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dataset

131 record(s)
 
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  • The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in the South of Reunion Island, in Saint Joseph.

  • The resource provides two land cover maps of Réunion Island for the years 1950 and 2022 derived from the analysis of ortho-photographs at the island scale (Source IGN). The produced typology uses five cover classes: forest, low vegetation, agriculture, urban, and shadow (related to topography). The method used is based on encoding the two aligned rasters, converted into a single band of grayscale for 2022, using a vision-transformer deep learning model. From the features calculated for each pixel, a random forest classification model is trained separately for each year using a set of ROIs (Regions Of Interest), target polygons delineated within each of the selected classes through photo-interpretation of the original images. Model validation is performed on independent sets of polygons also defined by photo-interpretation. The maps provided in the resource are derived from the prediction of cover classes for both years using the trained and validated models. These are raw predictions, meaning that no post-processing has been applied to reduce potential noise due to classification errors. The shared resource is part of the results from the FRAG'ILE research and development program (FRAGmentation en milieu InsuLairRE, UR / CBNM/ IRD, funded by OFB, https://fragile.frama.io).

  • The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in Toamasina (Tamatave) in Madagascar.

  • WW3 model reanalysis on SWIO (south-western indian ocean) area at 0.5 degree of resolution

  • Categories  

    The station is managed by the Observatoire de la Zone Critique de la Réunion (OZC-R) from Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion, Université de La Réunion), and located at 80m asl at the Reunion University. Rainwater is monthly collected (PALMEX rain collector) for δ18O and δ2H water isotopes analysis from 2001. Analyses are carried out at the International Atomic Energy Agency as part of the global network for measuring isotopes in precipitation (GNIP-IAEA).

  • Le radar mini-BASTA est un radar nuage (95GHz) dédié à l’étude des nuages et du brouillard. Le radar mesure l’énergie rétrodiffusée par les hydrométéores, cette énergie peut donc être reliée à la quantité d’eau contenue dans le nuage (liquide et glace). Il fonctionne en routine quotidiennement sur le site de l’observatoire du Maïdo, sur l'Ile de La Réunion. Ce jeu de données est au niveau L0, et les données sont non calibrées. Paramètre principal: Profil vertical de réflectivité radar, mesure du décalage Doppler. Contexte de la mesure: observation routine.

  • Categories  

    The beach profile is a sectional representation of its topography. The beach topography and its dynamics (by beach profile or transect approach) is illustrated by the acquisition of altimetry data along a fixed profile. 42 profiles are regularly monitored on the reef coast of Reunion Island: 2 profiles per year before the swell seasons of summer and austral winter; the impact of the events of strong swells (cyclones, southern swells) is systematically measured on the labeled Dynalit sites and more sporadically on the other sites. The methodology deployed locally since 2012.

  • This ressource is part of the action 1 of the ESPOIRS Project. Multiple GNSS Stations have been installed or updated in the SWIO and the data are available here. "TO ADD : Different datasets, list of stations, etc ...."

  • Weekly and monthly physico-chemical water samples of "Rivière des Pluies" watershed, Reunion Island

  • The overall objective of the ESPOIRS project is to obtain a better understanding of the variability, statistical properties and formation mechanisms of intense tropical precipitation at regional and local scales. ESPOIRS is thus interested in the entire life cycle of precipitation at several space-time scales. * Through the analysis of the distribution of the large-scale humidity field which drives the formation of precipitation at the regional scale using a GNSS network. * Through the characterization of internal (dynamics, microphysics) and external (interactions with the relief) processes, which drive the formation and life cycle of extreme weather events at the local scale => transportable Polarized Doppler X-band precipitation radar.