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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Small_Scale_Fishery_ Fish2Sustainability _Data_2023
Sep 6, 2023
Léopold, Marc; Devillers, Rodolphe; Bitoun, Rachel, 2023, "Small_Scale_Fishery_ Fish2Sustainability _Data_2023", https://doi.org/10.5281/zenodo.8321910, Zenodo
Dataset name - World_ IRD_ Small_Scale_Fishery_Data_2023 Title: Qualitative Data on 61 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from Colombia, Ecuador, France, Kenya, Madagascar, Mexico, and Nigeria. Description This dataset was created for the F...
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
classif_Jurua_ENV_sh.nc
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Network Common Data Form - 122.3 KB - MD5: c0a278fb8f2c4e30fbdc782a925d4c8d
Data
netCDF4 format
classif_Jurua_SRL_sh.nc
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Network Common Data Form - 233.0 KB - MD5: 2713b22854beef2be0222c5c01b5be6d
Data
netCDF4 format
ClassifWLstations_dataset_summary.txt
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Plain Text - 1.6 KB - MD5: 760e030e2958315a85d522d24cfcbdd4
Documentation
Dataset citation and description
WL_Curuai_class0_ENV_sh.tab
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 34.9 KB - 802 Variables, 21 Observations - UNF:6:CZaZa6Ira2BGC3tMACnxtw==
Data
WL_Curuai_class0_SRL_sh.tab
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 4.7 KB - 204 Variables, 8 Observations - UNF:6:spo0JpDGL+ILLDEswTd36w==
Data
WL_Curuai_class1_ENV_sh.tab
May 3, 2023 - Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 25.8 KB - 646 Variables, 17 Observations - UNF:6:3uRl0ywZrHLOYYVOrkvwNg==
Data
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