- π’ Work in Geoscience Australia's Digital Earth Australia program
- π°οΈ Using satellite data, data science, and data visualisation to better understand our changing planet
- π¨βπ» Expertise in scientific computing in Python and R (
xarray
,pandas
,opendatacube
,scipy
,numpy
,tidyverse
) - π Developer of the Digital Earth Australia Coastlines and DE Africa Coastlines coastal change datasets
- ποΈ Amateur nature photographer and cartographer at Earth Art Australia
- π Follow me on Twitter (@SatelliteSci) and LinkedIn (@SatelliteSci)
π°οΈ
Earth Observation Scientist at @GeoscienceAustralia. Using satellite data π°οΈ to study the earth π through space and time
- Canberra, Australia
-
18:33
(UTC -12:00) - @SatelliteSci
- @satellitesci.bsky.social
- in/satellitesci
- @SatelliteSci@mapstodon.space
Pinned Loading
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Useful shortcuts
Useful shortcuts 1**Jupyter**
23Autoreload in Jupyter notebooks:
4```
5%load_ext autoreload
-
GeoscienceAustralia/dea-notebooks
GeoscienceAustralia/dea-notebooks PublicRepository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
-
GeoscienceAustralia/dea-coastlines
GeoscienceAustralia/dea-coastlines PublicExtracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
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GeoscienceAustralia/dea-intertidal
GeoscienceAustralia/dea-intertidal PublicGenerating intertidal elevation, exposure and extents from satellite earth observation data and ocean tide modelling
-
GeoscienceAustralia/eo-tides
GeoscienceAustralia/eo-tides PublicTide modelling tools for large-scale satellite earth observation analysis
Jupyter Notebook 6
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