Stand types discrimination comparing machine-learning algorithms in Monteverde, Canary Islands.

Stand types discrimination comparing machine-learning algorithms in Monteverde, Canary Islands.

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 Monteverde stand types. Area of study: 1500 ha forest in...

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Bibliographic Details
Main Authors: Miguel Garcia-Hidalgo, Ángela Blázquez-Casado, Beatriz Águeda, Francisco Rodriguez
Format: Article
Language:English
Published: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 2018-12-01
Series:Forest Systems
Subjects:
RF algorithm
SVML algorithm
SVMR algorithm
ANN algorithm
LiDAR
orthophotography
Sentinel-2
Online Access:http://revistas.inia.es/index.php/fs/article/view/13686

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