PROJECT-5

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 Family

  • Sentinel-2 serves a wide range of applications related to Earth’s land and coastal water.
  • The mission provides information for agricultural and forestry practices and for helping manage food security. Satellite images will be used to determine various plant indices such as leaf area chlorophyll and water content indexes. This is particularly important for effective yield prediction and applications related to Earth’s vegetation.

Image: ESA

ESA – Copernicus Sentinel data

Above-ground biomass in tons/ha estimated from SAR images, acquired by Copernicus Sentinel-1A in 2015, for a 150 x 90 km2 east-west transect in Southern Sweden, including the lakes of Vänern and Vättern.

The region is characterised by productive forests, cropland, pasture and lakes. Detailed and up-to-date information on forest biomass obtained with Sentinel-1 imagery support the work of forest agencies, land owners, climate and environmental modellers.

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