Datasets & Software
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 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 www.global-ecosystems.org.
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 https://myanmar-ecosystems.org for further information.
Australia Saltmarsh Map
In collaboration with Geoscience Australia, Clean Energy Regulator, and UNSW, we are developing Australia's first continent-wide, nationally consistent map of saltmarsh ecosystems to support the Blue Carbon Method. Visit www.saltmarshes.org for further information.
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.
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 allencoralatlas.org 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.
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.