Objectives

Tackle regional Environmental issues:

  • Arid, semi arid agriculture water issues, Irrigated Olive trees and wheat systems.
  • Tropical forest loss, Asian rice paddy systems monitoring, orchards and vineyards.
  • Global warming, regional droughts and human impacts on agro-hydrosystems and forestry.
  • Urban environmental variables monitoring, Heat fluxes, water security.

Using New Essential Environmental Variables:

  • Snow extent and depth, flood extent monitoring, evapotranspiration and irrigation quantification, Terrestrial water mass balance, terrain deformation following groundwater abstraction
  • Forest and crop biomass, Carbon cycles, crop water and nitrogen stresses
  • Soils properties mapping, 3D geometries for urban or hydrological structures

From Big EO data and forthcoming new Sensors

  • FAIR algorithms of water detection, landcover automated classification, data fusion methods
  • Radars in P-l-S-X-Bands, Thermal for high resolutions, true stereoscopic data at very high resolution, Radar Altimetry band Ka, Ku, C

Using High Performance Computing and shared data-cube:

  • Larger numerical data sets requires HPC coupled with large data storage (dataCube).
  • FAIR data and methods and remote connections worldwide for an Easier collaborative work
  • Capacity building through shared open access geo-spatial data library and machine learning based processing chain.
@adrien.selles

Co-designing Future:

  • Calibration / Validation activities for satellite missions
  • Upcoming satellite missions:
    • Thermal (TRISHNA)
    • Radar (BIOMASS, NISAR, LOTUSAT-1)
    • Stereoscopy (CO3D)
  • New satellite products definition:
    • High resolution Soil moisture, rice paddies, deforestation, agricultural practices
    • 3D lake bathymetry, lake temperatures, river water sediment, discharge

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