VNP14IMG Active Fire product over Egypt on February 10, 2024.
View full-size imageThe Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires (VNP14IMG) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 375 meter resolution from the VIIRS sensor aboard the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This Level 2 product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events. Due to its higher spatial resolution, the VNP14IMG active fire product provides greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters in comparison to the VNP14 fire data product.
The VNP14IMG product includes 26 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., radiance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14IMG product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes.
Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14IMG product is also used to generate higher-level fire data products.
Use of the VNP03MODLL data product is required to apply accurate geolocation information to the VNP14IMG Science Datasets (SDS).
More details can be found in this VIIRS Land V2 Changes document.
As a new application, the VNP14IMG data set is deemed experimental. The product maturity status is expected to change in the near future as provisions are added to the VIIRS Program.
| Characteristic | Description |
|---|---|
| Collection | Suomi NPP VIIRS |
| DOI | 10.5067/VIIRS/VNP14IMG.002 |
| File Size | 1.4 MB |
| Temporal Resolution | Daily |
| Temporal Extent | 2012-01-17 to Present |
| Spatial Extent | Global |
| Coordinate System | None (Swath) |
| Datum | N/A |
| File Format | netCDF-4 |
| Geographic Dimensions | 3060 km x 3060 km |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 26 |
| Columns/Rows | 6400 x 6400 |
| Pixel Size | 375 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| fire mask | Confidence of Fire | Class Flag | 8-bit unsigned integer | N/A | N/A | 0 to 9 | N/A |
| algorithm QA | Algorithm QA | Bit Field | 32-bit unsigned integer | N/A | N/A | N/A | N/A |
| FP_AdjCloud | Number of adjacent cloud pixels | N/A | 16-bit unsigned integer | N/A | N/A | 0 to 8 | N/A |
| FP_AdjWater | Number of adjacent water pixels | N/A | 16-bit unsigned integer | N/A | N/A | 0 to 8 | N/A |
| FP_MAD_DT | Background M13-M15 brightness temperature difference mean absolute deviation | Kelvin | 32-bit floating point | 0 | N/A | ~ > 0 to 20 | N/A |
| FP_MAD_T4 | Background I04 Brightness Temperature Mean Absolute Deviation of Fire Pixel | Kelvin | 32-bit floating point | 0 | N/A | ~ > 0 to 20 | N/A |
| FP_MAD_T5 | Background I05 Brightness Temperature Mean Absolute Deviation of Fire Pixel | Kelvin | 32-bit floating point | 0 | N/A | ~ > 0 to 20 | N/A |
| FP_MeanDT | Mean background brightness temperature difference | Kelvin | 32-bit floating point | 0 | N/A | ~ -10 to 50 | N/A |
| FP_MeanRad13 | M13 Background Radiance of Background of Fire Pixel | W/m²/sr/μm | 32-bit floating point | 0 | N/A | ~ > 0 to 10 | N/A |
| FP_MeanT4 | I04 Brightness Temperature of Background of Fire Pixel | Kelvin | 32-bit floating point | 0 | N/A | ~ 270 to 340 | N/A |
| FP_MeanT5 | I05 Brightness Temperature of Background of Fire Pixel | Kelvin | 32-bit floating point | 0 | N/A | ~ 265 to 330 | N/A |
| FP_Rad13 | M13 Radiance for Each Fire Pixel | W/m²/sr/μm | 32-bit floating point | 0 | N/A | ~ > 0 to 400 | N/A |
| FP_SolAzAng | Solar Azimuth Angle of Fire Pixel | Degree | 32-bit floating point | N/A | N/A | -180 to 180 | N/A |
| FP_SolZenAng | Solar Zenith Angle of fire pixel | Degree | 32-bit floating point | N/A | N/A | 0 to 180 | N/A |
| FP_T4 | I04 Brightness Temperature of Fire Pixel | Kelvin | 32-bit floating point | N/A | N/A | ~ 208 to 367 | N/A |
| FP_T5 | I05 Brightness Temperature of Fire Pixel | Kelvin | 32-bit floating point | N/A | N/A | ~ 205 to 380 | N/A |
| FP_ViewAzAng | Solar Azimuth Angle of Fire Pixel | Degree | 32-bit floating point | N/A | N/A | -180 to 180 | N/A |
| FP_ViewZenAng | View Zenith Angle of fire pixel | Degree | 32-bit floating point | N/A | N/A | 0 to 70 | N/A |
| FP_WinSize | Background Window Size | N/A | 16-bit unsigned integer | 0 | N/A | 10 to 35 | N/A |
| FP_confidence | Detection confidence | N/A | 8-bit unsigned integer | N/A | N/A | 7 to 9 | N/A |
| FP_day | Day Flag for Fire Pixel | N/A | 8-bit unsigned integer | N/A | N/A | 0 to 1 | N/A |
| FP_latitude | Latitude of fire pixel | Degree | 32-bit floating point | N/A | N/A | -90 to 90 | N/A |
| FP_line | Fire pixel line | N/A | 16-bit unsigned integer | N/A | N/A | 0 to (16 x N)-1 | N/A |
| FP_longitude | Longitude of fire pixel | Degree | 32-bit floating point | N/A | N/A | -180 to 180 | N/A |
| FP_power | Fire radiative power | Megawatts | 32-bit floating point | 0 | N/A | ~ > 0 to 1500 | N/A |
| FP_sample | Fire Pixel Sample | N/A | 16-bit unsigned integer | N/A | N/A | 0 to 6399 | N/A |
| Value | Description |
|---|---|
| 0 | not processed (non-zero QF) |
| 1 | bowtie |
| 2 | glint |
| 3 | water |
| 4 | clouds |
| 5 | clear land |
| 6 | unclassified fire pixel |
| 7 | low confidence fire pixel |
| 8 | nominal confidence fire pixel |
| 9 | high confidence fire pixel |
Additional information for fire mask pixels is provided in Section 2.2 of the User Guide.
| Value | Description |
|---|---|
| 7 | low confidence fire pixel |
| 8 | nominal confidence fire pixel |
| 9 | high confidence fire pixel |
Additional information for detection confidence pixels is provided in Table 3 of the User Guide.
The Quality Assurance (QA) bit flags for the quality layer are provided in Table 2 of the User Guide.
The quality layer is stored in an efficient bit-encoded manner. The unpack_sds_bits executable from the LDOPE Tools is available to the user community to help parse and interpret the quality layer.
Quality assurance information should be considered when determining the usability of data for a particular science application. The ArcGIS MODIS-VIIRS Python Toolbox contains tools capable of decoding quality data layers while producing thematic quality raster files for each quality attribute.
For complete information about product quality, refer to the MODIS/VIIRS Land Quality Assessment website.
For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.