Modelling dasometric attributes of mixed and uneven-aged forests using Landsat-8 OLI spectral data in the Sierra Madre Occidental, Mexico

Modelling dasometric attributes of mixed and uneven-aged forests using Landsat-8 OLI spectral data in the Sierra Madre Occidental, Mexico

Remote sensors can be used as a robust and effective means of monitoring isolated or inaccessible forest sites. In the present study, the multivariate adaptive regression splines (MARS) technique was successfully applied to remotely sensed data collected by the Landsat-8 satellite to estimate mean d...

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Bibliographic Details
Main Authors: López-Sánchez CA, García-Ramírez P, Resl R, Hernández-Díaz JC, López-Serrano PM, Wehenkel C
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2017-02-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Multivariate Adaptive Regression Splines
Mixed Forest
Uneven-aged Forest
Stand Variables
Remote Sensing
Terrain Features
Online Access:https://iforest.sisef.org/contents/?id=ifor1891-009

Internet

https://iforest.sisef.org/contents/?id=ifor1891-009

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