The Planetary Computer

Accelerating environmental sustainability and Earth science on the cloud.


APIs

AI for Earth APIs allow application developers to accelerate their conservation applications with machine learning.

Land Cover Mapping

The Land Cover Mapping API leverages machine learning to provide high-resolution land cover information.

Request an API key

Land Cover Mapping notebook

Go to LCM notebook

Land Cover Mapping docs

Go to LCM docs

Land Cover Mapping code

Explore LCM code

Species Classification

The Species Classification API enables developers to leverage deep learning models for recognizing plants and animals.

Request an API key

Species Classification demo

Try Species Classification demo

Species Classification notebook

Go to Species Classification notebook

Species Classification docs

Go to Species Classification docs

Species Classification code

Explore Species Classification code

Camera Trap Image Processing

The Camera Trap Image Processing API accelerates biodiversity surveys by detecting and localizing animals in camera trap images.

Request an API key

Camera trap demo

Try Camera Trap demo

Camera Trap notebook

Go to Camera Trap notebook

Open-source code

We are committed to making our work available for others to build on, by releasing code and trained models on GitHub.

Explore AI for Earth on GitHub

Research

In addition to the research we support through our grants program, we work with collaborators in Microsoft Research to drive innovation in environmental science. Explore these AI for Earth projects at Microsoft Research.

*Magpie goose taking off; photo by Djambalawa, provided under Creative Commons.