- Dataset Availability
- 1984-01-01T00:00:00Z–2017-01-01T00:00:00Z
- Dataset Provider
- Murray/UQ/Google/USGS/NASA
- Earth Engine Snippet
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ee.Image("UQ/murray/Intertidal/v1_1/data_mask")
- Tags
Description
The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data.
The classification was implemented along the entire global coastline between 60° North and 60° South from 1 January 1984 to 31 December 2016. The image collection consists consists of a time-series of 11 global maps of tidal flats at 30m pixel resolution for set time-periods (1984-1986; 1987-1989; 1990-1992; 1993-1995; 1996-1998; 1999-2001; 2002-2004; 2005-2007; 2008-2010; 2011-2013; 2014-2016)
Flag indicating the spatial limits of the implementation of the tidal flat classifier as defined by altitudinal (+100m) and bathymetric (-100m) limits.
Bands
Resolution
30 meters
Bands
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datamask |
occurrence | A flag to indicate data inclusion. |
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Terms of Use
Terms of Use
This work is licensed under a Creative Commons Attribution 4.0 International License.
Any use of the intertidal data must include proper acknowledgement, including citing the associated journal article.
Citations
Murray, N.J., Phinn, S.R., DeWitt, M., Ferrari, R., Johnston, R., Lyons, M.B., Clinton, N., Thau, D. & Fuller, R.A. (2019) The global distribution and trajectory of tidal flats. Nature, 565, 222-225. doi:10.1038/s41586-018-0805-8,
Murray, N. J., Phinn, S. P., Fuller, R. A., DeWitt, M., Ferrari, R., Johnston, R., Clinton, N., & Lyons, M. B. (2022). High-resolution global maps of tidal flat ecosystems from 1984 to 2019. Scientific Data, 9(1). doi:10.1038/s41597-022-01635-5,
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.Image('UQ/murray/Intertidal/v1_1/data_mask'); var visualization = { bands: ['datamask'], min: 0, max: 1, palette: ['000000', 'ffffff'] }; Map.setCenter(126.6339, 37.4394, 10); Map.addLayer(dataset, visualization, 'Data mask');