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ML Algorithm for Satellite Image FilterinG

Satellite remote sensing provides valuable images that are used by global governments and businesses to make precise forecasts and use resources efficiently.

R&D Demo | Cloud masking
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The Camp Fire grew to become the destructive wildfire

Numerous industries benefit from remote satellite sensing

Applications Area

Insurance

Type measurements

Burn delineation

Deforestation

etc...

Agriculture

Field inspection

Crops control

Soil mapping

etc...

Construction

Mineral exploration

Baseline infrastructure

Event mapping

etc...

Geology

Wetlands mapping

River change detection

Measuring snow thickness

etc...

Hydrology, environment monitoring, healthcare, military

and a lot more...

challenge

However, clouds and the shadows they cast on the Earth often obscure key features

Difficulty

Overuse

Value

67% of the Earth's surface is typically covered by clouds at any one time.

Therefore, a significant part of satellite images contain only partial data.

This results in considerable increases in time and costs to sort cloudy for non-cloudy images.