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VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT

Published by NASA/GSFC/EOS/ESDIS/LANCE MODIS | National Aeronautics and Space Administration | Catalog Last Checked: June 25, 2026 at 01:50 PM | Dataset Last Updated: June 23, 2026
The VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT with short-name VNP14IMG_NRT is a Near Real Time (NRT) active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product. The VIIRS 375 m fire detection data is a 6-min Level 2 swath product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files. For more information read: Schroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD

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Complete Metadata
@type dcat:Dataset
accessLevel public
bureauCode 
[
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contactPoint 
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}
description The VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT with short-name VNP14IMG_NRT is a Near Real Time (NRT) active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.<br /> The VIIRS 375 m fire detection data is a 6-min Level 2 swath product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files. For more information read: Schroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD
distribution 
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identifier 10.5067/VIIRS/VJ214IMG_NRT.002
keyword 
[
  "earth-science-ecological-dynamics-biosphere-fire-ecology",
  "earth-science-surface-radiative-properties-land-surface",
  "earth-science-surface-thermal-properties-land-surface-land-surface-temperature"
]
license https://www.usa.gov/government-works
modified 2026-06-23
programCode 
[
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publisher 
{
  "name": "NASA/GSFC/EOS/ESDIS/LANCE MODIS",
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spatial 
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theme 
[
  "Earth Science"
]
title VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT

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