Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

VIIRS/JPSS2 Moderate-Resolution Dual Gain Bands Calibrated Radiance 6-Min L1B Swath 750m NRT

Metadata Updated: February 12, 2024

The Near Real Time (NRT) VIIRS/JPSS2 Moderate-Resolution Dual Gain Bands Calibrated Radiance 6-Min L1B Swath 750m product (VJ202GDC_NRT) contains unaggregated, calibrated TOA radiances for those VIIRS sub-pixel samples that are aggregated along-scan during post-calibration ground processing. In other words, this file contains the calibrated M1 – M5, M7 and M13 dual gain band data from the nadir and near-nadir zones that would otherwise be discarded following post-calibration aggregation/Earth View Radiometric Calibration Unit.

The Level-1 and Level-2 swath products are generated from the processing of 6 minutes of VIIRS data acquired during theJPSS-2/NOAA-21 satellite overpass. The VIIRS sensor has 5 high-resolution imagery channels (I-bands) that have 32 detectors (32 rows of pixels per scan), with twice the resolution of the M-bands and the DNB, that span the wavelengths from 0.640 µm to 11.45 µm. There are also 7 dual-gain VIIRS bands. The dual gain moderate resolution bands (M1 to M5, M7 and M13) have 6304 samples and the other moderate resolution bands have 3200.

For additional information, see the Operational Algorithm Description (OAD) Document for the L1B product at http://npp.gsfc.nasa.gov/sciencedocs/2015-08/474-00090_OAD-VIIRS-CAL-GEO-SDR_H.pdf. The document describes how VIIRS operates in space and provides the equations implemented by the L1B software to generate the MODIS Level-1 intermediate products. It is a summary document that presents the formulae and error budges used to transform VIIRS digital counts to radiance and reflectance.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date February 12, 2024
Metadata Updated Date February 12, 2024

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 12, 2024
Metadata Updated Date February 12, 2024
Publisher Not provided
Maintainer
Identifier C2837615495-LANCEMODIS
Data First Published 2024-01-10
Language en-US
Data Last Modified 2024-01-17
Category NOAA - SPACE WEATHER PROGRAM, LANCE, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation VCST Team. 2024-01-22. VIIRS/JPSS2 Moderate-Resolution Dual Gain Bands Calibrated Radiance 6-Min L1B Swath 750m NRT. Version 2. MODAPS at NASA/GSFC. Archived by National Aeronautics and Space Administration, U.S. Government, LANCEMODIS. https://doi.org/10.5067/VIIRS/VJ202GDC_NRT.002. https://doi.org/10.5067/VIIRS/VJ202GDC.002.
Creator VCST Team
Harvest Object Id a597ef4c-db37-436e-9c15-de5b00b96638
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/VIIRS/VJ202GDC_NRT.002
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Release Place MODAPS at NASA/GSFC
Source Datajson Identifier True
Source Hash 3c897b051cc0bd8c7b87baccffd626118130debe5b1319b473236f84794c613c
Source Schema Version 1.1
Spatial
Temporal 2024-01-17T00:00:00Z/2024-02-12T00:00:00Z

Didn't find what you're looking for? Suggest a dataset here.