Access optical and radar satellite data alongside weather data and machine-learning algorithms, enabling you to build solutions that monitor the environment and predict extreme events.
Geospatial projects in environmental protection face a number of challenges
Vast areas of interest
As much as 30% of the Earth's surface is covered by rainforest, which speaks to the sheer volume of imagery, which must be monitored to protect vital environmental resources.
Many influencing factors
From human activity to changing landscapes to meteorological warning signs, projects aiming to protect the natural environment must monitor and combine many data sources.
With an extreme acceleration of unpredictable natural events, it isn't easy to perform accurate historical analysis to inform decisions and make predictions in environmental protection projects.
Build geospatial projects for environmental protection
- Access a vast library of archive imagery or task a satellite
- Process imagery with change detection or predictive analytics
- Feed prediction results or imagery into your products via API
Use case spotlight
Monitor deforestation to assess environmental risks or regulatory infringement
High-resolution satellite imagery
Access a vast library of archive Pleiades imagery and task a satellite at regular intervals, guaranteeing high-quality capture at a low cloud coverage.
Assess the area of deforestation from one satellite image to another to get ongoing insights into the level of deforestation in your area of interest.
Automate and integrate insights
Use our Python SDK to automate and scale analysis, parallelizing jobs for large AOIs and seamlessly integrating insights into your own tools via API.
Additional environmental protection use cases built with UP42
The building blocks for environmental protection solutions
Archive and tasked imagery
Access a vast archive of optical and radar satellite imagery, alongside future tasked imagery at up to a 0.5 m resolution.
Weather data and more
Utilize 1000 near-real-time weather and Ocean parameters from Meteomatics and time-series data for water bodies from Terra Cover.
Pre-processing and analytics
Process your data with Raster Tiling and other pre-processing capabilities. Run that analytics-ready data through a range of machine-learning models.
Start building with UP42
Ready to get started? Create an account in seconds and we'll even give you 10,000 credits to get your first insights.