El producto de máscara de tierra/agua MOD44W V6 de 250 m se deriva con un clasificador de árbol de decisión entrenado con datos de MODIS y validado con el producto MOD44W V5. Se aplica una serie de máscaras para abordar problemas conocidos causados por la sombra del terreno, las cicatrices de incendios, la nubosidad o la capa de hielo en los océanos.
Bandas
Tamaño del píxel 250 metros
Bandas
Nombre
Tamaño de los píxeles
Descripción
water_mask
metros
Máscara de tierra y agua
Máscara de bits para water_mask
Bit 0: Máscara de tierra y agua
0: Tierra
1: Agua
water_mask_QA
metros
Control de calidad (QA)
Máscara de bits para water_mask_QA
Bits 0 a 3: Control de calidad (QA)
1: Observación de alta confianza
2: Agua con menor confianza, pero MOD44W V5 es agua
3: Zona de aterrizaje de menor confianza
4: Máscara del océano
5: Máscara de océano, pero no se detectó agua
6: Área quemada (MCD64A1)
7: Superficie urbana o impermeable
8: No se detectó agua. La versión 5 de MOD44W muestra agua interior.
10: Sin datos (fuera del área proyectada)
Condiciones de Uso
Condiciones de Uso
Los datos y productos de MODIS adquiridos a través del LP DAAC no tienen restricciones sobre su uso, venta o redistribución posteriores.
El producto de máscara de tierra y agua MOD44W V6 de 250 m se deriva con un clasificador de árbol de decisión entrenado con datos de MODIS y validado con el producto MOD44W V5. Se aplica una serie de máscaras para abordar problemas conocidos causados por la sombra del terreno, las cicatrices de incendios, la nubosidad o la capa de hielo en los océanos.
[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)"]]
