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The Collection 6 MODIS burned area mapping algorithm and product
Open accessAbstract
The two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on-board NASA's Terra and Aqua satellites have provided nearly two decades of global fire data. Here, we describe refinements made to the 500-m global burned area mapping algorithm that were implemented in late 2016 as part of the MODIS Collection 6 (C6) land-product reprocessing. The updated algorithm improves upon the heritage Collection 5.1 (C5.1) MCD64A1 and MCD45A1 algorithms by offering significantly better detection of small burns, a modest reduction in burn-date temporal uncertainty, and a large reduction in the extent of unmapped areas. Comparison of the C6 and C5.1 MCD64A1 products for fifteen years (2002-2016) on a regional basis shows that the C6 product detects considerably more burned area globally (26%) and in almost every region considered. The sole exception was in Boreal North America, where the mean annual area burned was 6% lower for C6, primarily as a result of a large increase in the number of small lakes mapped (and subsequently masked) at high latitudes in the upstream C6 input data. With respect to temporal reporting accuracy, 44% of the C6 MCD64A1 burned grid cells were de-tected on the same day as an active fire, and 68% within 2 days, which represents a substantial reduction in temporal uncertainty compared to the C5.1 MCD64A1 and MCD45A1 products. In addition, an areal accuracy assessment of the C6 burned area product undertaken using high resolution burned area reference maps derived from 108 Landsat image pairs is reported.
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Cites
Interannual variability in global biomass burning emissions from 1997 to 2004
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano, A. F. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3423-2006 · Cited by 1,656
Self-citationA human-driven decline in global burned area
Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S., et al. (2017) · Science · doi:10.1126/science.aal4108 · Cited by 1,262
Self-citationGlobal estimation of burned area using MODIS active fire observations
Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J., & Kasibhatla, P. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-957-2006 · Cited by 635
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Cited by
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Bakker, D. C. E., Hauck, J., Landschützer, P., Le Quéré, C., Luijkx, I. T., Peters, G. P., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-5301-2023 · Cited by 1,500
Global and Regional Trends and Drivers of Fire Under Climate Change
Jones, M. W., Abatzoglou, J. T., Veraverbeke, S., Andela, N., Lasslop, G., Forkel, M., Smith, A. J. P., Burton, C., Betts, R. A., van der Werf, G. R., et al. (2022) · Reviews of Geophysics · doi:10.1029/2020rg000726 · Cited by 1,332
Amazonia as a carbon source linked to deforestation and climate change
Gatti, L. V., Basso, L. S., Miller, J. B., Gloor, M., Gatti Domingues, L., Cassol, H. L. G., Tejada, G., Aragão, L. E. O. C., Nobre, C., Peters, W., et al. (2021) · Nature · doi:10.1038/s41586-021-03629-6 · Cited by 1,081
Unprecedented burn area of Australian mega forest fires
Boer, M. M., Resco de Dios, V., & Bradstock, R. A. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0716-1 · Cited by 666
The drivers and impacts of Amazon forest degradation
Lapola, D. M., Pinho, P., Barlow, J., Aragão, L. E. O. C., Berenguer, E., Carmenta, R., Liddy, H. M., Seixas, H., Silva, C. V. J., Silva-Junior, C. H. L., et al. (2023) · Science · doi:10.1126/science.abp8622 · Cited by 630
Metadata
- Authors
- Giglio, L., Boschetti, L., Roy, D. P., Humber, M. L., & Justice, C. O.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 217
- Pages
- 72-85
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2887685367
- Cited by
- 1,286
- References
- 3
- FWCI
- 49.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
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