{"title":"Web-Based Geospatial Data Processing Technology -- A Case Study on Ocean Data","authors":"Xin Zhang, Wen Dong, Jian Liu, Huabin Chen","doi":"10.1109/WISM.2010.25","DOIUrl":null,"url":null,"abstract":"The geospatial data such as ocean in situ observing data, remotely sensed data, and model output are produced in a distributed geographical environment. These data have significant scientific value to construct Digital Ocean. However, given the relatively high temporal frequency and the intrinsic spatial nature of the data, the data set is relatively difficult to use directly by Digital Ocean system without pre-processing. In this paper, we report an effort to develop web service-based data processing system in a distributed web environment to facilitate the exploration, visualization, and analysis of the geospatial data especially ocean data. These automatic processing functions will enable the digital ocean system to examine and use different aspects of the data on-line. Various functions and utilities of the prototype system are reviewed in this paper. And the architecture and technical solutions proposed in this paper are verified by implementation of Digital Ocean Prototype System of China.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The geospatial data such as ocean in situ observing data, remotely sensed data, and model output are produced in a distributed geographical environment. These data have significant scientific value to construct Digital Ocean. However, given the relatively high temporal frequency and the intrinsic spatial nature of the data, the data set is relatively difficult to use directly by Digital Ocean system without pre-processing. In this paper, we report an effort to develop web service-based data processing system in a distributed web environment to facilitate the exploration, visualization, and analysis of the geospatial data especially ocean data. These automatic processing functions will enable the digital ocean system to examine and use different aspects of the data on-line. Various functions and utilities of the prototype system are reviewed in this paper. And the architecture and technical solutions proposed in this paper are verified by implementation of Digital Ocean Prototype System of China.