AI for Earth technical resources
Our engineering and data science team releases open-source tools, models, infrastructure, data, and APIs to support sustainability and environmental science.
Supporting sustainability decision-making
The Planetary Computer combines a multi-petabyte catalog of global environmental data with intuitive APIs, a flexible scientific environment that allows users to answer global questions about that data, and applications that put those answers in the hands of conservation stakeholders.
Classifying birds in acoustic recordingsGet bird classification code
Mapping land in the Orinoquía regionGet natural resource mapping code
Accelerating camera trap survey workflowsGet camera trap code
Classifying plants and animals in citizen-science photosGet species classification code
The AI for Earth API Framework: from ML models to Web APIsGet API Framework code
The AI for Earth API Platform: Web APIs on a scalable clusterGet API Platform code
Biodiversity and pathogen monitoring via insect capture and genomic analysis
Precision agriculture via connected sensors
Land cover mapping
Applying machine learning to satellite and aerial data to facilitate land management