S-NPP Product Descriptions: VNP14_NRT
Last update: October 18, 2023
Data Set Short Name:
VNP14_NRT
Data Set Long Name:
VIIRS/NPP Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT
Platform:
Suomi National Polar-orbiting Partnership (S-NPP)
Instrument:
Visible Infrared Imaging Radiometer Suite (VIIRS)
Product Description:
The VIIRS/NPP Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT product is based on the MODIS C6 Fire algorithm. The input to the Active Fires production are Level-1B moderate-resolution reflective band M7, and emissive bands M13 and M15. The fire algorithm first calculates bands M13, M15 brightness temperature (BT) statistics for a group of background pixels adjacent to each potential fire pixel. These statistics are used to set thresholds for several contextual fire detection tests. There is also an absolute fire detection test based on a pre-set M13 BT threshold. If the results of the absolute and relative fire detection tests meet certain criteria, the pixel is labeled as fire. The designation of a pixel as fire from the results of the BT threshold tests may be overridden under sun glint conditions or if too few pixels were used to calculate the background statistics.
The VNP14 product contains several pieces of information for each fire pixel: pixel coordinates, latitude and longitude, pixel M7 reflectance, background M7 reflectance, pixel M13 and M15 BT, background M13 and M15 BT, mean background BT difference, background M13, M15, and BT difference mean absolute deviation, fire radiative power, number of adjacent cloud pixels, number of adjacent water pixels, background window size, number of valid background pixels, detection confidence, land pixel flag, background M7 reflectance, and reflectance mean absolute deviation.
The product provides day and nighttime active fire detections over land and water (from gas flares). The VNP14 product provides fire data continuity with NASA's EOS MODIS 1 km fire product.
file_naming_convention = "VNP14_NRT.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.nc
- AYYYYDDD = Acquisition Year and Day of Year
- HHMM = Hour and minute of acquisition
- CCC = Collection number
- YYYYDDDHHMMSS = Production Date and Time
- nc = NetCDF4
For more information read Joint Polar Satellite System (JPSS) Algorithm Specification Volume III: Operational Algorithm Description (OAD) Document for the Active Fires
Joint Polar Satellite System (JPSS) VIIRS Active Fires: Fire Mask Algorithm Theoretical Basis Document (ATBD)
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:
750m
File Size (MB):
~1
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/VNP14_NRT.002
