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Measuring Biodiversity from Space

By combining remote sensing and machine learning, RISE develops methods to measure and monitor grazing pressure in natural pastures using satellite images.

January 1, 2024 | State of AI 2024 Report | Page 26–27
Aerial view of Swedish boreal forest
Photograph: GPT-IMAGE-1

By combining remote sensing and machine learning, a method is developed to measure and monitor grazing pressure in natural pastures using satellite images.

Enhancing Traditional Methods

This approach enhances traditional monitoring methods, providing more frequent and comprehensive data collection than ground-based surveys alone can achieve.

Conservation Impact

The method contributes to the conservation of biodiversity by enabling better management of grazing lands and natural pastures.

Applications

Satellite-based biodiversity monitoring enables:

  • Large-scale environmental assessment
  • Tracking changes over time
  • Identifying areas needing conservation attention
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