New #opensource toolbox to map water surface areas from #Landsat and #sentinel2 developed with Shirui Hao, available at It provides a very efficient raster-based process that can be deployed in @Google Earth Engine for monitoring large areas at low cost.

🛰️Big update!🌊.New EO platform at with updated satellite-derived shoreline change time-series from 1984 to 2024 with #CoastSat and #Landsat for Australia, California, Mexico, Japan, NZ, Peru, Chile, US East Coast (Delaware to Texas). #EarthObservation

Join millions who have switched to Grok.

I'll be attending the Space Tech Expo Europe tomorrow in Bremen, if anyone is also planning to be there would be nice to catch up and discuss the latest in Earth Observation!. #SpaceTechExpo

First Medium article on: Mapping coastal change from space (Part 1)

#CoastSat 3.0 is now live! This release includes integration with the FES2022 global tide model ( developed by @CNES, which makes it now possible to apply a tidal correction and estimate beach slopes directly in CoastSat.

RT @anardeeek: I am advertising a two-year postdoc related to remote sensing of chronic coastal floods. The position will be jointly at UNC….

congrats @fme_muir ! great to see the #CoastSat workflow adapted to mapping vegetation lines.

nice story from USGS on our collaborative work on shoreline monitoring using publicly available satellite imagery.

Last call to register for the .UNESCO IGCP Project 725 Virtual workshop on "Mining the Historical Coastal Record". It is free and only takes 1 minute to register (. Full program below 👇 #freeworkshop #coastalchange

📢New #CoastSat release (:.- create an animation with the mapped shorelines like below.- advanced time-series analysis including long-term trends.- option to adjust the s2cloudless probability threshold for better cloud masking.#coastal #Landsat #Sentinel2

RT @timothydprice: 📢#PhD vacancy! @TjeerdBouma and me seek a candidate for a 4-year, fully-funded project:. Enhancing estuarine flood resil….

RT @denicmarko: Backend developers after writing CSS for 20 minutes:

I have uploaded on @EarthArXiv a preprint of the accepted version of our paper "Pacific shoreline erosion and accretion patterns controlled by El Niño/Southern Oscillation" published in Nature Geoscience. This is possible after the 6 months embargo period.

RT @CommsEarth: A benchmarking study of five satellite-derived shoreline mapping algorithms at four sandy beaches demonstrates a horizontal….

RT @calebrob6: 1/ 🎉 I'm really excited to announce the release of TorchGeo 0.5.0! This is a Python library for using PyTorch with geospatia….

I would like to thank all my co-authors from the 5 different SDS teams who contributed greatly to this work and were super enthusiastic to share data and outputs throughtout the project.

The repository can be used to transparently test new developments and future enhancements in satellite-dervied shoreline mapping. Join the 'SatelliteShorelines' organisation if you are interested in the topic!

Based on the analysis of the sources of error, the following areas of improvement are identified:.- implement automated co-registration to reduce georeferencing errors.- develop new shoreline proxies for macrotidal beaches that can be mapped automatically (like wet/dry line).

We found that "no one algorithm is more accurate than all others in every situation". Overall, the horizontal accuracy is around 10 m at microtidal sites, but deteriorates as the tidal range increases to more than 20 m for a high-every macrotidal beach (Truc Vert, France).

5 algorithms are used to map shorelines on #Landsat and #Sentinel-2 images and evaluated against standardised validation data at 4 long-term monitored coastal sites: Narrabeen (Australia), Duck (USA), Torrey Pines (USA) and Truc Vert (France). All data are available in the repo.