Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer

Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer

Observation of the spatial distribution of cloud optical thickness (COT) is useful for the prediction and diagnosis of photovoltaic power generation. However, there is not a one-to-one relationship between transmitted radiance and COT (so-called COT ambiguity), and it is difficult to estimate COT be...

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Bibliographic Details
Main Authors: Ryosuke Masuda, Hironobu Iwabuchi, Konrad Sebastian Schmidt, Alessandro Damiani, Rei Kudo
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
deep learning
cloud
3D radiative transfer
sky-view camera
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/11/17/1962

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