Dynamic World provides global, near real-time land cover data at a 10 meter resolution, giving an unprecedented level of detail about what's on the land and how it's being used.
Google-earth-engine
- Check out this large collection of tutorials on Google Earth Engine, WhiteboxTools, and more. The blog is created by Dr. Qiusheng Wu, author and contributor of many open source geospatial projects.
- GEE Time Series Exlorer is a QGIS plugin for interactive exploration of temporal raster data available via the Google Earth Engine (GEE) Data Catalog.
- Check here for a presentation by Dr. Qiusheng Wu on using Python for geospatial analysis and interactive mapping.
- How is tree loss affecting forests near you? Check out by drawing an area on the map and running the script here. A chart with annual affected areas will be displayed.
- This article introduces the launch of Google Earth Engine FeatureView assets, a new data type for rapid rendering of vector datasets with pre-computed map tiles. Read more here.
- Check out these cheat sheets for using Google Earth Engine for R.
- Easystac is a Python package that provides users of STAC objects as well as clients from Planetary Computer and Radiant ML Hub with an API to query, explore and convert STAC assets to xarray objects.
- Here is a collection of Jupyter notebooks for learning Google Earth Engine Python API and geemap, assembled by geemap's author, Dr. Qiusheng Wu.
- Add custom basemaps from Snazzy Maps to your Google Earth Engine application or notebook with a couple lines of code. Run a demo in the code editor here.
