A scalable cyberinfrastructure and cloud computing platform for forest aboveground biomass estimation based on the Google Earth Engine  

作　　者：Zelong Yang Wenwen Li Qi Chen Sheng Wu Shanjun Liu Jianya Gong 

机构地区：[1]The State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,People’s Republic of China [2]School of Geographical Sciences and Urban Planning,Arizona State University,Tempe,AZ,USA [3]Department of Geography and Environment,University of Hawaii at Mānoa,Honolulu,HI,USA [4]School of Computer and Information Science,Southwest University,Chongqing,People’s Republic of China [5]School of Resources and Civil Engineering,Northeastern University,Shenyang

出　　处：《International Journal of Digital Earth》2019年第9期995-1012,共18页国际数字地球学报（英文）

摘　　要：Earth observation(EO)data,such as high-resolution satellite imagery or LiDAR,has become one primary source for forests Aboveground Biomass(AGB)mapping and estimation.However,managing and analyzing the large amount of globally or locally available EO data remains a great challenge.The Google Earth Engine(GEE),which leverages cloud-computing services to provide powerful capabilities on the management and rapid analysis of various types of EO data,has appeared as an inestimable tool to address this challenge.In this paper,we present a scalable cyberinfrastructure for on-the-fly AGB estimation,statistics,and visualization over a large spatial extent.This cyberinfrastructure integrates state-of-the-art cloud computing applications,including GEE,Fusion Tables,and the Google Cloud Platform(GCP),to establish a scalable,highly extendable,and highperformance analysis environment.Two experiments were designed to demonstrate its superiority in performance over the traditional desktop environment and its scalability in processing complex workflows.In addition,a web portal was developed to integrate the cyberinfrastructure with some visualization tools(e.g.Google Maps,Highcharts)to provide a Graphical User Interfaces(GUI)and online visualization for both general public and geospatial researchers.

关 键 词：Above ground biomass cloud computing Google Earth Engine visualization 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]