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 

机构地区：[1]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 [2]State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,People’s Republic of China [3]Faculty of Civil Engineering and Geosciences,Delft University of Technology,Delft,The Netherlands [4]College of Resources Environment and Tourism,Capital Normal University,Beijing,People’s Republic of China [5]The First Geological brigade of Hubei Geological Bureau,Huangshi,People’s Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期988-1007,共20页国际数字地球学报（英文）

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).

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 ANalysis of Time Series(HANTS),on the Google Earth Engine(GEE)platform for scalable reconstruction of terrestrial earth observation data.Reconstruction tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on GEE.According to site-based and regional-based case evaluation,the new tool can effectively eliminate cloud contamination in the time series of earth observation data.Compared with traditional PC-based HANTS implementation,the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated sites.The HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume,promoting algorithm usage by much broader user communities.To our knowledge,the software package is thefirst tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms.

关 键 词：Time series reconstruction remote sensing Google Earth Engine HANTS GAP-FILLING 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]