How-to guides

A recipe book of simple code examples demonstrating how to perform common geospatial analysis tasks using DEA and open-source software.

Extract and analyse data for multiple polygons
Generating animated time series using xr_animation
ARD overpass predictor
Calculating band indices
Extracting contour lines
Generating continental-scale animations
Detecting seasonality
Downloading and streaming data using STAC metadata
Exporting cloud-optimised GeoTIFF files
Exporting data to NetCDF files
Integrating external data from a CSV
Generating composite images
Generating geometric median composites (geomedians)
Image segmentation
Displaying satellite imagery on a web map
Interpolating spatial data using xr_interpolate
Plotting animations of land cover
DEA Land Cover change mapping
DEA Land Cover pixel drill
Exporting Land Cover summary statistics
Machine learning with the Open Data Cube
Masking data using the Fmask cloud mask
Opening GeoTIFF and NetCDF files with xarray
Pansharpening Landsat using xr_pansharpen
Combining data from DEA and Microsoft Planetary Computer
Polygon drill
Polygonising pixel edges
Principal component analysis for multi-spectral data
Extracting random samples from xarray.DataArray
Rasterizing vectors & vectorizing rasters
Reprojecting datacube and raster data
Masking sunglint from satellite imagery
Modelling tides for coastal satellite data analysis
Using load_ard to load and cloud mask Landsat and Sentinel-2
Loading data using virtual products
Working with time in Xarray

Citing DEA Notebooks

If you use any of the notebooks, code or tools in this repository in your work, please reference them using the following citation:

Krause, C., Dunn, B., Bishop-Taylor, R., Adams, C., Burton, C., Alger, M., Chua, S., Phillips, C., Newey, V., Kouzoubov, K., Leith, A., Ayers, D., Hicks, A., DEA Notebooks contributors 2021. Digital Earth Australia notebooks and tools repository. Geoscience Australia, Canberra. https://doi.org/10.26186/145234