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A deep learning approach to identify smoke plumes in satell..:

Larsen, Alexandra ; Hanigan, Ivan ; Reich, Brian J...
Larsen , A , Hanigan , I , Reich , B J , Qin , Y , Cope , M , Morgan , G & Rappold , A G 2021 , ' A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication ' , Journal of Exposure Science and Environmental Epidemiology , vol. 31 , no. 1 , pp. 170-176 . https://doi.org/10.1038/s41370-020-0246-y. , 2021

Link: https://researchprofiles.canberra.edu.au/en/publicatio..

RT Journal
T1 <Title>A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftcanberrauncris:oai:pure.atira.dk:publications_c2b01cbb-276b-412e-8595-d5ae66ea97f7&Exemplar=1&LAN=DE
				
A1 Larsen, Alexandra
A1 Hanigan, Ivan
A1 Reich, Brian J
A1 Qin, Yi
A1 Cope, Martin
A1 Morgan, Geoffrey
A1 Rappold, Ana G
YR 2021
JF Larsen , A , Hanigan , I , Reich , B J , Qin , Y , Cope , M , Morgan , G & Rappold , A G 2021 , ' A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication ' , Journal of Exposure Science and Environmental Epidemiology , vol. 31 , no. 1 , pp. 170-176 . https://doi.org/10.1038/s41370-020-0246-y
LK http://dx.doi.org/https://researchprofiles.canberra.edu.au/en/publications/c2b01cbb-276b-412e-8595-d5ae66ea97f7
DO https://researchprofiles.canberra.edu.au/en/publications/c2b01cbb-276b-412e-8595-d5ae66ea97f7
SF ELIB - SuUB Bremen

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