The MYD10A1 V6 Snow Cover Daily Global 500m product
contains snow cover, snow albedo, fractional snow cover, and quality
assessment (QA) data. Snow cover data are based on a snow mapping
algorithm that employs a Normalized Difference Snow Index (NDSI)
and other criteria tests.
NDSI snow cover. This value is
computed for MOD10_L2 and retrieved when the observation of
the day is selected. Provider values above 100 are masked out in
this band (they can be found in the "NDSI_Snow_Cover_Class" band).
NDSI_Snow_Cover_Basic_QA
meters
A basic estimate of the quality of the algorithm result.
This value is computed for MOD10_L2 and retrieved with the corresponding
observation of the day.
Bitmask for NDSI_Snow_Cover_Basic_QA
Bits 0-15: QA
0: Best
1: Good
2: Ok
3: Poor - not currently in use
211: Night
239: Ocean
NDSI_Snow_Cover_Algorithm_Flags_QA
meters
Bit flags indicating screen results and the presence
of inland water. These flags are set when MOD10_L2 is generated
and retrieved with the corresponding observation of the day.
Bitmask for NDSI_Snow_Cover_Algorithm_Flags_QA
Bit 0: Inland water
0: No
1: Yes
Bit 1: Low visible screen failed. Snow detection reversed.
0: No fail/not reversed
1: The MODIS band 2 reflectance is <= 0.10
or the band 4 reflectance is <= 0.11
Bit 2: Low NDSI screen failed. Snow detection reversed.
0: No fail/not reversed
1: Pixels detected as having snow cover with 0.0
< NDSI < 0.10 are reversed to no snow
Bit 3: Combined temperature/height screen failed.
1: Brightness temperature >= 281K, pixel height
< 1300m, flag set, snow detection reversed to not snow
or brightness temperature >= 281K, pixel height >=
1300m, flag set, snow detection NOT reversed.
Bit 4: Shortwave IR (SWIR) reflectance anomalously high.
1: Snow pixel with SWIR > 0.45, flag set, snow
detection reversed to not snow or snow pixel with 25%
< SWIR <= 45%, flag set to indicate unusual snow
condition, snow detection NOT reversed.
Bit 5: Spare
0: N/A
Bit 6: Spare
0: N/A
Bit 7: Solar zenith screen failed (angles exceed 70°), uncertainty increased.
0: No
1: Yes
NDSI
0
10000
0.0001
meters
Raw NDSI (i.e. prior to screening). This value is
computed for MOD10_L2 and retrieved with the corresponding observation
of the day.
Snow_Albedo_Daily_Tile
1
100
meters
Snow albedo percentage. Provider values above 100 are masked out in
this band (they can be found in the "Snow_Albedo_Daily_Tile_Class" band).
orbit_pnt
meters
Pointer to the orbit number of the swath that was
selected as the observation of the day. The pointer references
by index the list of orbit numbers written to the ORBITNUMBERARRAY
metadata object in ArchiveMetadata.0.
granule_pnt
meters
Pointer to the granule (swath) that was mapped into
the tile. The pointer references the corresponding value in the
GRANULEPOINTERARRAY metadata object written to ArchiveMetadata.0.
NDSI_Snow_Cover_Class
meters
Landcover classes from the "NDSI_Snow_Cover" subdataset
(provider values less than or equal to 100 are masked out).
Snow_Albedo_Daily_Tile_Class
meters
Landcover classes from the "Snow_Albedo_Daily_Tile" subdataset
(provider values less than or equal to 100 are masked out).
NDSI_Snow_Cover_Class Class Table
Value
Color
Description
200
None
Missing data
201
None
No decision
211
None
Night
237
None
Inland water
239
None
Ocean
250
None
Cloud
254
None
Detector saturated
Snow_Albedo_Daily_Tile_Class Class Table
Value
Color
Description
101
None
No decision
111
None
Night
125
None
Land
137
None
Inland water
139
None
Ocean
150
None
Cloud
151
None
Cloud detected as snow
250
None
Missing
251
None
Self-shadowing
252
None
Land mask mismatch
253
None
BRDF failure
254
None
Non-production mask
Terms of Use
Terms of Use
You may download and use photographs, imagery, or text
from the NSIDC web site, unless limitations for its use are specifically
stated. For more information on usage and citing NSIDC datasets,
please visit the
NSIDC 'Use and Copyright' page.
