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

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成果类型：

期刊论文

作者：

Zhou, Jie;Menenti, Massimo;Jia, Li;Gao, Bo;Zhao, Feng;...

通讯作者：

Jie Zhou

作者机构：

[Zhou, Jie; Liu, Xuan; Zhao, Feng; Cui, Yilin; Xiong, Xuqian] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Luoyu Rd 152, Wuhan 430079, Peoples R China.

[Menenti, Massimo; Jia, Li] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.

[Zhou, Jie; Menenti, Massimo] Delft Univ Technol, Fac Civil Engn & Geosci, Stevinweg 1, NL-2825 CN Delft, Netherlands.

[Gao, Bo] Capital Normal Univ, Coll Resources Environm & Tourism, Beijing, Peoples R China.

[Li, Dengchao] First Geol brigade Hubei Geol Bur, Huangshi, Peoples R China.

通讯机构：

[Jie Zhou] K

Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Sciences, Central China Normal University, Wuhan, People’s Republic of China<&wdkj&>Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands

语种：

英文

关键词：

Time series reconstruction;remote sensing;Google Earth Engine;HANTS;gap-filling

期刊：

国际数字地球学报(英文)

ISSN：

1753-8947

年：

2023

卷：

期：

页码：

988-1007

DOI：

10.1080/17538947.2023.2192004

基金类别：

supported by the National Natural Science Foundation of China(grant number 42171371 and No.41701492) Mas simo Menenti acknowledges the support of the MOST High-Level Foreign Expert program(grant number G2022055010L) the Chinese Academy of Sciences President's International Fellowship Initiative(grant number 2020VTA0001).

机构署名：

本校为第一机构

院系归属：

城市与环境科学学院

摘要：

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 implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage resources. This study introduces a new open-source software package entitled 'HANTS-GEE' that implements a well-known and robust TSR algorithm, i.e. Harmonic...

摘要(中文)：

Spatiotemporal residual noise in terrestrial earth observation products,often caused by unfavorable atmospheri...展开更多 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 implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or...

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

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