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A Machine Learning Approach to Map Tropical Selective Logging
View ORCID ProfileMG Hethcoat, DP Edwards, View ORCID ProfileJMB Carreiras, View ORCID ProfileRG Bryant, View ORCID ProfileFM França, View ORCID ProfileS Quegan
doi: https://doi.org/10.1101/451856
MG Hethcoat
1School of Mathematics and Statistics, University of Sheffield, Sheffield, S3 7RH, UK
2Grantham Centre for Sustainable Futures, University of Sheffield, Sheffield S10 2TN, UK
DP Edwards
3Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
JMB Carreiras
4National Centre for Earth Observation, University of Sheffield, Sheffield, S3 7RH, UK
RG Bryant
5Department of Geography, University of Sheffield, Sheffield, S3 7ND, UK
FM França
6Lancaster Environment Centre, University of Lancaster, Lancaster, LA1 4YQ, UK
7Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, 66075-110, Brazil.
S Quegan
1School of Mathematics and Statistics, University of Sheffield, Sheffield, S3 7RH, UK
Posted October 24, 2018.
A Machine Learning Approach to Map Tropical Selective Logging
MG Hethcoat, DP Edwards, JMB Carreiras, RG Bryant, FM França, S Quegan
bioRxiv 451856; doi: https://doi.org/10.1101/451856
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