Geosur
dataset
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Le projet a pour objectif d'améliorer le signal de la pluie détectée par les géophones en comparant les données météorologiques d'un disdromètre, d'un pluviomètre et de 3 géophones afin d'extraire des données des sismographes pour mieux comprendre le transport sédimentaire issu du réseau sismologique installé dans la rivière des pluies et la rivière du Mat. Les objectifs sont : 1) déterminer les caractéristiques sismiques de la pluie sur le site de mesures 2) A terme, comprendre le déclenchement des éboulements et glissements liés aux pluies A court terme, ce projet devrait aussi permettre de : 1) comprendre pour un même type de pluie l'influence de sols de rugosités différentes sur les signaux enregistrés par les sismomètres 2) intégrer/contraindre pour un même type de sol l'influence de types de pluies différentes sur les enregistrements des sismomètres 3) déterminuer l'influence des tailles des gouttes et du nombre de gouttes (indications données par le disdromètre) sur le signal sismique
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Climatic data from the meteorological station of Mare Longue (primary forest, 300m of elevation) UMR PVBMT
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The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in Toamasina (Tamatave) in Madagascar.
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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).
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Instrumentation in river. The parameters are the following ones: - water level (available) - Temperature (available) - Conductivity (to set up) - Turbidity (available) - pH / dissolved oxygen / Potential oxydo-reduction (to set up) Laboratoire Géosciences Réunion – IPGP
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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.
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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).
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Elevational Transect on the West side of the Piton des Neiges. Implementation of small permanents plots every 200 m of height between 750 and 2350 m. Differents biotics and abiotics parameters are observed on plots: - Climatic variables (T, RH) - Physico-chemical analyses of grounds - Inventories of vegetation, arthropods
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The coastline or shoreline is the geographical boundary between sea and land. It corresponds according to the SHOM to "the leash of the highest seas in the context of an astronomical tide of coefficient 120 and under normal weather conditions (without overcost phenomenon). The coastline as defined above is not directly identifiable continuously on the ground or on a satellite or aerial image. From a perspective of studying the displacement of the shoreline, indicators allow us to approach this notion (the vegetation limit associated with the infrastructure limit, the beach limit, etc.). On the reef shoreline of Reunion Island the limit of vegetation and infrastructure as well as beach limit were retained. This limit results in the production of a line-type vector geographic information layer in a GIS resulting from the photo-interpolation on Pléiades satellite images. Pleiades satellite images from the Kalideos Réunion database (CNES) have been used since 2016 to study the position of the shoreline annually. Launched in 2011, Pléiades is a very high spatial resolution spatial image system (panchromatic optical instrument at 70 cm and 2.8 m multispectral) operating in the visible and near infrared with a swath of 20 km UMR Espace-Dev
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Elevational Transect on the East side of the Piton des Neiges. Implementation of small permanents plots every 200 m of height between 350 m and 2950 m. Differents biotics and abiotics parameters are observed on plots: - Climatic variables (T, RH) - Physico-chemical analyses of grounds - Vegetation and arthropods inventories...