L'UMR ESPACE-DEV développe des recherches sur les dynamiques spatiales caractérisant les éco-sociosystèmes. Ses objectifs concernent la définition d’indicateurs de ces dynamiques : bio-géophysiques, évolutions des sociétés, risques liés aux maladies émergentes en fonction de paramètres environnementaux, changements et vulnérabilité des territoires aux changements globaux. Dans ce but, elle met au point des méthodologies en télédétection spatiale et en intégration des connaissances multidisciplinaires. L'objectif est de mettre en place des Observatoires de l’Environnement pour le développement.
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NC_SPOT_R7C9.tif
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
TIFF Image - 29.2 MB - MD5: 61053687385db756708c2046f1d991dd
Data
New Caledonia, Thio, 13.3 km². GeoTIFF format.
NC_SPOT_R8C8.tif
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
TIFF Image - 47.7 MB - MD5: 557ae16ba8f4a9c897114fc8bbcc0f4e
Data
New Caledonia, La Foa, 21.8 km². GeoTIFF format.
NC_SPOT_R9C10.tif
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
TIFF Image - 56.0 MB - MD5: dc318be75e2d90ed97a11272f8df2ece
Data
New Caledonia, Yahoué, 52.1 km². GeoTIFF format.
NC_SPOT_R9C11.tif
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
TIFF Image - 105.0 MB - MD5: ed0fb62f03b6cdad455568ba3ef466db
Data
New Caledonia, Yaté, 15.9 km². GeoTIFF format.
NC_SPOT_R9C9.tif
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
TIFF Image - 31.9 MB - MD5: aae1b1244e9d4a9f83a4a281bf635dfa
Data
New Caledonia, Tontouta, 25.3 km². GeoTIFF format.
Rousset_2023_NCLand_Readme.txt
Oct 26, 2023 - SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia
Plain Text - 1.9 KB - MD5: 4e8a8278e0137aa3aba3b509e32b8cbe
Documentation
Dataset citation, description and terms of use.
Qualitative Data on 60 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain)
Sep 6, 2023
Léopold, Marc; Bitoun, Rachel; Devillers, Rodolphe, 2023, "Qualitative Data on 60 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain)", https://doi.org/10.5281/zenodo.8321910, Zenodo
Dataset name Small_Scale_Fishery_Data_2023_v2 Title Qualitative Data on 60 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain). Description...
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
May 3, 2023
Enguehard, Pauline; Frappart, Frédéric; Zeiger, Pierre; Blarel, Fabien; Satge, Frédéric; Bonnet, Marie-Paule, 2023, "Virtual water level stations in the Amazon floodplains measured by radar echoes classification", https://doi.org/10.23708/HOZKPW, DataSuds, V1, UNF:6:MEl7erA/2OZZ7MbVWo5szw== [fileUNF]
This dataset was obtained using altimetry data, from CTOH (Center for Topographic studies of the Ocean and Hydrosphere, http://ctoh.legos.obs-mip.fr/), of the ENVISAT (2002-2010) and SARAL (2013-2016) satellite missions acquired over the Curuai floodplain along the Amazon and the...
classif_Curuai_ENV_sh.nc
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Network Common Data Form - 27.0 KB - MD5: cb6ed7bf54dbdeeba2c3adae72c6a0a4
Data
netCDF4 format
classif_Curuai_SRL_sh.nc
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Network Common Data Form - 31.3 KB - MD5: 050631ad8c269e6f6d09d74ba1270476
Data
netCDF4 format
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