A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data.

ABSTRACT. - As a forest structural parameter, leaf area index (LAI) is crucial for efficient intensive plantation management. Leaf area is responsible for the energy absorption needed for photosynthetic production and transpiration, both affecting growth. Currently, LAI can be estimated either by re...

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Bibliographic Details

Main Author:	HIRIGOYEN, A. (author)
Other Authors:	ACOSTA-MUÑOZ, C. (author), SALAMANCA, A.J.A. (author), VARO-MARTINEZ, M.Á. (author), RACHID, C. (author), FRANCO, J. (author), NAVARRO-CERRILLO, R. (author)
Format:	article
Language:	English
Published:	2021
Subjects:	Intensive silviculture LAI canopy Machine learning algorithms
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=62842&biblioteca=vazio&busca=62842&qFacets=62842
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