Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques

Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques

Anthropogenic interventions in natural and semi-natural ecosystems often lead to substantial changes in their functioning and may ultimately threaten ecosystem service provision. It is, therefore, necessary to monitor these changes in order to understand their impacts and to support management decis...

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Bibliographic Details
Main Authors: Marcel Schwieder, Pedro J. Leitão, Stefan Suess, Cornelius Senf, Patrick Hostert
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Remote Sensing
Subjects:
EnMAP
hyperspectral
land cover
partial least squares regression
random forest regression
shrub encroachment
Portugal
sub-pixel mapping
support vector regression
Online Access:http://www.mdpi.com/2072-4292/6/4/3427

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