Time and tide. Mapping the changing 3D shape of Australia’s coastline using p
summary
Digital Earth Australia Intertidal generates yearly coastal elevation models from Landsat and Sentinel-2 stacks using Open Data Cube and DEA Tools, plus a new EO Tides Python package for per-image tide heights, and can map 2016–today at fine scale. The method reduces imagery needs, achieves about 30 cm vertical accuracy where tidal ranges are large (works poorly on steep, wave‑dominated beaches), produces time series for volume differencing, and supports optical‑flow vectors to track multi‑kilometre sandbank movement. Data and code are open.
AI-written summary · about
chapters (14)
- 0:00Introduction to coastline mapping
- 1:04Digital Earth Australia overview
- 3:31Intertidal zone challenges
- 5:15New elevation modeling method
- 6:39Improved coastline detail
- 7:21Validation with aerial lidar
- 8:24Model accuracy and limitations
- 9:46Tracking coastal change over time
- 10:51Sediment movement analysis
- 11:57Optical flow for sediment tracking
- 13:41Global application with Open Data Cube
- 14:44Open source tools and packages
- 15:46EO Tides package demo
- 16:32Q&A on sea level rise and lidar
related talks
16mThe Open Data Cube and working towards a Digital Earth
24mEnvironmental Monitoring with Large-Scale Land Cover Classification
33mWhat is Digital Earth Pacific
34mGeoscience Big Data Computing with Python
14mSatellite data monitoring for analytical models
11mTerraKit: Standardising AI-Ready Geospatial Data...
16mBuilding Heights: From Open USGS lidar to open Overture maps
17mOpening a treasure trove: The Historical Aerial Photography project
