020254 2021-01-01T00:00:00.000Z,2021-01-15T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-02-15T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-03-15T00:00:00.000Z,2021-04-15T00:00:00.000Z,2021-05-15T00:00:00.000Z,2021-06-15T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-07-15T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-08-15T00:00:00.000Z,2021-09-15T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-10-15T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-11-15T00:00:00.000Z,2021-12-01T00:00:00.000Z,2021-12-15T00:00:00.000Z rpg_bosco Parcelles cultivées résultant de la compilation des Référentiels Parcellaires Graphiques (RPG) de 2017 et 2019. La table attributaire contient un lien vers la série temporelle de l'humidité de surface de la parcelle depuis 2017. RPG EPSG:4326 CRS:84 -4.91096242130702 -1.015820951027171 47.28120777120457 48.8663241049249 rpg_bosco0 features rpg_bosco EPSG:4326 CRS:84 -2.103442599464155 -1.9905641418319462 47.96150030415454 48.002661009650524