S-NPP Product Descriptions: VNP14IMG

Last update: July 1, 2020

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 NetCDF4 files. 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.CCC.nc

• AYYYYDDD = Acquisition Year and Day of Year
• HHMM = Hour and minute of acquisition
• CCC = Collection number
• nc = NetCDF4

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):
~2

Citation:

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

Data Authors:
Wilfrid Schroeder

Dataset DOI:
10.5067/VIIRS/VNP14IMG_NRT.002