Species Conservation Landscape (SCL) are freely accessible, and the code to generate them is fully open souce, because we support the transparency and reproducibility of Open Science. It also helps conservation.
Data are licensed under the Creative Commons Attribution-NonCommercial_ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) license. Please cite this paper in all uses.
All SCL calculations are based on a common task framework written in Python and making heavy use of the Earth Engine API. Each task is a separate Git repository hosted under a GPL 3.0 license on GitHub, inheriting from a common set of classes Docker container maintained in task_base. READMEs and code is fully accessible at the link below.
Google Earth Engine
SCL calculations are performed within the task framework referenced
below, with Google Earth Engine at its core. Earth Engine is a
Cloud-based framework that combines a multi-petabyte catalog of Earth
Observation data from NASA and other sources with a powerful geospatial
analysis API. SCL outputs are stored in an
subdirectories by species (e.g.
Landscape assets available in the
../canonical/pothab directory by landscape type and
timepoint or by following the link below.
Outside Google Earth Engine
For those without GEE access, SCL assets are exported as GeoJSON files and ESRI Shapefiles for each time point. Note that there is a slightly different field naming structure because of limits on shapefile fieldname lengths.