
Antarctica CCI+ - Calving Front Location
Detection of calving front locations in Antarctica using machine learning and satellite data.
Read moreDetection of calving front locations in Antarctica using machine learning and satellite data.
Read moreS&T will present supraglacial lake extent and depth at the Global Space Conference on Climate Change 2023
Read moreOn-demand detection of building footprints.
Read moreThe mass of the Greenland Ice Sheet is steadily decreasing. S&T is working on identifying supraglacial lakes using optical imagery (Sentinel-2) and AI
Read moreRaaS: AI research tailored to your needs
Read moreS&T 's automated ML framework tailored to Earth Observation
Read moreThe mass of the Greenland Ice Sheet is steadily decreasing. S&T has evaluated the capability of AI to identify supraglacial lakes using optical imagery (Sentinel-2)
Read moreThe state of the Greenland Ice Sheet is of global importance, and the Ice Velocity (IV) is identified as an essential climate change variable. S&T is responsible for calculating the optical IV from Sentinel-2 imagery within the GIS CCI project.
Read moreFor forest management the availability of complete and up-to-date forest inventories is essential, with one of the most important parameters being the volumetric tree species distribution.
Read moreRainforest deforestation is a major environmental challenge, causing loss of biodiversity, erosion and the release of stored carbon into the atmosphere contributing to climate change. Counteracting rainforest deforestation begins with monitoring individual events and finding the underlying primary drivers.
Read moreThe Greenland and Antarctic ice sheets are major components within Earth's climate system, and improving our knowledge of their dynamics is critical to improve the understanding of climate change. The Surface Mass Balance (SMB) is the net mass balance of accumulation and ablation processes operating on the surface of the ice sheet.
Read moreStraylight is something which is exhibited in any system of lenses, and causes light to be scattered in hard-to-predict ways. In the ESA's Instrument Data Simulator (IDS) project for the Sentinel-4 satellite’s inside the UVN spectrometer there are two detectors we are simulating, it's the UVVIS and NIR. As with all optics, these are susceptible to a range of phenomena that need to be accounted for. For the past six months, we've been working on implementing a simulation of the phenomenon called straylight.
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