Gridded MODIS Active Fire products

 

The gridded MODIS active fire products  present gridded statistical summaries of fire pixel information (Giglio et al., 2003).  These products are intended for use in Giovanni system focused on regional (NEESPI) analysis of surface processes and climate modeling. The products are generated at 1 degree spatial resolution for time period of one calendar month. These products are generated from MODIS CMG 0.5 degree products (Giglio et al., in press).   

 

File naming convention

 

MOD14CM1.YYYYMM.CCC.VV.ProductName.bin

 

Where 

MOD14           indicates that the data included are from the Terra satellite

            CM1                indicates Climate Modeling 1 degree grid

YYYY             is a four digit number for year (e.g. 2003)

            MM                 is a two digit number for month (e.g. 01)

            CCC                is a three digit number for MODIS collection (e.g. 004)

            VV                   is a two digit number of the version within a collection (e.g. 03)

            ProductName   indicates the layer from the original MODIS CMG product

 

e.g. MOD14CM1.200101.004.03.CorrFirePix.bin

 

File format

 

Format:                       flat binary

Data type:                     floating point

Byte order:                   big-endian

Dimension:                    360 x 180

Resolution:                    1 x 1 degree

First point:                    (-179.5, 89.5)

Second point:               (-178.5, 89.5)

File Size:                       259200 bytes

Missing values:  -999.00

 

Product descriptions

 

The gridded MODIS fire products include three individual data files: CorrFirePix (overpass corrected fire pixel count), CloudCorrFirePix (overpass and cloud corrected fire pixel count), and MeanPower (mean Fire Radiative Power).

 

CorrFirePix data product

 

The raw fire pixel counts obtained from polar orbiting satellites present a considerably biased view of fire activity between different latitudes due to non-uniform spatial and temporal sampling.  Over high latitudes overlapping swaths result in multiple observations of the same area from consecutive orbits, which artificially increases fire counts in these areas.  The CorrFirePix product presents the total number of fire pixels observed in each 1 degree grid corrected for multiple satellite overpasses and missing observations.  This is accomplished by normalizing the raw fire pixel counts by the expected equatorial coverage in a complete calendar month containing no missing observations.  The overpass-corrected fire pixel count in the grid cell located at row i and column j, denoted as N’fire(i, j, t), is given by

 

N’fire(i, j, t) =

Nfire(i, j, t) Ndays(t) A(i) Neq

Ntotal (i, j, t) Aeq

 

 

where

 Nfire(i, j, t)        number of active fire pixels detected in the grid cell over a given calendar month indexed by t

Ntotal (i, j, t)       the total number of MODIS pixels that fell within the grid cell during the calendar month

Ndays(t)             the number of days in the calendar month

A(i)                  the area of the grid cell (solely a function of i due to the equal-angle grid used to composite pixels)

Aeq                          area of a grid cell along the Equator

Neq                         the expected number of MODIS pixels within a grid cell located along the Equator during a full 24-hour day of no missing observations (this value was determined empirically using one year of observations from 2001).

 

The 1 degree grid is created by summing up values from four 0.5 degree cells.  If all of the included 0.5 degree cells are flagged as “missing data”, then the 1 degree grid cell received the “missing value” of -999.00.

 

CloudCorrFirePix data product

 

The CloudCorrFirePix product presents the number of fire pixels observed in each grid cell, corrected for multiple satellite overpasses, missing observations, and variable cloud cover.  The cloud correction is based on calculations of the mean cloud fraction – the average fraction of each grid cell obstructed by cloud during a given calendar month.  The mean cloud fraction (fcloud) is defined as:

 

fcloud (i, j, t) =

Ncloud(i, j, t)

Ntotal (i, j, t)

 

where

Ncloud(i, j, t)       the total number of pixels within the grid cell during calendar month t

Ntotal (i, j, t)       the total number of MODIS pixels that fell within the grid cell during the calendar month t

 

 

The cloud and overpass corrected fire pixel count, denoted as N”fire(i, j, t), is given by

 

N”fire(i, j, t) =

N’fire(i, j, t)

 

1 -  fcloud (i, j, t)

 

where

            N’fire(i, j, t)       overpass-corrected fire pixel count

             fcloud (i, j, t)     mean cloud fraction

 

Grid cells with mean cloud fraction of 1 are assigned a cloud-and-overpass corrected fire pixel count of zero.  It should be noted that the definition of a “cloud” in this context is a cloud that is optically thick enough to make the active fire detection impossible.

 

The 1 degree grid is created by summing up values from four 0.5 degree cells.  If all of the included 0.5 degree cells are flagged as “missing data”, then the 1 degree grid cell received the “missing value” of -999.00.

 

MeanPower data product

 

The MeanPower product presents the mean fire radiative power (FRP – Kaufman et al., 1998) of all fire pixels in each grid cell during a calendar month.  Pixels for which the estimates of background temperature in the immediate vicinity are unavailable are not included in the calculation of the mean.  Such cases occur when the majority of the pixels surrounding the fire pixel represent cloud cover, fire (i.e. large fire complex) or water (i.e. small islands and narrow peninsulas). Additionally, pixels detected at scan angles above 40o are excluded as they are affected by a significant off-nadir bias.

 

The 1 degree grid is created by averaging the mean fire radiative power of four individual 0.5 degree grid cells.  If all of the included 0.5 degree cells are flagged as “missing data”, then the 1 degree grid cell received the “missing value” of -999.00.

 

Additional Sources:

 

MODIS_Fire_Users_Guide_2.2 http://maps.geog.umd.edu/products/MODIS_Fire_Users_Guide_2.2.pdf

 

References:

 

Giglio, L., I. Csiszar and C.O. Justice, Global Distribution and Seasonality of Active Fires as Observed with the Terra and Aqua MODIS Sensors. Journal of Geophysical Research – Biogeosciences, in press.

 

Giglio, L., Descloitres, J., Justice, C. O., and Kaufman, Y., 2003: An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87:273-282.

 

Kaufman, Y.J., Justice, C.O., Flynn, L.P., Kendall, J.D., Prins, E.M., Giglio, L., Ward, D.E., Menzel, W.P., and Setzer, A.W., 1998.  Potential Global Fire Monitoring from EOS-MODIS.  Journal of Geophysical Research, 103(D24):32215-32238.

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