P
Patrick H. Freeborn
Researcher at United States Forest Service
Publications - 34
Citations - 2448
Patrick H. Freeborn is an academic researcher from United States Forest Service. The author has contributed to research in topics: Moderate-resolution imaging spectroradiometer & Environmental science. The author has an hindex of 17, co-authored 31 publications receiving 1746 citations. Previous affiliations of Patrick H. Freeborn include King's College London & South Dakota State University.
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Journal ArticleDOI
Climate-induced variations in global wildfire danger from 1979 to 2013
W. Matt Jolly,Mark A. Cochrane,Patrick H. Freeborn,Zachary A. Holden,Timothy J. Brown,Grant J. Williamson,David M. J. S. Bowman +6 more
TL;DR: This article used three daily global climate data sets and three fire danger indices to develop a simple annual metric of fire weather season length, and map spatio-temporal trends from 1979 to 2013.
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Relationships between energy release, fuel mass loss, and trace gas and aerosol emissions during laboratory biomass fires
Patrick H. Freeborn,Patrick H. Freeborn,Martin J. Wooster,Wei Min Hao,Cecily Ryan,Bryce L. Nordgren,Stephen Baker,Charles Ichoku,Charles Ichoku +8 more
TL;DR: In this article, the authors examined the relationship between biomass consumption, smoke production, convective energy release, and middle infrared (MIR) measurements of fire radiative energy (FRE).
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New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America
TL;DR: In this paper, a new algorithm for detecting and characterising active fires burning within the imager footprints of the Geostationary Operational Environmental Satellites (GOES), including consideration of cloud-cover and calculation of fire radiative power (FRP), is presented.
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Quantification of MODIS fire radiative power ( FRP) measurement uncertainty for use in satellite- based active fire characterization and biomass burning estimation
TL;DR: In this paper, the authors quantified the precision of MODIS measurements of fire radiative power (FRP) by collecting duplicate, off-nadir, overlapping observations of the same fires and demonstrated that the sensitivity of biomass burning estimates to FRP uncertainties can be mitigated by conducting inventories at coarser spatiotemporal resolutions.
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Addressing the spatiotemporal sampling design of MODIS to provide estimates of the fire radiative energy emitted from Africa
TL;DR: In this article, the impact of the MODIS sampling design on estimates of fire radiative power (FRP) and energy (FRE) emitted from open biomass burning are affected by the spatiotemporal resolution of polar-orbiting and geostationary sensors.