[null,null,[],[[["\u003cp\u003eThe MOD44W V6 product provides a 250m resolution land/water mask derived from MODIS and SRTM data, distinguishing between land and water.\u003c/p\u003e\n"],["\u003cp\u003eIt utilizes a decision tree classifier and incorporates masks to mitigate issues caused by terrain, burn scars, clouds, and ice.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset spans from 2000-01-01 to 2015-01-01 and is available through NASA LP DAAC at the USGS EROS Center.\u003c/p\u003e\n"],["\u003cp\u003eIt includes a 'water_mask' band indicating land or water and a 'water_mask_QA' band providing quality assurance information.\u003c/p\u003e\n"],["\u003cp\u003eMODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.\u003c/p\u003e\n"]]],["The MOD44W V6 dataset, provided by NASA LP DAAC, offers a yearly land/water mask product from 2000 to 2015 at a 250-meter resolution, and can be accessed using the Earth Engine snippet. Derived via a decision tree classifier with MODIS data and validated by the V5 product, it uses masks to mitigate issues from terrain shadow, burn scars, cloudiness, or ocean ice. The dataset, available on Google Earth Engine, includes 'water_mask' and 'water_mask_QA' bands.\n"],null,["# MOD44W.006 Terra Land Water Mask Derived From MODIS and SRTM Yearly Global 250m\n\nDataset Availability\n: 2000-01-01T00:00:00Z--2015-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC at the USGS EROS Center](https://doi.org/10.5067/MODIS/MOD44W.006)\n\nCadence\n: 1 Year\n\nTags\n:\n[geophysical](/earth-engine/datasets/tags/geophysical) [mod44w](/earth-engine/datasets/tags/mod44w) [modis](/earth-engine/datasets/tags/modis) [nasa](/earth-engine/datasets/tags/nasa) [srtm](/earth-engine/datasets/tags/srtm) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [usgs](/earth-engine/datasets/tags/usgs) [water-mask](/earth-engine/datasets/tags/water-mask) \n\n#### Description\n\nThe MOD44W V6 land/water mask 250m product is derived using a\ndecision tree classifier trained with MODIS data and validated with the\nMOD44W V5 product. A series of masks are applied to address known issues\ncaused by terrain shadow, burn scars, cloudiness, or ice cover in oceans.\n\n### Bands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|-----------------|------------|------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `water_mask` | meters | Land-water mask |\n| Bitmask for water_mask - Bit 0: Land-water mask - 0: Land - 1: Water ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `water_mask_QA` | meters | Quality assurance (QA) |\n| Bitmask for water_mask_QA - Bits 0-3: Quality assurance (QA) - 1: High confidence observation - 2: Lower confidence water, but MOD44W V5 is water - 3: Lower confidence land - 4: Ocean mask - 5: Ocean mask, but no water detected - 6: Burned area (MCD64A1) - 7: Urban or impervious surface - 8: No water detected, Version 5 MOD44W shows inland water - 10: No data (outside of projected area) ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Terms of Use\n\n**Terms of Use**\n\nMODIS data and products acquired through the LP DAAC\nhave no restrictions on subsequent use, sale, or redistribution.\n\n### Citations\n\nCitations:\n\n- Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\n for information on citing LP DAAC datasets.\n\n### DOIs\n\n- \u003chttps://doi.org/10.5067/MODIS/MOD44W.006\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('MODIS/006/MOD44W')\n .filter(ee.Filter.date('2015-01-01', '2015-05-01'));\nvar waterMask = dataset.select('water_mask');\nvar waterMaskVis = {\n min: 0,\n max: 1,\n palette: ['bcba99', '2d0491'],\n};\nMap.setCenter(6.746, 46.529, 2);\nMap.addLayer(waterMask, waterMaskVis, 'Water Mask');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/MODIS/MODIS_006_MOD44W) \n[MOD44W.006 Terra Land Water Mask Derived From MODIS and SRTM Yearly Global 250m](/earth-engine/datasets/catalog/MODIS_006_MOD44W) \nThe MOD44W V6 land/water mask 250m product is derived using a decision tree classifier trained with MODIS data and validated with the MOD44W V5 product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans. \nMODIS/006/MOD44W, geophysical,mod44w,modis,nasa,srtm,surface-ground-water,usgs,water-mask \n2000-01-01T00:00:00Z/2015-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/MODIS/MOD44W.006](https://doi.org/https://doi.org/10.5067/MODIS/MOD44W.006)\n- [https://doi.org/10.5067/MODIS/MOD44W.006](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44W)"]]
