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S-NPP Product Descriptions: VNP14IMG

Last update: November 1, 2016

Data Set Short Name:
VNP14IMG_NRT

Data Set Long Name:
VIIRS/NPP Active Fires 6-Min L2 Swath 375m NRT

Platform:
Suomi National Polar-orbiting Partnership (S-NPP)

Instrument:
Visible Infrared Imaging Radiometer Suite (VIIRS)

Product Description:
The VNP14IMG_NRT is a Near Real Time (NRT) S-NPP/VIIRS 375 m 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 HDF4 files (data in HDF5 format may be available at a later date). Complementary ASCII files containing the short list of fire pixels detected are also available through LANCE processing systems.

file_naming_convention = "VNP14IMG_NRT.AYYYYDDD.HHMM.VVV.YYYYDDDHHMMSS.hdf

  • AYYYYDDD = Acquisition Year and Day of Year
  • HHMM = Hour and minute of acquisition
  • VVV = Version number
  • YYYYDDDHHMMSS = Production Date and Time
  • hdf = Hierarchical Data Format (version 4)

For more information read VIIRS 375 m Active Fire Algorithm User Guide
and
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
or visit University of Maryland VIIRS Active Fire Web page

Production Frequency:
240 file per day

Spatial Coverage:
Global

Spatial Resolution:
375m

File Size (MB):
~1.8

Citation:

Dataset Originator/Creator:
NASA Suomi-NPP Land Science Team/MODIS Adaptive Processing System (MODAPS)

Data Authors:
Wilfrid Schroeder

Dataset DOI:
http://dx.doi.org/10.5067/VIIRS/VNP14IMG_NRT.001


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