Circumboreal forests are located primarily in Alaska, Canada, and Northern Eurasia representing close to 30% of all forested land areas and are strongly changing in response to climate and increasingly frequent disturbances such as fires and drought. Remote sensing applications for landcover in high latitudes are possible but remain challenging for optical satellite sensors due to long lasting...
Global Navigation Satellite System Reflectometry (GNSS-R), which exploits GNSS signals reflected off the Earth surface, is a novel remote sensing technique for monitoring surface properties such as ocean winds and soil moisture. Spaceborne GNSS-R employs cost-efficient receivers operating on Low Earth Orbit (LEO) satellites, providing abundant observations with broad coverage and improved...
The research explores the use of Artificial Intelligence (AI) to advance building information extraction and its 3D modeling through innovative computer vision techniques applied to 3D remote sensing. The primary goal is to enable detailed building information extraction and reconstruction from satellite imagery, supporting a wide range of applications such as enhancing OpenStreetMap (OSM) and...
The combined pressures of climate change and resource use on forests demand timely and accurate on forest responses to climate and disturbances. In this context, Earth observation has proven as a valuable tool for large scale, timely assessments. However, EO data always needs to be calibrated and validated based on reference observations. StrucNet aims to provide these reference observations...
Sporadic E layers are thin regions of enhanced electron density appearing in the E-region of Earth’s ionosphere. Due to their large vertical electron density gradients, the layer are strongly disturbing global communication and navigation signals. Their footprint appears as strong fluctuations in the Signal-to-Noise ratio profiles of GNSS radio occultation measurements.
In this study, we...
