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。
[null,null,[],[[["\u003cp\u003eThe Murray Global Intertidal Change Dataset provides global maps of tidal flat ecosystems from 1984 to 2016, created by classifying over 700,000 Landsat images.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset uses a supervised classification to categorize each pixel as tidal flat, permanent water, or other, based on global training data.\u003c/p\u003e\n"],["\u003cp\u003eCovering coastlines between 60° North and 60° South, the dataset offers 11 global maps of tidal flats at 30m resolution for specific time periods.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes the number of Landsat images used for developing covariate layers in each time step of the tidal flat classification.\u003c/p\u003e\n"],["\u003cp\u003eIt is licensed under Creative Commons Attribution 4.0 International, requiring proper acknowledgement and citation of the associated journal article when used.\u003c/p\u003e\n"]]],[],null,["# Murray Global Intertidal Change QA Pixel Count\n\nDataset Availability\n: 1984-01-01T00:00:00Z--2017-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Murray/UQ/Google/USGS/NASA](https://intertidal.app)\n\nCadence\n: 3 Years\n\nTags\n:\n[coastal](/earth-engine/datasets/tags/coastal) [google](/earth-engine/datasets/tags/google) [intertidal](/earth-engine/datasets/tags/intertidal) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [murray](/earth-engine/datasets/tags/murray) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [tidal-flats](/earth-engine/datasets/tags/tidal-flats) [uq](/earth-engine/datasets/tags/uq) \n\n#### Description\n\nThe Murray Global Intertidal Change Dataset contains global maps of tidal flat\necosystems produced via a supervised classification of 707,528 Landsat\nArchive images. Each pixel was classified into tidal flat, permanent water\nor other with reference to a globally distributed set of training data.\n\nThe classification was implemented along the entire global coastline\nbetween 60° North and 60° South from 1 January 1984 to 31 December 2016.\nThe image collection consists consists of a time-series of 11 global maps\nof tidal flats at 30m pixel resolution for set time-periods (1984-1986;\n1987-1989; 1990-1992; 1993-1995; 1996-1998; 1999-2001; 2002-2004;\n2005-2007; 2008-2010; 2011-2013; 2014-2016)\n\nThe number of Landsat images used to develop the Landsat covariate layers\nin each time step of the tidal flat classification. Each image in the image\ncollection refers to a single time step.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------|-------|-----|-----|------------|--------------------|\n| `pixel_count` | count | 0 | 400 | meters | Input image count. |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis work is licensed under a Creative Commons Attribution 4.0\nInternational License.\n\nAny use of the intertidal data must include proper acknowledgement,\nincluding citing the associated journal article.\n\n### Citations\n\nCitations:\n\n- Murray, N.J., Phinn, S.R., DeWitt, M., Ferrari, R., Johnston, R., Lyons, M.B.,\n Clinton, N., Thau, D. \\& Fuller, R.A. (2019) The global distribution and\n trajectory of tidal flats. Nature, 565, 222-225.\n\n### DOIs\n\n- \u003chttps://doi.org/10.1038/s41586-018-0805-8\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('UQ/murray/Intertidal/v1_1/qa_pixel_count');\n\nvar visualization = {\n bands: ['pixel_count'],\n min: 0,\n max: 300,\n palette: ['000000', 'ffffff']\n};\n\nMap.setCenter(126.6339, 37.4394, 10);\n\nMap.addLayer(dataset, visualization, 'QA Pixel Count');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UQ/UQ_murray_Intertidal_v1_1_qa_pixel_count) \n[Murray Global Intertidal Change QA Pixel Count](/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_qa_pixel_count) \nThe 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 ... \nUQ/murray/Intertidal/v1_1/qa_pixel_count, coastal,google,intertidal,landsat-derived,murray,surface-ground-water,tidal-flats,uq \n1984-01-01T00:00:00Z/2017-01-01T00:00:00Z \n-60 -180 60 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/s41586-018-0805-8](https://doi.org/https://intertidal.app)\n- [https://doi.org/10.1038/s41586-018-0805-8](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_qa_pixel_count)"]]
