Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques

Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques

Cloud obscuration leaves significant gaps in MODIS snow cover products. In this study, an innovative gap-filling method based on the concept of non-local spatio-temporal filtering (NSTF) is proposed to reconstruct the cloud gaps in MODIS fractional snow cover (SCF) products. The ground information o...

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Bibliographic Details
Main Authors: Jinliang Hou, Chunlin Huang, Ying Zhang, Jifu Guo, Juan Gu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
MODIS
SCF
cloud cover
gap-filling
NSTF
Online Access:http://www.mdpi.com/2072-4292/11/1/90

Internet

http://www.mdpi.com/2072-4292/11/1/90

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