Estimation of some stand parameters from textural features from WorldView-2 satellite image using the artificial neural network and multiple regression methods: a case study from Turkey
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1629644
Abstract: Abstract The aim of this research is to assess some stand parameters such as stand volume (SV), basal area (BA), number of trees (NT) and aboveground biomass (AGB) of pure Crimean pine forest stands in… read more here.
Keywords: stand parameters; regression; worldview satellite; satellite image ... See more keywords
Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey
Sign Up to like & getrecommendations! Published in 2018 at "Forest Ecosystems"
DOI: 10.1186/s40663-018-0149-8
Abstract: BackgroundLeaf Area Index (LAI) is an important parameter used in monitoring and modeling of forest ecosystems. The aim of this study was to evaluate performance of the artificial neural network (ANN) models to predict the… read more here.
Keywords: stand parameters; artificial neural; study; area ... See more keywords