Image Credit: ENVEO/Jan Wuite
SnowDrone
Objective
Develop and evaluate an algorithm for deriving Snow Melt Phases (SMP) products for Hydroterra+.
Assess the impact of snowfall and/or surface melt occurring during the integration time of Hydroterra+ acquisitions on overall image quality.
Investigate the potential of SAR tomography for retrieving snow height and snow water equivalent (SWE) in preparation for a future dedicated snow satellite mission.
Data
The project brings together a comprehensive range of EO satellite data and products describing parameters contributing to iceberg calving. Because of the complexity of ice shelves, these include observations of processes that operate at the surface, within, and beneath the ice.
Ambition
Our ambition is to provide an adaptable and transferable framework for a future AI-based early warning system, that harnesses the power of instreaming EO datasets to deliver actionable information to a range of scientific and governmental stakeholders.
Funding
The project is supported by the European Space Agency (ESA), Contract No. 4000152559/26/NL/IB/ar
This project aims to develop and evaluate an algorithm for deriving Snow Melt Phases (SMP) products for Hydroterra+. It will assess the impact of snowfall and/or surface melt occurring during the integration time of Hydroterra+ acquisitions on overall image quality. Furthermore, it will investigate the potential of SAR tomography for retrieving snow height and snow water equivalent (SWE), in preparation for a future dedicated snow satellite mission.
The project includes one pre-campaign in autumn 2026 and two multi-day measurement campaigns at the Gossenköllesee high-mountain test site during winter and spring 2026/2027. The winter campaign (January/February 2027) will focus on dry snow conditions, while the spring campaign (March/April 2027) will investigate wet snow and surface melt–refreeze processes. Both campaigns will combine C-band SAR drone observations, X-band tomographic SAR (TOMOSAR) acquisitions, in-situ snow measurements and meteorological observations to investigate snowpack properties and their temporal evolution. Each campaign will last up to eight days, with timing adapted to weather and snow conditions to ensure safe operations and optimal measurement opportunities.
The project will kick off on 29 October 2026 at ENVEO in Innsbruck, followed by an initial reconnaissance visit to the field site. Further updates will follow soon.
Our consortium brings together a world-leading team of Earth Observation and AR experts, with a strong track record in developing satellite retrieval, and a history of high-impact science. Our team has been at the forefront of developing novel applications for a diverse range of EO datasets, including observations of snow and radar measurements of surface melt
Project Results will be added here
Image Credit: ENVEO/Jan Wuite