Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine Learning Techniques

Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine Learning Techniques

Accurate estimation of polarized reflectance (<i>R</i><sub>p</sub>) of land surfaces is critical for remote sensing of aerosol optical properties. In the last two decades, many data-driven bidirectional polarization distribution function (BPDF) models have been proposed for a...

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Bibliographic Details
Main Authors: Siyuan Liu, Yi Lin, Lei Yan, Bin Yang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
bidirectional polarization distribution function (BPDF)
land surfaces
machine learning
random forest
POLDER
Online Access:https://www.mdpi.com/2072-4292/12/23/3891

Internet

https://www.mdpi.com/2072-4292/12/23/3891

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