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

作     者：Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li 

作者机构：Key Laboratory for Geographical Process Analysis&Simulation of Hubei ProvinceCollege of Urban and Environmental SciencesCentral China Normal UniversityWuhanPeople’s Republic of China State Key Laboratory of Remote Sensing ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China Faculty of Civil Engineering and GeosciencesDelft University of TechnologyDelftThe Netherlands College of Resources Environment and TourismCapital Normal UniversityBeijingPeople’s Republic of China The First Geological brigade of Hubei Geological BureauHuangshiPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2023年第16卷第1期

页      面：988-1007页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081002[工学-信号与信息处理] 

基　　金：supported by the National Natural Science Foundation of China(grant number 42171371 and No.41701492) Massimo 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) 

主　　题：Time series reconstruction remote sensing Google Earth Engine HANTS gap-filling 

摘      要：Spatiotemporal residual noise in terrestrial earth observation products,often caused by unfavorable atmospheric conditions,impedes their broad *** users prefer to use gap-filled remote sensing products with time series reconstruction(TSR)*** currently available implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage *** study introduces a new open-source software package entitled‘HANTS-GEE’that implements a well-known and robust TSR algorithm,*** ANalysis of Time Series(HANTS),on the Google Earth Engine(GEE)platform for scalable reconstruction of terrestrial earth observation *** tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on *** to site-based and regional-based case evaluation,the new tool can effectively eliminate cloud contamination in the time series of earth observation *** with traditional PC-based HANTS implementation,the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated *** HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume,promoting algorithm usage by much broader user *** our knowledge,the software package is thefirst tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms.