Apply a range of pre-processing and analytical capabilities to high-resolution commercial or satellite data to build solutions for deforestation mapping, urban planning, and more.
Geospatial projects in land use and management face a number of challenges
Vast data requirements
From rainforests to cities, land management generally requires the monitoring of extensive areas. This typically results in compromises to either budget or spatial resolution.
Regular image requirements
To effectively monitor and manage land use, from patterns of life in cities to illegal deforestation, frequent image capture is key to making quick, effective decisions.
Very large areas to analyze
Manual interpretation of imagery isn't feasible when the areas of interest are hundreds of kilometers. Analytics must be applied to gather insights that are timely and actionable.
Land Use and Management
Build geospatial projects for land use and management
- Access a vast library of archive imagery or task a satellite
- Process imagery with change or object detection algorithms
- 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 land use and management use cases built with UP42
The building blocks for land use and management solutions
Scalable imagery pricing
Access a range of commercial and open data sets for free or with usage-based pricing to maintain affordability for large AOIs.
Enhance image quality, convert input data, or clip raster images into tiles to ensure that your input image is ready for further analysis.
Automatically map deforestation, detect vehicles or buildings, analyze change, and more with out-of-the-box machine-learning algorithms.
Start building with UP42
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