Name: Robbi Bishop-Taylor
Type: User
Company: @GeoscienceAustralia
Bio: Earth Observation Scientist at #DigitalEarthAU/@GeoscienceAustralia
Using satellite data, data science & dataviz to study the earth through time and space
Twitter: SatelliteSci
Location: Canberra, Australia
Robbi Bishop-Taylor's Projects
Every mapped stream and river in Australia
A curated list of awesome resources for coastal engineers and scientists
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
Plotting output of camera trap footage for Sugar Creek Road
Resume / CV for Robbi Bishop-Taylor (Earth Observation / Geospatial Data Scientist)
Open Data Cube analyses continental scale Earth Observation data through time
Best intentions to provide a space to collaborate on a scientific paper on the Open Data Cube
Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Notebooks for the Digital Earth Africa Sandbox
Code and tools for Digital Earth Australia (a deployment of Open Data Cube)
Automation scripts for EarthArtAustralia maps
Tools for spatial analysis in R and Python
A python class for loading GESLA data files into convenient in-memory data objects
Geoms to make ridgeline plots with ggplot2
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Jupyter notebook code to generate filmstrips of coastal change using DEA landsat data and geomedians
Jupyter notebook for classifiying ITEMv2 polygons by Landsat observation offsets and spread
Jupyterhub custom templates
Minimalist maps of the Earth's surface using ridgeline/joyplots
3D visualisations for the National Intertidal Digital Elevation Model (NIDEM)
ODC features that DEA is experimenting with or prototyping with the intention of being integrated into odc-core in the future
R Package for Raytracing Elevation Matrices to Produce Global Illumination Relief Maps
Outputs of archaeological site preference analysis for the Upper Tundzha valley, Bulgaria
N-D labeled arrays and datasets in Python
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent