Murray Global Intertidal Change QA Pixel Count

UQ/murray/Intertidal/v1_1/qa_pixel_count
Dataset Availability
1984-01-01T00:00:00Z–2017-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("UQ/murray/Intertidal/v1_1/qa_pixel_count")
Tags
coastal google intertidal landsat-derived murray tidal-flats uq

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)

The number of Landsat images used to develop the Landsat covariate layers in each time step of the tidal flat classification. Each image in the image collection refers to a single time step.

Bands

Resolution
30 meters

Bands

Name Units Min Max Description
pixel_count count 0 400

Input image count.

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

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.

DOIs

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('UQ/murray/Intertidal/v1_1/qa_pixel_count');

var visualization = {
  bands: ['pixel_count'],
  min: 0,
  max: 300,
  palette: ['000000', 'ffffff']
};

Map.setCenter(126.6339, 37.4394, 10);

Map.addLayer(dataset, visualization, 'QA Pixel Count');
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