Citations
Citations:
Hall, D. K., V. V. Salomonson, and G. A. Riggs. 2016. MODIS/Terra
Snow Cover Daily L3 Global 500m Grid. Version 6. Boulder, Colorado
USA: NASA National Snow and Ice Data Center Distributed Active
Archive Center.
The MYD10A1 V6 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General documentation
[[["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\u003eThis dataset, MODIS/006/MYD10A1, has been superseded by a newer version, MODIS/061/MYD10A1.\u003c/p\u003e\n"],["\u003cp\u003eIt provides daily global snow cover data at 500m resolution from 2002-07-04 to 2023-02-25.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes snow cover, snow albedo, fractional snow cover, and quality assessment data, derived using a Normalized Difference Snow Index (NDSI) algorithm.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and analyze this dataset through Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# MYD10A1.006 Aqua Snow Cover Daily Global 500m [deprecated]\n\n**Caution:** This dataset has been superseded by [MODIS/061/MYD10A1](/earth-engine/datasets/catalog/MODIS_061_MYD10A1). \n\nDataset Availability\n: 2002-07-04T00:00:00Z--2023-02-25T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA NSIDC DAAC at CIRES](https://doi.org/10.5067/MODIS/MYD10A1.006)\n\nCadence\n: 1 Day\n\nTags\n:\n albedo \n aqua \n cryosphere \n daily \n geophysical \n global \n modis \n myd10a1 \n nasa \n nsidc \nsnow \n\n#### Description\n\nThe MYD10A1 V6 Snow Cover Daily Global 500m product\ncontains snow cover, snow albedo, fractional snow cover, and quality\nassessment (QA) data. Snow cover data are based on a snow mapping\nalgorithm that employs a Normalized Difference Snow Index (NDSI)\nand other criteria tests.\n\n[General documentation](https://doi.org/10.5067/MODIS/MYD10A1.006)\n\n### Bands\n\n\n**Pixel Size**\n\n500 meters\n\n**Bands**\n\n| Name | Min | Max | Scale | Pixel Size | Description |\n|--------------------------------------|-----|-------|--------|------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `NDSI_Snow_Cover` | 0 | 100 | | meters | NDSI snow cover. This value is computed for MOD10_L2 and retrieved when the observation of the day is selected. Provider values above 100 are masked out in this band (they can be found in the \"NDSI_Snow_Cover_Class\" band). |\n| `NDSI_Snow_Cover_Basic_QA` | | | | meters | A basic estimate of the quality of the algorithm result. This value is computed for MOD10_L2 and retrieved with the corresponding observation of the day. |\n| Bitmask for NDSI_Snow_Cover_Basic_QA - Bits 0-15: QA - 0: Best - 1: Good - 2: Ok - 3: Poor - not currently in use - 211: Night - 239: Ocean ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `NDSI_Snow_Cover_Algorithm_Flags_QA` | | | | meters | Bit flags indicating screen results and the presence of inland water. These flags are set when MOD10_L2 is generated and retrieved with the corresponding observation of the day. |\n| Bitmask for NDSI_Snow_Cover_Algorithm_Flags_QA - Bit 0: Inland water - 0: No - 1: Yes - Bit 1: Low visible screen failed. Snow detection reversed. - 0: No fail/not reversed - 1: The MODIS band 2 reflectance is \\\u003c= 0.10 or the band 4 reflectance is \\\u003c= 0.11 - Bit 2: Low NDSI screen failed. Snow detection reversed. - 0: No fail/not reversed - 1: Pixels detected as having snow cover with 0.0 \\\u003c NDSI \\\u003c 0.10 are reversed to no snow - Bit 3: Combined temperature/height screen failed. - 1: Brightness temperature \\\u003e= 281K, pixel height \\\u003c 1300m, flag set, snow detection reversed to not snow or brightness temperature \\\u003e= 281K, pixel height \\\u003e= 1300m, flag set, snow detection NOT reversed. - Bit 4: Shortwave IR (SWIR) reflectance anomalously high. - 1: Snow pixel with SWIR \\\u003e 0.45, flag set, snow detection reversed to not snow or snow pixel with 25% \\\u003c SWIR \\\u003c= 45%, flag set to indicate