This project complements on-going activities and other activities started under this call for proposals by focussing on optimising the techniques for the detection of marine litter in SAR data. This complements the use of optical data and modelling in order to progressively build up an integrated picture as to how marine litter (and marine plastics …
Historically for land application, synthetic aperture radar (SAR) satellite imagery has often been seen only as as complement to optical remote sensing in cloud covered areas. There are several reasons for this: 1) the threshold of interpretation and understanding of SAR imagery is often perceived as very high to an untrained user, 2) the human …
ESA has opened a re-run of the successful Massive Open Online Course ‘Echoes in Space – An Introduction to Radar Remote Sensing’. The re-run is currently accessible free of charge on the eLearning platform EO College (https://eo-college.org), as from 16th September 2019 for a period of 12 months. Registration is possible anytime during the duration …
Being a mountainous country, with long fjords and steep valley sides, Norway is particularly susceptible to large rock avalanches. In the last 100 years, over 170 people have been killed by tsunamis in fjords caused by large rock avalanches. In each case, the rock avalanche was preceded by many years of slow movement, with acceleration …
Characterization of forest biogeochemical cycles is of paramount importance in Earth system science to understand contemporaneous dynamics and for expanding global land models in order to predict future trends of vegetation and climate. Thanks to the increasing amount of spaceborne observations of land and ocean surfaces, data-driven models are revealing intriguing trends and mechanisms and …
The MATTCH project – Machine Learning methods for SAR-derived Time Series Trend Change Detection – aims to apply Machine Learning techniques to InSAR (Interferometric Synthetic Aperture Radar) derived surface deformation measurements, with the goal of identifying, among the huge number of measurement points (MP) identified by advanced InSAR algorithms, the ones exhibiting displacement time series …
Scientific exploitation and validation of the interferometric TOPS mode implemented on the Sentinel-1 mission.Developement and implementation of advanced algorithms for Sentinel-1 TOPS data exploitation. Confirm and document Sentinel-1 interferometric performance. Assess the synergy between Sentinel-1 and previous C-band SAR missions. Adapt already successful DINSAR and PSI techniques to TOPS SAR data. Provide the scientific community …
Scientific exploitation and validation of the interferometric TOPS mode implemented on the Sentinel-1 mission.Developement and implementation of advanced algorithms for Sentinel-1 TOPS data exploitation. Confirm and document Sentinel-1 interferometric performance. Assess the synergy between Sentinel-1 and previous C-band SAR missions. Adapt already successful DINSAR and PSI techniques to TOPS SAR data. Provide the scientific community …
The project aims to develop synergetic wind- wave- and radial surface current retrieval from S-1 SAR data (all modes) The objective of this study is to develop improved L2 ocean product prototypes for Sentinel-1 mission fulfilling the requirements of the wide ocean user community. Those prototype products will aim at: Taking benefit of the new …
The main objective is the development, implementation and validation of methods and tools for generating maps of snowmelt area based on SAR data of the Sentinel-1 mission and the combination with snow products derived from optical sensors of Sentinel-2 and Sentinel-3 missions. The developed algorithm will be used to generate multi-sensor pan-European snow products. A …
