Datasets & Software

Global Intertidal Change

Simultaneous mapping of mangrove, tidal flat and saltmarsh ecosystems. The first consistent global time-series for robust intertidal ecosystem monitoring and alerts. Read the Science paper here and visit the GIC website to view the data here.

Global Tidal Flats

A machine- learning analysis of over 700,000 satellite images to develop the first map of the global distribution and change of tidal flats over a 30-year period. Read the Nature paper here and use our app to access the dataset

Remap is a free, online mapping platform for people with little technical background in remote sensing. Funded by Google in 2017, we developed Remap to enable you to quickly map and report the status of ecosystems. Read the MEE paper here and access Remap here


An open-access global training set of coastal ecosystems to support global analyses of distribution and change of the global coastal zone. Built in collaboration with the Global Mangrove Watch and Allen Coral Atlas teams. Learn more about coastTrain here.

Global Tidal Marsh Dataset

Our collaborative team led by Dr Tom Worthington developed the first globally consistent tidal marsh distribution map. The map depicts the estimated distribution for tidal marshes globally for the year 2020 at 10-m resolution. Read thepaper, which describes the methods and results of this analysis, here and access the data via web-app here

Australia Saltmarsh Map

In collaboration with Geoscience Australia, Clean Energy Regulator, and UNSW, we have developed Australia's first continent-wide, nationally consistent map of saltmarsh ecosystems to support the Blue Carbon Method. Use our app to access the dataset here and obtain the dataset here.

Global Ecosystem Typology

Led by Professor David Keith, the IUCN Global Ecosystem Typology was developed to create a comprehensive and consistent framework that supports efforts for assessing and managing the world’s ecosystems and their services. Visit

Myanmar ecosystem assessment

To support the Threatened Ecosystems of Myanmar project, a national scale Red List of Ecosystems assessment, we developed classification of Landsat and Sentinel data to map the Biomes, Realms, and Ecosystems of Myanmar. Download the raster and vector files of Myanmar's terrestrial ecosystem distributions here. Read our paper on the status of Myanmar Ecosystems in Biological Conservation and visit for further information.

redlistr: R package

Redlistr is an R package developed to support assessments of species and ecosystems against the IUCN Red List of Threatened Species and the IUCN Red List of Ecosystems categories and criteria. Access the package here and read the Ecography paper here

Allen Coral Atlas

Our lab was part of the Allen Coral Atlas team, tasked to develop the world's first high resolution maps of coral reef ecosystems. Visit and read some of the key project publications here, here and here.

IUCN Red List of Ecosystems

Since 2014, we have contributed to the global effort to assess the status of Earth's ecosystems. Visit the IUCN Red List of Ecosystems website, download the guidelines for assessment, and some of our key papers here, here and here

Earthtones: R package

Earthtones is an R package that downloads a satellite image for a place on earth, translates the image into a perceptually uniform color space, and returns a color palette for use in figures. Developed with a simple idea over lunch at UNSW with Will Cornwell and Mitch Lyons. Earthones is here.

Global aquaculture (experimental)

We host 20TB of analysis ready coastal covariate layers suitable for quickly developing and deploying novel remote sensing analyses at the global scale. Our experimental global aquaculture map has been run only once globally using our in-house coastal training sets, and is likely to benefit from substantial further model development. 


See our publicly available code repositories here and here