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).

Climatological data from the meteo station of Piton Fougeres (alt.1300 m), Reunion Island - Air temperature - Air relative humidity - Soil temperature - Soil humidity - Leaf wetness sensor - Pluviometry - Photosynthetically Active Radiation (PAR)

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...

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

Climatic data from the meteorological station of Mare Longue (primary forest, 300m of elevation) UMR PVBMT