A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics

A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics

Combined with increasing computing ability, the free and open access to Landsat archive has enabled the changes on the Earth’s surface to be monitored for almost 50 years. However, due to missing observations that result from clouds, cloud shadows, and scan line corrector failure, the Landsat data r...

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Bibliographic Details
Main Authors:	Zhipeng Tang, Hari Adhikari, Petri K.E. Pellikka, Janne Heiskanen
Format:	Article
Language:	English
Published:	Elsevier 2021-07-01
Series:	International Journal of Applied Earth Observations and Geoinformation
Subjects:	Landsat Remote sensing Image reconstruction Gap filling k-Nearest Neighbor regression
Online Access:	http://www.sciencedirect.com/science/article/pii/S030324342100026X

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