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Global spatial and temporal distribution of vegetation fire as determined from satellite observations
Abstract
Vegetation fires occur worldwide, all year round and inject enormous amounts of trace gases and particles into the atmosphere. Nonetheless, there is still great uncertainty as to the global spatial and temporal distribution of vegetation fires. Twenty one months of global, daily, daytime satellite data at 1 km resolution, from April 1992 to December 1993, were processed in order to determine the positions of active vegetation fires. Results from the first twelve months of the study period are presented here. This is the first time that such a global study has been carried out using a long time series data set and a single processing technique. The data set and results discussed provide much improved information on the spatial variability and the seasonality of vegetation fires. They will be of use in the global mapping and modelling of emissions due to biomass burning as well as in the study of the role of fire in land cover maintenance and change. We show that half of the fires detected were on the African continent and over 70% within the tropical belt. Fires were detected in more than 6% of 1 km2 pixels, over land, during the 12-month period and savanna grasslands accounted for over one third of this area.
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“To date, global analyses have used satellite-derived active fire and burned area data to describe the extent, interannual variability, and seasonality of burning (3, 7–9).”
From Defining pyromes and global syndromes of fire regimes (2013) · cites this paper as [7]
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Metadata
- Authors
- Dwyer, E., Pinnock, S., Gregoire, J.-M., & Pereira, J. M. C.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2000-01
- Volume
- 21
- Issue
- 6-7
- Pages
- 1289-1302
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2163960322
- Cited by
- 233
- References
- 27
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 9 · 2022: 6 · 2021: 8 · 2020: 9 · 2019: 5 · 2018: 11 · 2017: 8 · 2016: 8 · 2015: 13 · 2014: 8 · 2013: 11 · 2012: 7
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Remote Sensing (publishedVersion)
- Funders
- European Commission
- National Oceanic and Atmospheric Administration
- U.S. Geological Survey
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Fire Detection and Safety Systems
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- vegetation fires, fire detection, satellite remote sensing, biomass burning emissions, fire seasonality, savanna grassland, tropical fires, land cover change, fire mapping
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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