Name: CANADA WILDFIRE 2023 - HOTSPOT DATA
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

CANADA WILDFIRE 2023 - HOTSPOT DATA

NASA Fire/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:

MODIS (MODIS Active Fire and Thermal Anomalies)
VIIRS 375m data from NOAA-20 (VIIRS Active Fire and Thermal Anomalie)
VIIRS 375m data from S-NPP (VIIRS Active Fire and Thermal Anomalie)

Attributes

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:

A = Aqua
T = Terra

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]:

0 = presumed vegetation fire
1 = active volcano
2 = other static land source
3 = offshore

DayNight:

D= Daytime fire
N= Nighttime fire

Tables

Fire Nrt J1v C2–357101

@kaggle.brsdincer_canada_wildfire_2023_hotspot_data.fire_nrt_j1v_c2_357101

1.38 MB
52,998 rows
14 columns

CREATE TABLE fire_nrt_j1v_c2_357101 (
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "brightness" DOUBLE,
  "scan" DOUBLE,
  "track" DOUBLE,
  "acq_date" TIMESTAMP,
  "acq_time" BIGINT,
  "satellite" BIGINT,
  "instrument" VARCHAR,
  "confidence" VARCHAR,
  "version" VARCHAR,
  "bright_t31" DOUBLE,
  "frp" DOUBLE,
  "daynight" VARCHAR
);

Fire Nrt M C61–357100

@kaggle.brsdincer_canada_wildfire_2023_hotspot_data.fire_nrt_m_c61_357100

446.23 kB
12,981 rows
14 columns

CREATE TABLE fire_nrt_m_c61_357100 (
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "brightness" DOUBLE,
  "scan" DOUBLE,
  "track" DOUBLE,
  "acq_date" TIMESTAMP,
  "acq_time" BIGINT,
  "satellite" VARCHAR,
  "instrument" VARCHAR,
  "confidence" BIGINT,
  "version" VARCHAR,
  "bright_t31" DOUBLE,
  "frp" DOUBLE,
  "daynight" VARCHAR
);

Fire Nrt Sv C2–357102

@kaggle.brsdincer_canada_wildfire_2023_hotspot_data.fire_nrt_sv_c2_357102

1.5 MB
58,863 rows
14 columns

CREATE TABLE fire_nrt_sv_c2_357102 (
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "brightness" DOUBLE,
  "scan" DOUBLE,
  "track" DOUBLE,
  "acq_date" TIMESTAMP,
  "acq_time" BIGINT,
  "satellite" VARCHAR,
  "instrument" VARCHAR,
  "confidence" VARCHAR,
  "version" VARCHAR,
  "bright_t31" DOUBLE,
  "frp" DOUBLE,
  "daynight" VARCHAR
);