- Dataset Availability
- 2012-01-19T00:00:00Z–2024-05-01T00:00:00Z
- Dataset Provider
- NASA LP DAAC at the USGS EROS Center
- Earth Engine Snippet
-
ee.ImageCollection("NOAA/VIIRS/001/VNP21A1N")
- Cadence
- 1 Day
- Tags
The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 1 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products.
The L2G process maps the daily VNP21 swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging.
Documentation:
Resolution
1000 meters
Bands
Name | Units | Description | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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LST_1KM |
K | Daily 1 km Land Surface Temperature. |
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QC |
Daily Quality control for LST and emissivity |
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Bitmask for QC
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Emis_14 |
Daily M14 emissivity |
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Emis_15 |
Daily M15 emissivity |
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Emis_16 |
Daily M16 emissivity |
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View_Angle |
deg | View zenith angle of LST |
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View_Time |
h | Time of LST observation |
Terms of Use
LP DAAC NASA data are freely accessible; however, when an author publishes these data or works based on the data, it is requested that the author cite the datasets within the text of the publication and include a reference to them in the reference list.
Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.
Explore with Earth Engine
var dataset = ee.ImageCollection('NOAA/VIIRS/001/VNP21A1N') .filter(ee.Filter.date('2022-11-01', '2022-12-01')); var visualization = { bands: ['LST_1KM'], min: 200, max: 300, palette: [ 'a50026', 'd73027', 'f46d43', 'fdae61', 'fee08b', 'ffffbf', 'd9ef8b', 'a6d96a', '66bd63', '1a9850', '006837', ] }; Map.setCenter(41.2, 38.84, 3); Map.addLayer(dataset, visualization, 'LST');