These data relate to a paper (Morisette et al., 2005) that describes the use of high-spatial-resolution ASTER data to determine the accuracy of the moderate resolution MODIS active fire product. Our main objective was to develop a methodology to use ASTER data for quantitative evaluation of the MODIS active fire product and to apply it to fires in Southern Africa during the 2001 burning season. We utilize eighteen ASTER scenes distributed throughout Southern Africa covering the time period August 5, 2001, to October 6, 2001. The MODIS fire product is characterized through the use of logistic regression models to establish a relationship between the binary MODIS fire/no fire product and summary statistics derived from ASTER data over the coincident MODIS pixel. Probabilities of detection are determined as a function of the total number of ASTER fires and Moran's I, a measure of the spatial heterogeneity of fires within the MODIS pixel. The statistical analysis is done for versions 3 and 4 of the MODIS fire detection algorithm. It is shown that the algorithm changes have a positive effect on the fire product accuracy.
More information can be found at: [ http://daac.ornl.gov/daacdata/safari2k/remote_sensing/modis_aster_fire/comp/read_me.txt ].
Cite this data set as follows:
Morisette, J. T., L. Giglio, I. Csiszar, and C. O. Justice. 2004. SAFARI 2000 ASTER and MODIS Fire Data Comparison, Dry Season 2001. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/707.
Morisette, J. T., L.Giglio, I. Csiszar, and C. O. Justice. 2005. Validation of the MODIS active fire product over Southern Africa with ASTER data. International Journal of Remote Sensing 26: 4239-4264.
File format for coupled ASTER and MODIS data file used in:
Morisette et al. (in press)
START of FILE | |
line 1 | ASTER file name |
line 2 | MODIS geolocation file name |
line 3 | MODIS fire product |
line 4 | Threshold for ASTER band 9, in counts |
line 5 through N+5 | (where N = the number of MODIS pixel with corresponding ASTER data) |
relX | "relX" and "relY" are the pixel coordinates of the MODIS swath data, relative to the subset of MODIS data overlapping the ASTER image such that (0,0) is the upper left MODIS pixel for the overlapping area |
relY | |
X | "X" and "Y" are the pixel coordinates in MODIS swath image (listed on line 3), with upper left corner pixel (0, 0) X = along scan direction Y = along track direction |
Y | |
lat | "lat" and "lon" are latitude and longitude in decimal degrees (Southern latitude is negative, Eastern longitude is positive) |
lon | |
MODIS | "MODIS" is the MODIS fire classification (more information is at http://edcdaac.usgs.gov/modis/mod14therm.html) 0: not processed (missing input data) 2: not processed (other reason) 3: water mask (no fire algorithm applied) 4: cloudy (significantly obscured by clouds so that no attempt is made to extract fire information) 5: no fire 6: unknown (information from adjacent pixel is unknown and contextual classifier can not be applied and single pixel information is not conclusive) 7: low-confidence fire 8: nominal-confidence fire 9: high-confidence fire |
count | "count" is the number of ASTER fire pixels within corresponding MODIS pixel |
Moran | "Moran" is the Moran's I calculation for the ASTER fire data within the corresponding MODIS pixel |
variance | "variance" is the variance of ASTER fire data within corresponding MODIS pixel |
The files posted here match the data listed in table 1 of the publication.
Scene | ASTER filename | Date | Lat | Lon | Coincident MODIS granule ID |
1 | pg-PR1B0000-2001081702_091_001 | 05-Aug | -14.04 | 27.53 | MODxx.A2001217.0840.vvv.*.hdf |
2 | pg-PR1B0000-2001081702_095_001 | 05-Aug | -19.39 | 26.36 | MODxx.A2001217.0840.vvv.*.hdf |
3 | pg-PR1B0000-2001091402_112_001 | 01-Sep | -12.69 | 30.48 | MODxx.A2001244.0820.vvv.*.hdf |
4 | pg-PR1B0000-2001091402_031_001 | 01-Sep | -16.96 | 29.52 | MODxx.A2001244.0820.vvv.*.hdf |
5 | pg-PR1B0000-2001091602_042_001 | 04-Sep | -12.98 | 24.73 | MODxx.A2001247.0850.vvv.*.hdf |
6 | pg-PR1B0000-2001091602_045_001 | 04-Sep | -15.65 | 24.15 | MODxx.A2001247.0850.vvv.*.hdf |
7 | pg-PR1B0000-2001092202_069_001 | 09-Sep | -14.98 | 18.69 | MODxx.A2001252.0910.vvv.*.hdf |
8 | pg-PR1B0000-2001092202_001_001 | 09-Sep | -22.46 | 16.98 | MODxx.A2001252.0910.vvv.*.hdf |
9 | pg-PR1B0000-2001100702_081_001 | 18-Sep | -18.19 | 44.26 | MODxx.A2001261.0725.vvv.*.hdf |
10 | pg-PR1B0000-2001101102_017_001 | 23-Sep | -12.33 | 16.31 | MODxx.A2001266.0920.vvv.*.hdf |
11 | pg-PR1B0000-2001101302_111_001 | 28-Sep | -17.17 | 35.56 | MODxx.A2001271.0800.vvv.*.hdf |
12 | pg-PR1B0000-2001101302_275_001 | 28-Sep | -13.96 | 36.26 | MODxx.A2001271.0800.vvv.*.hdf |
13 | pg-PR1B0000-2001101502_039_001 | 29-Sep | -13.24 | 24.27 | MODxx.A2001272.0845.vvv.*.hdf |
14 | pg-PR1B0000-2001101502_050_001 | 29-Sep | -22.31 | 22.15 | MODxx.A2001272.0845.vvv.*.hdf |
15 | pg-PR1B0000-2001101603_130_001 | 01-Oct | -11.29 | 29.14 | MODxx.A2001274.0830.vvv.*.hdf |
16 | pg-PR1B0000-2001101603_155_001 | 02-Oct | -12.32 | 17.78 | MODxx.A2001275.0915.vvv.*.hdf |
17 | pg-PR1B0000-2001101603_017_001 | 02-Oct | -13.92 | 17.43 | MODxx.A2001275.0915.vvv.*.hdf |
18 | pg-PR1B0000-2001102002_118_001 | 05-Oct | -26.83 | 32.13 | MODxx.A2001278.0810.vvv.*.hdf |
2004/5/12
2004/5/12
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