Wetland Fire Scar Monitoring and Analysis Using Archival Landsat Data for the Everglades

Fire Ecology

Table 1 Variables evaluated in conditional inference forests for their ability to predict the timing of fire scar green-up in Everglades National Park.

Variable	Description
Hydrology Based on EDEN Depths ^a
MINyr	Minimum daily water depth during the year of the fire
MAXyr	Maximum daily water depth during the year of the fire
MEANyr	Mean daily water depth during the year of the fire
MEAN6yr	Mean daily water depth during the year of the fire and five years following
MINburn	Minimum daily water depth during the fire^b
MAXburn	Maximum daily water depth during the fire^b
MINf2g	Minimum daily water depth between the fire date and green-up date
MAXf2g	Maximum daily water depth between the fire date and green-up date
AveZ	Quantifies relative dryness the year of the fire, with respect to a 6-year window starting the year of the fire
Timing
DAYSburn	Fire duration, calculated by subtracting the discovery date from the fire date
DAYSf2min	Days between the fire date and the date of minimum water for the year
DAYSf2max	Days between the fire date and the date of maximum water for the year
Additional
AOI	Area of interest
TYPE	Fire type, designated by management
Hectares	Number of hectares burned, declared by management
CauseG	General cause of fire
CauseS	Specific cause of fire
Vdom	Dominant vegetation species^c
V2nd	Second most prevalent vegetation species^c
V3rd	Third most prevalent vegetation species^c

^a Water depths were calculated by subtracting estimated elevations from estimated surfaces, using values produced by the Everglades Depth Estimation Network (EDEN).
^b Where fire dates were derived from imagery rather than the fire record, the minima and maxima in the error window associated with Landsat periodicity were used.
^c Vegetation classes were taken from Welch and Madden (1999).