Documentation#
The System for Earth Observation Data Access, Processing and Analysis for Land Monitoring (SEPAL) is an open-source project and platform empowering people around the world to gain a better understanding of land cover dynamics by facilitating the efficient access and use of Earth observation data – without the need of coding knowledge.
Learn how to use the platform with SEPAL documentation#
The SEPAL team developed this GitHub page to help users get the most out of the interface.
Getting started#
Set up your SEPAL account and request additional resources.
Register with Google Earth Engine (GEE) and connect your account to SEPAL.
Sign up to use Norway’s International Climate and Forests Initiative (NICFI) – PlanetLab data and connect your account to GEE.
Recipes and modules#
Run analysis with recipes – the foundation of SEPAL processes.
Run integrated workflows with modules – no need of coding experience required.
Compute your restoration index with se.plan, a spatially explicit online tool designed to support forest restoration planning decisions by restoration stakeholders.
Other resources#
Discover the impact of the project.
Learn more about the interface.
Browse the Suite of Tools.
SEPAL is always improving#
Encounter a problem? See an issue? Need help? Help our team members enhance user experience by improving the platform and its documentation.
About the platform#
SEPAL is part of the Open Foris Suite of Tools. The platform allows users to query and process satellite data quickly and efficiently, tailor their products for local needs, and produce sophisticated and relevant geospatial analyses. Harnessing cloud-based supercomputers and modern geospatial data infrastructures (e.g. GEE), the interface enables users to access and process historical satellite data as well as newer data from Landsat and higher-resolution data from Europe’s Copernicus programme.
SEPAL is a cloud computing-based platform for autonomous land monitoring using remotely sensed data. It is a combination of GEE and open-source software such as GDAL, Jupyter, the Open Foris Geospatial Toolkit, ORFEO Toolbox, Python, R, R Shiny Server, R Studio Server, and the SNAP Toolkit. The platform allows users to access powerful cloud-computing resources to query, access and process satellite data quickly and efficiently for conducting advanced analyses.
Supporting institutions#
SEPAL is a project funded by the Government of Norway from the Forestry Department of the Food and Agriculture Organization of the United Nations (FAO).
