The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product
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Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Daily fire detection has provided new insights into the seasonality of burning and the influence of fire-season length on fire size and total burned area.
“Daily fire detection has provided new insights into the seasonality of burning (Giglio, Csiszar, & Justice, 2006;Roy, Boschetti, Justice, & Ju, 2008), and the influence of fireseason length on fire size and total burned area (Andela et al., 2019).”
From Fire as a fundamental ecological process: Research advances and frontiers (2020) · cites this paper as Roy, Boschetti, Justice, & Ju, 2008
Cites
Warming and earlier spring increase western U.S. forest wildfire activity.
Westerling, A. L., Hidalgo, H. G., Cayan, D. R., & Swetnam, T. W. (2006) · Science · doi:10.1126/science.1128834 · Cited by 5,176 · cited 1× · see citing works
“There is a growing debate on the relationship between fire and climate change (Weber and Flannigan, 1997; Siegert et al., 2001; Alencaret al., 2006; Westerling et al., 2006; Denman et al., 2007) and a perceived increasing incidence, extent, and severity of uncontrolled burning globally that has lead to calls for inter…”
BackgroundThe global distribution of ecosystems in a world without fire
Bond, W. J., Woodward, F. I., & Midgley, G. F. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01252.x · Cited by 1,942 · see citing works
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 · see citing works
Cochrane, M. A. (2003) · Nature · doi:10.1038/nature01437 · Cited by 1,218 · see citing works
Biomass burning in Asia: annual and seasonal estimates and atmospheric emissions
Streets, D. G., Yarber, K. F., Woo, J. ‐., & Carmichael, G. R. (2003) · Global Biogeochemical Cycles · doi:10.1029/2003gb002040 · Cited by 807 · see citing works
Spatial and temporal distribution of tropical biomass burning
Hao, W. M., & Liu, M. (1994) · Global Biogeochemical Cycles · doi:10.1029/94gb02086 · Cited by 528 · see citing works
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The Global Extent and Determinants of Savanna and Forest as Alternative Biome States
Staver, A. C., Archibald, S., & Levin, S. A. (2011) · Science · doi:10.1126/science.1210465 · Cited by 1,353 · see citing works
What limits fire? An examination of drivers of burnt area in Southern Africa
ARCHIBALD, S., ROY, D. P., Van WILGEN, B. W., & SCHOLES, R. J. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01754.x · Cited by 773 · see citing works
Self-citationFire as a fundamental ecological process: Research advances and frontiers
McLauchlan, K. K., Higuera, P. E., Miesel, J., Rogers, B. M., Schweitzer, J., Shuman, J. K., Tepley, A. J., Varner, J. M., Veblen, T. T., Adalsteinsson, S. A., et al. (2020) · Journal of Ecology · doi:10.1111/1365-2745.13403 · Cited by 729 · see citing works
“Daily fire detection has provided new insights into the seasonality of burning (Giglio, Csiszar, & Justice, 2006; Roy, Boschetti, Justice, & Ju, 2008), and the influence of fire-season length on fire size and total burned area (Andela et al., 2019).”
Balch, J. K., Bradley, B. A., D'Antonio, C. M., & Gómez‐Dans, J. (2013) · Global Change Biology · doi:10.1111/gcb.12046 · Cited by 682 · see citing works
Southern African fire regimes as revealed by remote sensing
Archibald, S., Scholes, R. J., Roy, D. P., Roberts, G., & Boschetti, L. (2010) · International Journal of Wildland Fire · doi:10.1071/wf10008 · Cited by 241 · see citing works
Self-citationImpact of human population density on fire frequency at the global scale
Knorr, W., Kaminski, T., Arneth, A., & Weber, U. (2014) · Biogeosciences · doi:10.5194/bg-11-1085-2014 · Cited by 189 · see citing works
Williams, A. P., & Abatzoglou, J. T. (2016) · Current Climate Change Reports · doi:10.1007/s40641-016-0031-0 · Cited by 173 · see citing works
Climate, CO <sub>2</sub> and human population impacts on global wildfire emissions
Knorr, W., Jiang, L., & Arneth, A. (2016) · Biogeosciences · doi:10.5194/bg-13-267-2016 · Cited by 144 · see citing works
- Authors
- Roy, D. P., Boschetti, L., Justice, C. O., & Ju, J.
- Affiliations
- South Dakota State University (US)
- University of Maryland, College Park (US)
- Corresponding author
- Roy, D.P.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 112
- Issue
- 9
- Pages
- 3690-3707
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2059455952
- Cited by
- 722
- References
- 6
- Citations by year
- 2026: 20 · 2025: 24 · 2024: 26 · 2023: 27 · 2022: 22 · 2021: 37 · 2020: 35 · 2019: 55 · 2018: 100 · 2017: 45 · 2016: 53 · 2015: 51 · 2014: 46 · 2013: 45 · 2012: 37
- FWCI
- 29.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Remote Sensing of Environment (publishedVersion)
- Open PRAIRIE (South Dakota State University) (submittedVersion)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Fire Detection and Safety Systems
- Keywords
- fire detection, leaf area index, tree cover, land cover types, cropland, forest fires, spatio-temporal correlation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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