LIST ERIN department


The Environmental Research and Innovation (ERIN) department is active in the use, processing, and interpretation of remote sensing data from multiple sensors installed on space- and airborne platforms of Earth Observation (EO) data for environmental management, precision agriculture and viticulture, maritime surveillance and risk management applications. The focus is geared towards a better use of EO data in operational management tools and to integrate remote sensing data together with global navigation satellite systems for near real-time eco-hydrological, hydraulic, and crop growth modelling. Eventually, it also aims to integrate remotely sensed information with in-situ data, process-based models, and leverage on satellite communication and IoT Low Power Wide Area Network technology to provide evidence-based decision support tools.


Algorithms to enable the automated production of environmental variables:

  • Evaporation and transpiration from thermal remote sensing data (STIC)
  • Leaf area index, canopy chlorophyll, nitrogen content, plant disease detection from multi- and hyperspectral field, drone, and satellite data
  • Time series analysis toolbox as web interface with automated processing
  • Water bodies and floodwater variations from SAR data
  • Flood hazard from multi-temporal remote sensing data
  • Urban flood mapping from InSAR data
  • Vessel detection and coastal delineation from SAR data 
  • Geospatial software technologies and platforms for web based data integration
  • Training

Integration of remote sensing data with in-situ data and process-based environmental models.

Software enabling IoT-based collection of environmental data


  • In-situ sensors: field spectrometers ASD Field Spec-3 and Spectral Evolution RS-3500 and sensors for crop state parameters Li-COR 2200 and Minolta SPAD
  • Ground-based and airborne hyperspectral thermal sensor
  • UAV platforms equipped with thermal (Teax ThermalCapture Fusion Zoom), hyperspectral VNIR/SWIR (Headwall Nano and Headwall M384 and LIDAR sensors
  • IoT-satellite integrated testbeds


ESA, LSA, CNES, Ministry of Environment, Ministry of Agriculture, Luxspace, HITEC Luxembourg, Terrasphere, Aerovision BV, VITO, TELOPS-Canada, KU Leuven, TU Vienna, University of Bristol, adwaïsEO, SES, EarthLab, Cybercultus, Blue Horizon, Hydrosat, World Bank, ISARDSAT, CIMA Research Foundation, Earth Observation Data Centre, Wageningen University, Gomspace, Agroptimize, WASDI, RSS-Hydro, Fadeout Software, Service des médias et des communications, Luxsense, Geodata, POST


  • LANDCOVER CCI – Global land cover map development for climate modelling applications
  • SENSECO - Optical synergies for spatiotemporal sensing of Scalable ecophysiological traits
  • CASCADE - Combining earth observation with a large-scale model cascade for assessing flood hazard at high spatial resolution
  • ESHAPE - Satellite Earth Observation-derived water bodies & floodwater record over Europe
  • GFMS – Global flood monitoring service
  • SMARTIES - Real time smart irrigation management for multiple stakeholders’ levels
  • Lux5GCloud - Luxembourg 5G Smart Country Data Cloud
  • OVERSEAS - Multi-source Earth Observation-based maritime traffic monitoring

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