TY  - JOUR 
AU  - Garcia-Hidalgo, Miguel
AU  - Blázquez-Casado, Ángela
AU  - Águeda Hernández, Beatriz
AU  - Rodriguez, Francisco
PY  - 2018
SN  - 2171-5068
UR  - https://uvadoc.uva.es/handle/10324/67911
AB  - Aim of study: The main objective is to determine the best machine-learning algorithm to classify the stand types of Monteverde forests combining LiDAR, orthophotography, and Sentinel-2 data, thus providing an easy and cheap method to classify...
LA  - spa
KW  - RF algorithm
KW  - SVML algorithm
KW  - SVMR algorithm
KW  - ANN algorithm
KW  - LiDAR
KW  - Orthophotography
KW  - Sentinel-2
TI  - Stand types discrimination comparing machine-learning algorithms in Monteverde, Canary Islands.
DO  - 10.5424/fs/2018273-13686
ER  -