PROJECT-7
ForestSAT machine learning algorithms process and analyze nearly 20 + years of Satellite imagery, forest, soil, water and climate impact data from Earth Observation Satellites.
Sentinel-2
Source: ESA
Sentinel-2 is an Earth observation mission from the Copernicus Programme that systematically acquires optical imagery at high spatial resolution (10 m to 60 m) over land and coastal waters. The mission is currently a constellation with two satellites, Sentinel-2A and Sentinel-2B; a third satellite, Sentinel-2C, is currently undergoing testing in preparation for launch in 2024.[4]
The mission supports a broad range of services and applications such as agricultural monitoring, emergencies management, land cover classification or water quality.
Sentinel-2 has been developed and is being operated by the European Space Agency, and the satellites were manufactured by a consortium led by Airbus Defence and Space.
The Sentinel-2 mission has the following key characteristics:
- Multi-spectral data with 13 bands in the visible, near infrared, and short wave infrared part of the spectrum
- Systematic global coverage of land surfaces from 56° S to 84° N, coastal waters, and all of the Mediterranean Sea
- Revisiting every 10 days under the same viewing angles.
- At high latitudes, Sentinel-2 swath overlap and some regions will be observed twice or more every 10 days, but with different viewing angles.
- Spatial resolution of 10 m, 20 m and 60 m
- 290 km field of view
- Free and open data policy