Three variables are considered :
- precipitation ( PR )
- minimum nighttime temperatures ( TMIN )
- maximum daytime temperatures ( TMAX ).
Two scenarios are illustrated :
- SSP245 corresponding to average socio-economic pathways (SSP) and a radiative forcing (RCP) of 4.5 W/m² moderate
- SSP585 corresponding to an immoderate use of fossil fuels as is currently the case
By clicking on the links below, a video is activated in your usual browser
Climate change from 1950 to 2100
References
Analysis of the three Copernicus Digital Elevation Models (DEMs) (EEA-10, GLO-30 and GLO-90). Comparison of GLO-30 with the other global DEMs SRTM, ASTER GDEM and ALOS World 3D. Altimeter accuracy computed from LiDAR ICESat-1, ICESat-2 ("Terrain only" and "Terrain with canopy") and GEDI ("Lowest mode" and "Highest return") data. Statistical measure of the influence of land cover.
Monitoring of land cover changes over the last 20 years (2000, 2005, 2010, 2015 and 2019) using Landsat-7, Landsat-8 and Sentinel-2 data. Detection of illegal mining sites.
Study of deforestation and mining activity in the territory of Bafwasende (DRC)
Analysis of forest degradation since 2000 in favour of cocoa agroforestry in the forest reserves (excluding admitted farms) of Tano-Ofin, Sui-River and Krokosua using radar and optical images.
Production of land use maps of the three protected areas ZC Djona, ZC Mekrou and PN W-Benin and their periphery from satellite data since 1998.
Study of the dynamics of land use in the hunting zones (ZC) and national park (PN) in Benin
Supply and processing of images (radar and optical) on the Tindouf Basin (Algeria). Production of geological photo-interpretation maps.
Sentinel-2 data were used to calculate differences in vegetation indices before and after Hurricane Matthew occurred on October 4, 2016.
Investigation of the volume and accessibility of ESA’s major EO archives. Developed a prototype to access and process -DHuS Sentinel-1, -Envisat ASAR/MERIS, -Landsat-5/7 TM/ETM+ collections on the fly.
Rwanda Environment Management Authority (REMA) - Supervision of the RBIS project from the tender to the development of the software, the organization of the data and the different trainings.
Compilation and accurate geocoding of optical and radar data (satellite and aerial views) acquired over the last 35 years. Photo-interpretation of the coastline and development of tools to quantify erosion/accretion.
