[null,null,[],[[["\u003cp\u003eThis dataset maps the global extent of tidal wetlands and their change between 1999 and 2019, including tidal marshes, tidal flats, and mangrove ecosystems.\u003c/p\u003e\n"],["\u003cp\u003eIt identifies areas of tidal wetland loss and gain, specifying the year and type of change.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset was created using Landsat satellite imagery and environmental factors such as temperature, slope, and elevation.\u003c/p\u003e\n"],["\u003cp\u003eIt offers probability maps for tidal wetland occurrence at the beginning (1999-2001) and end (2017-2019) of the study period.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available at a 30-meter resolution and is licensed under CC-BY-4.0.\u003c/p\u003e\n"]]],[],null,["# Murray Global Tidal Wetland Change v1.0 (1999-2019)\n\nDataset Availability\n: 1999-01-01T00:00:00Z--2019-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [Murray/JCU](https://github.com/nick-murray/gee-global-intertidal-change-data-descriptor)\n\nTags\n:\n [coastal](/earth-engine/datasets/tags/coastal) [ecosystem](/earth-engine/datasets/tags/ecosystem) [intertidal](/earth-engine/datasets/tags/intertidal) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [mangrove](/earth-engine/datasets/tags/mangrove) [murray](/earth-engine/datasets/tags/murray) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) \n saltmarsh \n tidal-flat \ntidal-marsh \n\n#### Description\n\nThe Murray Global Tidal Wetland Change Dataset contains maps of the global\nextent of tidal wetlands and their change. The maps were developed from a three\nstage classification that sought to (i) estimate the global distribution of\ntidal wetlands (defined as either tidal marsh, tidal flat or mangrove\necosystems), (ii) detect their change over the study period, and (iii) estimate\nthe ecosystem type and timing of tidal wetland change events.\n\nThe dataset was produced by combining observations from 1,166,385 satellite\nimages acquired by Landsat 5 to 8 with environmental data of variables known\nto influence the distributions of each ecosystem type, including temperature,\nslope, and elevation. The image contains bands for a tidal wetland extent\nproduct (random forest probability of tidal wetland occurrence) for the\nstart and end time-steps of the study period and a tidal wetland change product\nover the full study period (loss and gain of tidal wetlands).\n\nPlease see the [usage notes](https://www.globalintertidalchange.org/data-usage)\non the [project website](https://www.globalintertidalchange.org/). A full\ndescription of the methods, validation, and limitations of the data produced by\nthis software is available in the associated scientific paper.\n\nSee also\n[UQ/murray/Intertidal/v1_1/global_intertidal](/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_global_intertidal)\nfor global maps of the distribution of tidal flat ecosystems.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|----------------------|------------|--------------------------------------------------------------------------------------------------------------------------------|\n| `loss` | meters | Set to 1 for loss locations, masked out otherwise. |\n| `lossYear` | meters | Integer representing the end year of the time-step of loss analysis (e.g., 19 = 2017-2019). |\n| `lossType` | meters | Loss type - 2 - Tidal Flat - 3 - Mangrove - 5 - Tidal Marsh |\n| `gain` | meters | Set to 1 for gain locations, masked out otherwise. |\n| `gainYear` | meters | Integer representing the end year of the time-step of gain analysis (e.g., 19 = 2017-2019). |\n| `gainType` | meters | Gain type: - 2 - Tidal Flat - 3 - Mangrove - 5 - Tidal Marsh |\n| `twprobabilityStart` | meters | Random forest agreement of the overarching tidal wetland class for the first time step (1999-2001). Integer between 0 and 100. |\n| `twprobabilityEnd` | meters | Random forest agreement of the overarching tidal wetland class for the last time step (2017-2019). Integer between 0 and 100. |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Murray, N.J., Worthington, T.A., Bunting, P., Duce, S., Hagger, V.,\n Lovelock, C.E., Lucas, R., Saunders, M.I., Sheaves, M., Spalding, M.,\n Waltham, N.J., Lyons, M.B., 2022. High-resolution mapping of losses and\n gains of Earth's tidal wetlands. *Science* .\n [doi:10.1126/science.abm9583](https://doi.org/10.1126/science.abm9583)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1126/science.abm9583\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.Image('JCU/Murray/GIC/global_tidal_wetland_change/2019');\n\nMap.setCenter(103.7, 1.3, 12);\nMap.setOptions('SATELLITE');\n\nvar plasma = [\n '0d0887', '3d049b', '6903a5', '8d0fa1', 'ae2891', 'cb4679', 'df6363',\n 'f0844c', 'faa638', 'fbcc27', 'f0f921'\n];\nMap.addLayer(\n dataset.select('twprobabilityStart'), {palette: plasma, min: 0, max: 100},\n 'twprobabilityStart', false, 1);\nMap.addLayer(\n dataset.select('twprobabilityEnd'), {palette: plasma, min: 0, max: 100},\n 'twprobabilityEnd', false, 1);\n\nvar lossPalette = ['fe4a49'];\nvar gainPalette = ['2ab7ca'];\nMap.addLayer(\n dataset.select('loss'), {palette: lossPalette, min: 1, max: 1},\n 'Tidal wetland loss', true, 1);\nMap.addLayer(\n dataset.select('gain'), {palette: gainPalette, min: 1, max: 1},\n 'Tidal wetland gain', true, 1);\n\nvar viridis = ['440154', '414487', '2a788e', '22a884', '7ad151', 'fde725'];\nMap.addLayer(\n dataset.select('lossYear'), {palette: viridis, min: 4, max: 19},\n 'Year of loss', false, 0.9);\nMap.addLayer(\n dataset.select('gainYear'), {palette: viridis, min: 4, max: 19},\n 'Year of gain', false, 0.9);\n\n// Ecosystem type.\nvar classPalette = ['9e9d9d', 'ededed', 'ff9900', '009966', '960000', '006699'];\nvar classNames =\n ['null', 'null', 'Tidal flat', 'Mangrove', 'null', 'Tidal marsh'];\nMap.addLayer(\n dataset.select('lossType'), {palette: classPalette, min: 0, max: 5},\n 'Loss type', false, 0.9);\nMap.addLayer(\n dataset.select('gainType'), {palette: classPalette, min: 0, max: 5},\n 'Gain type', false, 0.9);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JCU/JCU_Murray_GIC_global_tidal_wetland_change_2019) \n[Murray Global Tidal Wetland Change v1.0 (1999-2019)](/earth-engine/datasets/catalog/JCU_Murray_GIC_global_tidal_wetland_change_2019) \nThe Murray Global Tidal Wetland Change Dataset contains maps of the global extent of tidal wetlands and their change. The maps were developed from a three stage classification that sought to (i) estimate the global distribution of tidal wetlands (defined as either tidal marsh, tidal flat or mangrove ecosystems), (ii) ... \nJCU/Murray/GIC/global_tidal_wetland_change/2019, coastal,ecosystem,intertidal,landsat-derived,mangrove,murray,surface-ground-water \n1999-01-01T00:00:00Z/2019-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1126/science.abm9583](https://doi.org/https://github.com/nick-murray/gee-global-intertidal-change-data-descriptor)\n- [https://doi.org/10.1126/science.abm9583](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JCU_Murray_GIC_global_tidal_wetland_change_2019)"]]
