VNP21A1N.002: Night Land Surface Temperature and Emissivity Daily 1km

NASA/VIIRS/002/VNP21A1N
Dataset Availability
2012-01-19T00:00:00Z–2024-11-02T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("NASA/VIIRS/002/VNP21A1N")
Tags
daily land nasa night noaa surface temperature viirs

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
LST_1KM K

Daily 1 km Land Surface Temperature.

QC

Daily Quality control for LST and emissivity

Emis_14

Daily M14 emissivity

Emis_15

Daily M15 emissivity

Emis_16

Daily M16 emissivity

View_Angle deg

View zenith angle of LST

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

Citations:

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');
Open in Code Editor