Status for: Thermal Anomalies/Fire (MOD14)
Stage 3 validation of the Terra MODIS Collection 6 active fire detection product has been achieved.
Approximately 2,500 ASTER scenes (60×60km each) were used to assess the performance of the MOD14 product globally. An equidistant grid (900km diameter cells) was used to provide an unbiased spatial sampling of fire pixels (Figure 1). Three temporal subsets of MODIS Terra data were represented in the validation, namely: 2001-2002, 2003-2004, and 2005-2006. A similar number of ASTER scenes were used for each temporal subset providing unbiased multi-year sampling of fire pixels. Approximately 16,000 daytime and 700 nighttime MOD14 fire pixels were sampled globally.
Omission errors for the Collection 6 MOD14 product is approximately 10% lower for large fires in areas with high percentage tree cover, compared to Collection 5 data (Figure 2, below left). Overall, omission errors tend to stabilize at 5% as fires grow larger in size. The Collection 6 MOD14 daytime commission errors (false alarms) were also reduced, compared to Collection 5. The improvement was particularly noticeable in tropical forests characterized by high percentage tree cover (Figure 3, below right). False alarms occurring in densely vegetated areas tend to coincide with recently burned plots identified by the presence of a discernable scar. Nighttime commission error was estimated to be negligible.
Stage 1 validation has been achieved for the MODIS Fire Radiative Power (FRP) product
Validation of FRP data are challenging because FRP retrieval requires unsaturated radiances, which are generally not provided by medium resolution sensors (e.g., Landsat-class data) typically used as reference data. Opportunistic validation exercises to-date have used reference data from the experimental small satellite BIRD, or airborne thermal imaging systems (Dickinson et al., 2016; Schroeder et al. 2014). As a result of the limited data available, the MOD14 FRP data remains validated at Stage 1. The top-of-atmosphere FRP data uncertainty can be relatively high (˜50%) and will vary depending on the observation conditions (e.g., fire fractional area and pixel spatial response function effects, as well as atmospheric attenuation).
Product version: Collection 6
Title: The collection 6 MODIS active fire detection algorithm and fire products |
Author: Louis Giglio, Wilfrid Schroeder, Christopher O. Justice |
Source: Remote Sensing of Environment, Volume 178, 2016, Pages 31-41. |
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Title: Measuring radiant emissions from entire prescribed fires with ground, airborne and satellite sensors — RxCADRE 2012 |
Author: Dickinson, M.B., Hudak, A.T., Zajkowski, T., Loudermilk, E.L., Schroeder, W., Ellison, L., Kremens, R.L., Holley, W., Martinez, O., Paxton, A., Bright, B.C., O'Brien, J.J., Hornsby, B., Ichoku, C., Faulring, J., Gerace, A., Peterson, D., and Mauceri, J. |
Source: International Journal of Wildland Fire, 25, 48-61 |
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Title: Integrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data. |
Author: Schroeder, W., Ellicott, E., Ichoku, C., Ellison, L., Dickinson, M.B., Ottmar, R.D., Clements, C., Hall, D., Ambrosia, V., & Kremens, R. |
Source: Remote Sensing of Environment, 140, 719-730 |
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Title: ntegrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data |
Author: Schroeder, W., Ellicott, E., Ichoku, C., Ellison, L., Dickinson, M.B., Ottmar, R.D., Clements, C., Hall, D., Ambrosia, V., and Kremens, R. |
Source: Remote Sensing of Environment, 140, 719-730 |
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Title: A pragmatic assessment of the usefulness of the MODIS (Terra and Aqua) 1-km active fire (MOD14A2 and MYD14A2) products for mapping fires in the fynbos biome |
Author: Helen deKlerk |
Source: International Journal of Wildland Fire (2008), 17, 166-178 |
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Title: Detection rates of the MODIS active fire product in the United States |
Author: Todd J. Hawbaker, Volker C. Radeloff, Alexandra D. Syphard, Zhiliang Zhu, Susan I. Stewart |
Source: Remote Sensing of Environment 112 (2008) 2656-2664 |
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Title: Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data |
Author: Wilfrid Schroeder, Elaine Prins, Louis Giglio, Ivan Csiszar , Christopher Schmidt, Jeffrey Morisette, Douglas Morton |
Source: Remote Sensing of Environment 112 (2008) 2711-2726 |
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Title: Validation of Active Fire Detection From Moderate-Resolution Satellite Sensors: The MODIS Example in Northern Eurasia |
Author: Ivan A. Csiszar, Jeffrey T. Morisette, and Louis Giglio |
Source: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 7, JULY 2006 |
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Title: Validation of MODIS active fire detection products derived from two algorithms |
Author: Jeff Morisette, Louis Giglio, Ivan Csiszar, Alberto Setzer, Wilfrid Schroeder, Douglas Morton, Chris Justice |
Source: Earth Interactions, v. 9, no. 9 |
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Title: Validation of the MODIS active fire product over Southern Africa with ASTER data |
Author: Jeff Morisette, Louis Giglio, Ivan Csiszar, Chris Justice |
Source: International Journal of Remote Sensing, Vol. 26, No. 19, 10 October 2005, 4239-4264 |
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Title: Validation of MODIS fire product over Sumatra and Borneo using High Resolution SPOT Imagery |
Author: Soo Chin Liew, Chaomin Shen, John Low, Agnes Lim, Leong Keong Kwoh |
Source: Proc. 24th Asian Conference on Remote Sensing & 2003 International Symposium on Remote Sensing |
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Title: Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products |
Author: Wooster, M.J., Zhukov, B., and Oertel, D. |
Source: Remote Sensing of Environment, 86, Issue 1, pp. 83-107 |
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Title: The MODIS fire products. |
Author: Justice, CO, Giglio L, Korontzi S, Owens J, Morisette JT, Roy D, Descloitres J, Alleaume S, Petitcolin F, Kaufman YJ |
Source: Remote Sensing of Environment, 83, 244-262. |
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