As a constellation of two polar-orbiting satellites they carry a 12 m-long advanced synthetic aperture radar (SAR), working in C-band. The Sentinel-1 constellation provides high reliability, improved revisit time, geographical coverage and rapid data dissemination to support operational applications in the priority areas of marine monitoring, land monitoring and emergency services. The advantage of radar as a remote sensing tool is that it can continuously image Earth’s surface through rain and cloud, and regardless of whether it is day or night. This is particularly useful for monitoring areas prone to long periods of darkness – such as the Arctic – or providing imagery for emergency response during extreme weather conditions.
Sentinel-2 carries an innovative wide swath high-resolution multispectral imager with 13 spectral bands for a new perspective of our land and vegetation. The combination of high resolution, novel spectral capabilities, a swath width of 290 km and frequent revisit times provides unprecedented views of Earth.
Sentinel-3 will measure systematically Earth’s oceans, land, ice and atmosphere to monitor and understand large-scale global dynamics. It will provide essential information in near-real time for ocean and weather forecasting by measuring sea surface topography, sea and land surface temperature, and ocean and land surface color with high accuracy and reliability.
A notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
It is based on the Open Source Jupyter notebooks application, and tailored to the needs of remote sensing users. Each notebook has direct access to the Terrascope, PROBA-V, SPOT-VGT and Copernicus Global Land datasets. Read more...
With the user Virtual Machine (VM), a developer or researcher can access a Virtual Research Environment with access to the complete Terrascope data archive and a powerful set of tools and libraries to work with the data (e.g. SNAP toolbox, GRASS GIS, QGIS) or to develop-debug test applications (R, Python or Java).
After the prototyping phase, the Terrascope processing environment can be used for larger scale processing. Read more...