unusual snow condition, snow detection NOT reversed. - Bit 5: Spare - 0: N/A - Bit 6: Spare - 0: N/A - Bit 7: Solar zenith screen failed (angles exceed 70°), uncertainty increased. - 0: No - 1: Yes ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `NDSI` | 0 | 10000 | 0.0001 | meters | Raw NDSI (i.e. prior to screening). This value is computed for MOD10_L2 and retrieved with the corresponding observation of the day. |\n| `Snow_Albedo_Daily_Tile` | 1 | 100 | | meters | Snow albedo percentage. Provider values above 100 are masked out in this band (they can be found in the \"Snow_Albedo_Daily_Tile_Class\" band). |\n| `orbit_pnt` | | | | meters | Pointer to the orbit number of the swath that was selected as the observation of the day. The pointer references by index the list of orbit numbers written to the ORBITNUMBERARRAY metadata object in ArchiveMetadata.0. |\n| `granule_pnt` | | | | meters | Pointer to the granule (swath) that was mapped into the tile. The pointer references the corresponding value in the GRANULEPOINTERARRAY metadata object written to ArchiveMetadata.0. |\n| `NDSI_Snow_Cover_Class` | | | | meters | Landcover classes from the \"NDSI_Snow_Cover\" subdataset (provider values less than or equal to 100 are masked out). |\n| `Snow_Albedo_Daily_Tile_Class` | | | | meters | Landcover classes from the \"Snow_Albedo_Daily_Tile\" subdataset (provider values less than or equal to 100 are masked out). |\n\n**NDSI_Snow_Cover_Class Class Table**\n\n| Value | Color | Description |\n|-------|-------|--------------------|\n| 200 | None | Missing data |\n| 201 | None | No decision |\n| 211 | None | Night |\n| 237 | None | Inland water |\n| 239 | None | Ocean |\n| 250 | None | Cloud |\n| 254 | None | Detector saturated |\n\n**Snow_Albedo_Daily_Tile_Class Class Table**\n\n| Value | Color | Description |\n|-------|-------|------------------------|\n| 101 | None | No decision |\n| 111 | None | Night |\n| 125 | None | Land |\n| 137 | None | Inland water |\n| 139 | None | Ocean |\n| 150 | None | Cloud |\n| 151 | None | Cloud detected as snow |\n| 250 | None | Missing |\n| 251 | None | Self-shadowing |\n| 252 | None | Land mask mismatch |\n| 253 | None | BRDF failure |\n| 254 | None | Non-production mask |\n\n### Terms of Use\n\n**Terms of Use**\n\nYou may download and use photographs, imagery, or text\nfrom the NSIDC web site, unless limitations for its use are specifically\nstated. For more information on usage and citing NSIDC datasets,\nplease visit the\n[NSIDC 'Use and Copyright' page](https://nsidc.org/about/data-use-and-copyright).\n\n### Citations\n\nCitations:\n\n- Hall, D. K., V. V. Salomonson, and G. A. Riggs. 2016. MODIS/Terra\n Snow Cover Daily L3 Global 500m Grid. Version 6. Boulder, Colorado\n USA: NASA National Snow and Ice Data Center Distributed Active\n Archive Center.\n\n### DOIs\n\n- \u003chttps://doi.org/10.5067/MODIS/MYD10A1.006\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/MYD10A1')\n .filter(ee.Filter.date('2018-01-01', '2018-05-01'));\nvar snowCover = dataset.select('NDSI_Snow_Cover');\nvar snowCoverVis = {\n min: 0.0,\n max: 100.0,\n palette: ['black', '0dffff', '0524ff', 'ffffff'],\n};\nMap.setCenter(-38.13, 40, 2);\nMap.addLayer(snowCover, snowCoverVis, 'Snow Cover');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/MODIS/MODIS_006_MYD10A1) \n[MYD10A1.006 Aqua Snow Cover Daily Global 500m \\[deprecated\\]](/earth-engine/datasets/catalog/MODIS_006_MYD10A1) \nThe MYD10A1 V6 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General documentation \nMODIS/006/MYD10A1, albedo,aqua,cryosphere,daily,geophysical,global,modis,nasa,nsidc,snow \n2002-07-04T00:00:00Z/2023-02-25T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/MODIS/MYD10A1.006](https://doi.org/https://doi.org/10.5067/MODIS/MYD10A1.006)\n- [https://doi.org/10.5067/MODIS/MYD10A1.006](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MYD10A1)"]]
