A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available im...

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Bibliografische gegevens
Hoofdauteurs: Jie Zhou, Massimo Menenti, Li Jia, Bo Gao, Feng Zhao, Yilin Cui, Xuqian Xiong, Xuan Liu, Dengchao Li
Formaat: Artikel
Taal:English
Gepubliceerd in: Taylor & Francis Group 2023-12-01
Reeks:International Journal of Digital Earth
Onderwerpen:
time series reconstruction
remote sensing
google earth engine
hants
gap-filling
Online toegang:http://dx.doi.org/10.1080/17538947.2023.2192004

Internet

http://dx.doi.org/10.1080/17538947.2023.2192004

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