ENVEO is leading the Snow CCI Project, which is part of the Climate Change Initiative extension (CCI+) of ESA. The main objective of the project is the generation of homogeneous, well calibrated, long-term time series of snow cover extent and snow water equivalent from multi-sensor satellite data for climate applications. ENVEO is leading the algorithm development and is contributing to the snow cover extent production from optical satellite data.
Project Team: ENVEO Environmental Earth Observation IT GmbH (PI), Environment and Climate Change Canada (ECCC), Eurac Research, Finnish Meteorological Institute (FMI), GAMMA Remote Sensing AG, Norwegian Computing Centre (NR), University of Berne, Finnish Environment Institute (SYKE), Centre National de la Recherche Scientifique (CNRS / IGE), Swedish Meteorological and Hydrological Institute (SMHI), University of Edinburgh
ESA Contract No. 4000124098/18/I-NB
The project aims at (i) identifying key applications for a Ka-band SAR mission, with an emphasis on SPInSAR applications, (ii) deriving the corresponding mission requirements, assessing the expected L2 performance by means of an end-to-end simulation tool, to be developed within the activity, and by the analysis of available data sets, and (iii) consolidating and refining the mission and system concept, exploiting trade-off spaces identified during the study. ENVEO is subcontractor responsible for cryosphere and natural hazards.
Project Team: Delft University of Technology (PI), ENVEO Environmental Earth Observation IT GmbH, Aresys, DARES, Sapienza-Universita di Roma, Thales Alenia-Space
ESA Contract No. 4000122671/17/NL/FF/gp
The main objectives of this project are to (i) investigate the synergistic use for Sentinel-2 and Sentinel-3 data for seasonal snow monitoring, (ii) develop a snow pack models driven by meteorological parameters to generate cloud cleared snow extent products (i.e. observation gaps caused by clouds are filled) from optical satellite data, and (iii) demonstrate the synergistic use of the snow pack model and the snow extent products from Sentinel-2 and Sentinel-3 data.
Project Team: Catalysts GmbH (PI), ENVEO Environmental Earth Observation IT GmbH
ESA Contract No. 4000119901/17/I-EF
This study aims to consolidate the application needs and the observation requirements for future operational L-band SAR missions, as well as to define the corresponding preliminary mission and technical requirements. The study encompassses the whole chain from the definition of a mission goal to the final plannning of a mission with the spacecraft. As the study is launched for 15 months the analysis can be done only on a basis of a first order assessment of the complete chain.
Project Team: DLR / HR (PI), DLR / IMF, ENVEO Environmental Earth Observation IT GmbH, Univ. Oslo, Univ. Leeds, GAMMA, IFREMER, Univ. Alicante, DTU Space, GMV, OHN, Airbus Defence.
The aim of the CryoTop Evolution is to generate L2, L3 and L4 products over the Greenland and Antarctic ice sheets from swath processing of CryoSat SARIn mode data.
Project Team: University of Edinburgh (PI), University of Leeds, isardSAT, ENVEO
Development of Pan-European Multi-Sensor Snow Mapping Methods Exploiting S-1.
Project Team: ENVEO Environmental Earth Observation IT GmbH (PI), Finnish Meteorological Institute (FMI), Finnish Environment Institute (SYKE), University of Zurich, NORUT.
ESA SEOM, Contract 4000118763.
Scientific evaluation of mission concepts for snow mass and other cryosphere parameters.
Project Team: Finnish Meteorological Institute (FMI) (PI), ENVEO, German Aerospace centre (DLR), Gamma Remote Sensing AG, Institute of Applied Physics (IFAC), Environment and Climate Change Canada (ECCC).
ESA Contract 4000118310.
Project Team: Finnish Meteorological Institute (FMI) (PI), ENVEO Environmental Earth Observation IT GmbH, Institute of Applied Physics (IFAC), Environment and Climate Change Canada (ECCC), Northumbria University, CORES Science and Engineering (CORES), University of Edinburgh.
Estimation of the freshwater budget of the Arctic Ocean using Earth Observation and In-situ Data.
Project Team: DTU(PI), ENVEO and LEGOS.
The overall goal of the High Resolution SAR Algorithms for Mass Balance and Dynamics of Calving Glaciers (SAMBA) project is to advance the utilization of high resolution SAR sensors for better understanding of flow dynamics and processes of ice/climate interactions of calving glaciers and for reducing the uncertainties in mass balance of calving glaciers and on their current sea level contributions in regions of high climate sensitivity. This work is based on data of the TanDEM-X and TerraSAR-X missions.
Project Team: German Aerospace centre (DLR) (PI), ENVEO Environmental Earth Observation IT GmbH.