## Files

*   **train.csv** - the training set
*   **test.csv** - the test set 
 
## Columns

*   `id` -  unique identication no. for each record
*   `latitude` -  Center of 1km fire pixel but not necessarily the actual location of the fire as one or more fires can be detected within the 1km pixel.
*    `longitude` -  Center of 1km fire pixel but not necessarily the actual location of the fire as one or more fires can be detected within the 1km pixel.
*    `brightness` -  Brightness temperature 21 (Kelvin): Channel 21/22 brightness temperature of the fire pixel measured in Kelvin.
*    `scan` -  The algorithm produces 1km fire pixels but MODIS pixels get bigger toward the edge of scan. Scan and track reflect actual pixel size.
*    `track` - The algorithm produces 1km fire pixels but MODIS pixels get bigger toward the edge of scan. Scan and track reflect actual pixel size. 
*    `acq_date` -  Date of MODIS acquisition.
*    `acq_time` - Time of acquisition/overpass of the satellite (in UTC).
*    `satellite` - type of the satellite
 A = Aqua and T = Terra.
*    `instrument` -  Constant value for MODIS.
*    `confidence` -   (0-100%): This is target column. 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%.