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)
This product depicts tidal flat ecosystems around the global coastline.
Pixels classified as tidal flat in the analysis represent several types of
tidal flat ecosystems, including unconsolidated fine-grain sediments (tidal
mudflats), unconsolidated coarse-grain sediments (tidal sand flats), and
consolidated sediments, organic material or rocks (wide tidal
rock-platforms), while excluding spectral signatures indicating the
presence of vegetation dominated intertidal ecosystems such as mangroves
and vegetated marshes. The analysis aimed to identify pixels that are
subject to regular tidal inundation, and therefore may also include other
intertidal systems where intertidal dynamics are observable.
Bands
Pixel Size 30 meters
Bands
Name
Units
Pixel Size
Description
classification
occurrence
meters
Intertertidal area classification for the interval.
Bitmask for classification
Bit 0: Intertidal area classification.
0: Classified non-intertidal area
1: Classified intertidal area
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.
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,
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 …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThe Murray Global Intertidal Change Dataset provides global maps of tidal flat ecosystems based on a supervised classification of Landsat imagery from 1984 to 2016.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset identifies tidal flats, permanent water, and other land cover types along coastlines between 60° North and 60° South.\u003c/p\u003e\n"],["\u003cp\u003eThe classification includes various tidal flat ecosystems like mudflats, sand flats, and rock platforms, but excludes vegetated areas like mangroves and marshes.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is available as a time-series of 11 global maps at 30m resolution, allowing for analysis of intertidal change over time.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under a Creative Commons Attribution 4.0 International License and requires proper attribution when used.\u003c/p\u003e\n"]]],[],null,["Dataset 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\nDescription \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\nThis product depicts tidal flat ecosystems around the global coastline.\n\nPixels classified as tidal flat in the analysis represent several types of\ntidal flat ecosystems, including unconsolidated fine-grain sediments (tidal\nmudflats), unconsolidated coarse-grain sediments (tidal sand flats), and\nconsolidated sediments, organic material or rocks (wide tidal\nrock-platforms), while excluding spectral signatures indicating the\npresence of vegetation dominated intertidal ecosystems such as mangroves\nand vegetated marshes. The analysis aimed to identify pixels that are\nsubject to regular tidal inundation, and therefore may also include other\nintertidal systems where intertidal dynamics are observable.\n\nBands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Description |\n|------------------|------------|-----------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `classification` | occurrence | Intertertidal area classification for the interval. |\n| Bitmask for classification - Bit 0: Intertidal area classification. - 0: Classified non-intertidal area - 1: Classified intertidal area ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\nTerms 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\nCitations \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 [doi:10.1038/s41586-018-0805-8](https://doi.org/10.1038/s41586-018-0805-8),\n- Murray, N. J., Phinn, S. P., Fuller, R. A., DeWitt, M., Ferrari, R.,\n Johnston, R., Clinton, N., \\& Lyons, M. B. (2022). High-resolution global\n maps of tidal flat ecosystems from 1984 to 2019. Scientific Data,\n 9(1).\n [doi:10.1038/s41597-022-01635-5](https://doi.org/10.1038/s41597-022-01635-5),\n\nDOIs\n\n- \u003chttps://doi.org/10.1038/s41586-018-0805-8\u003e\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\nvar dataset = ee.ImageCollection('UQ/murray/Intertidal/v1_1/global_intertidal');\n\nvar visualization = {\n bands: ['classification'],\n min: 0,\n max: 1,\n palette: ['0000ff']\n};\n\nMap.setCenter(126.6339, 37.4394, 10);\n\nMap.addLayer(dataset, visualization, 'Intertidal areas');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UQ/UQ_murray_Intertidal_v1_1_global_intertidal) \n[Murray Global Intertidal Change Classification](/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_global_intertidal) \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/global_intertidal, 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_global_intertidal)"]]
