A web-based geospatial data catalogue explorer with medium to high resolution data. DESA Mapping platform features include services such as: data upload, change detection, data comparison, time series and story creation.
Users – including students, the public, researchers, and data scientists – can get their work done in their own workspaces on shared resources.
JupyterHub runs on SANSA servers and is able to serve a pre-configured data science environment to any user in the world by providing users access to computational environments and resources.
Provides users access to DESA data via standard web services using their own applications. Web Mapping Services (WMS) are currently offered.
OWS can be used to add DESA imagery layers to commonly used GIS applications such as QGIS and ArcGIS. Many existing online map explorers also support adding WMS layers through simply pasting the OWS URLs.
A regularly updated resource that can be used by advanced users to reference any work done using DESA data, for example in JupyterHub. Users can explore all the DESA data layers on a map interface along with their dates, map footprints and any associated metadata.