![NASA/VIIRS/002/VNP21A1N](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP21A1N_sample.png?authuser=19)
- Dataset Availability
- 2012-01-19T00:00:00Z–2024-08-23T00:00:00Z
- Dataset Provider
- NASA LP DAAC at the USGS EROS Center
- Earth Engine Snippet
-
ee.ImageCollection("NASA/VIIRS/002/VNP21A1N")
- Tags
Description
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:
Bands
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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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
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.
Citations
Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('NASA/VIIRS/002/VNP21A1N') .filter(ee.Filter.date('2022-11-01', '2022-12-01')); var visualization = { bands: ['LST_1KM'], min: [150], 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');