A Global Analysis of the Spatial and Temporal Variability of Usable Landsat Observations at the Pixel Scale

A Global Analysis of the Spatial and Temporal Variability of Usable Landsat Observations at the Pixel Scale

The Landsat program has the longest collection of moderate-resolution satellite imagery, and the data are free to everyone. With the improvements of standardized image products, the flexibility of cloud computing platforms, and the development of time series approaches, it is now possible to conduct...

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Bibliographic Details
Main Authors: Yingtong Zhang, Curtis E. Woodcock, Paulo Arévalo, Pontus Olofsson, Xiaojing Tang, Radost Stanimirova, Eric Bullock, Katelyn R. Tarrio, Zhe Zhu, Mark A. Friedl
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Remote Sensing
Subjects:
landsat
time series
data density
pixel quality
land change
land cover
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2022.894618/full

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