With the development of spatial information industry, traditional systems that are limited by scalability and reliability cannot well satisfy the huge amount of service need. The cloud computing has advantages of good scalability, high reliability and high availability, which can provide powerful technical support to promote the capability of spatial information service system. This paper proposed a new spatial analysis service system based on cloud computing. The design of the system followed the principle of application as a service. In the implementation of the prototype, we make full use of the distributed file system, distributed database and Map/Reduce programming paradigm to support massive data management and parallel processing. Fi...
The increase of high-resolution spatial data and methodological developments in recent years has ena...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Cloud Computing is an approach that provides computation and storage services on-demand to clients o...
Web service can bring together applications running on diverse platforms, users can access and share...
Recent development in both hardware and software infrastructure have given big push and new directio...
Cloud computing is one of the main issues of interest to the scientific community of the spatial dat...
Abstract-As the deep development of spatial information sharing service, it brings forward high requ...
In this paper we propose a software architecture that allows for processing of large geospatial data...
In this paper we propose a software architecture that allows for processing of large geospatial data...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
AbstractData semantics play an extremely significant role in spatial data infrastructures by providi...
Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, ag...
The increase of high-resolution spatial data and methodological developments in recent years has ena...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Cloud Computing is an approach that provides computation and storage services on-demand to clients o...
Web service can bring together applications running on diverse platforms, users can access and share...
Recent development in both hardware and software infrastructure have given big push and new directio...
Cloud computing is one of the main issues of interest to the scientific community of the spatial dat...
Abstract-As the deep development of spatial information sharing service, it brings forward high requ...
In this paper we propose a software architecture that allows for processing of large geospatial data...
In this paper we propose a software architecture that allows for processing of large geospatial data...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
There are ever-increasing challenges in the development of spatial data. The data increase rises con...
AbstractData semantics play an extremely significant role in spatial data infrastructures by providi...
Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, ag...
The increase of high-resolution spatial data and methodological developments in recent years has ena...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...