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Optimisation of tower site locations for camera-based wildfire detection systems
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A B C H , Warren du Plessis C , Michael Kosch D E F G and Gavin Hough G
+ Author Affiliations
- Author Affiliations
A Department of Science and Technology-National Research Foundation (DST-NRF) Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS), Private Bag 3, Wits 2050, Johannesburg, South Africa.
B Laboratory for Location Science, Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA.
C University of Pretoria, Lynnwood Road, Pretoria, 0002, South Africa.
D South African National Space Agency, Hospital Street, Hermanus, 7200, South Africa.
E Department of Physics, Lancaster University, Lancaster LA1 4YW, UK.
F University of Western Cape, Robert Sobukwe Road, Bellville, Cape Town, 7535, South Africa.
G EnviroVision Solutions, PO Box 1535, Westville, Durban, 3630, South Africa.
H Corresponding author. Email: andriesheyns@gmail.com
International Journal of Wildland Fire 28(9) 651-665 https://doi.org/10.1071/WF18196
Submitted: 26 November 2018 Accepted: 10 July 2019 Published: 20 August 2019
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