Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
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DOI: 10.1016/j.rse.2020.112103
Abstract: Abstract Information about forest stand species distribution is essential for biodiversity modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon estimation, detection of non-native and invasive species, as well as for planning forest… read more here.
Keywords: machine learning; forest stand; stand species; learning algorithms ... See more keywords