One decade(2011–2020)of European agricultural water stress monitoring by MSG-SEVIRI:workflow implementation on the Virtual Earth Laboratory(VLab)platform
作者机构：Institute of Bio-and Geosciences:Agrosphere (IBG-3)Forschungszentrum Jülich GmbHJülichGermany Institute for Environmental SciencesEnviroSPACE labUniversity of GenevaGenevaSwitzerland Institute of Atmospheric Pollution ResearchNational Research Council of Italy (CNR)Sesto FiorentinoItaly
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2022年第15卷第1期
页 面：730-747页
核心收录：
学科分类：08[工学] 0705[理学-地理学] 0816[工学-测绘科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：ET SEVIRI ESI water stress workflow Europe VLab demonstration
摘 要：Cloud computing facilities can provide crucial computing support for processing the time series of satellite data and exploiting their spatio-temporal information ***,dedicated efforts are still required to develop workflows,executable on cloud-based platforms,for ingesting the satellite data,performing the targeted processes,and generating the desired *** this study,an operational workflow is proposed,based on monthly Evaporative Stress Index(ESI)anomaly,and implemented in cloud-based online Virtual Earth Laboratory(VLab)platform,as a demonstration,to monitor European agricultural water *** this end,daily time-series of actual and reference evapotranspiration(ETa and ET0),from the Spinning Enhanced Visible and Infrared Imager(SEVIRI)sensor,were used to execute the proposed workflow successfully on *** execution of the workflow resulted in obtaining one decade(2011–2020)of European monthly agricultural water stress maps at 0.04˚spatial resolution and corresponding stress reports for each *** support open science,all the workflow outputs are stored in GeoServer,documented in GeoNetwork,and made available through *** enables creating a dashboard for better visualization of the results for *** results from this study demonstrate the capability of VLab platform for water stress detection from time series of SEVIRI-ET data.
维普期刊数据库