CANADA WILDFIRE 2023 - HOTSPOT DATA
@kaggle.brsdincer_canada_wildfire_2023_hotspot_data
@kaggle.brsdincer_canada_wildfire_2023_hotspot_data
FIRMS recently integrated ultra real-time (URT) MODIS and VIIRS active fire data, within a minute of satellite observation, from multiple direct readout ground stations in the continental US (CONUS).
This data is based on a one-week period as of the upload date and has been submitted for analysis in forest fire research.
It includes:
Latitude:
Center of 1 km fire pixel, but not necessarily the actual location of the fire as one or more fires can be detected within the 1 km pixel.
Longitude:
Center of 1 km fire pixel, but not necessarily the actual location of the fire as one or more fires can be detected within the 1 km pixel.
Brightness[Brightness temperature 21 (Kelvin)]:
Channel 21/22 brightness temperature of the fire pixel measured in Kelvin.
Scan[Along Scan pixel size]:
The algorithm produces 1 km fire pixels, but MODIS pixels get bigger toward the edge of scan. Scan and track reflect actual pixel size.
Track[Along Track pixel size]:
The algorithm produces 1 km fire pixels, but MODIS pixels get bigger toward the edge of scan. Scan and track reflect actual pixel size.
Acq_Date[Acquisition Date]:
Data of MODIS acquisition.
Acq_Time[Acquisition Time]:
Time of acquisition/overpass of the satellite (in UTC).
Satellite:
Confidence[(0-100%)]:
This value is based on a collection of intermediate algorithm quantities used in the detection process. It is intended to help users gauge the quality of individual hotspot/fire pixels. Confidence estimates range between 0 and 100% and are assigned one of the three fire classes (low-confidence fire, nominal-confidence fire, or high-confidence fire).
Bright_T31[Brightness temperature 31 (Kelvin)]:
Channel 31 brightness temperature of the fire pixel measured in Kelvin.
FRP[Fire Radiative Power (MW - megawatts)]:
Depicts the pixel-integrated fire radiative power in MW (megawatts).
Type[Inferred hot spot type]:
DayNight:
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