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Deforestation SAR

It is an advanced change detection tool for forest monitoring in any climate using SAR radar and machine learning. It processes multi-year satellite data into an RGB image that enables rapid identification of deforestation, regeneration, and land disturbances, even under cloud cover.

It is an advanced change detection tool designed for forest monitoring in any climate using Synthetic Aperture Radar (SAR) technology. Powered by machine learning, it processes multi-year satellite data into a single intuitive RGB composite image, enabling rapid identification of complex changes such as deforestation, regeneration, and soil disturbance, regardless of cloud cover.

Water production and storage, and water use efficiency

Main theme:

North

Region:

300 - 400

Precipitation (mm):

Medium

Application difficulty:

1, 2, 8, 5, 10, 13, 15, 14, 12 and 17

SDGs impacted:

Electric

Energy used:

70 - 90

Efficiency (%):

Urban/Rural

Sector:

Strengthens evidence of good practices: By providing irrefutable and comprehensive data, it enables farmers to generate the strongest proof that their land is deforestation-free, ensuring access to premium sustainable markets.

Verifies on-farm restoration: It allows farmers to continuously monitor the progress of their reforestation efforts, providing reliable data to manage projects and validate success for carbon credit programs or certifications.

Acts as an early warning system: It can detect subtle disturbances along or near farm boundaries, alerting farmers to potential threats before significant environmental damage occurs.

Expected environmental impact:

Free

Estimated value:

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