We are developing a unified distributed communication environment for processing of spatial data which integrates web-, desktop- and mobile platforms and combines volunteer computing model and public cloud possibilities. The main idea is to create a flexible working environment for research groups, which may be scaled according to required data volume and computing power, while keeping infrastructure costs at minimum. It is based upon the "single window" principle, which combines data access via geoportal functionality, processing possibilities and communication between researchers. Using an innovative software environment the recently developed planetary information system (<a href="http://cartsrv.mexlab.ru/geoportal"target="_blank">http:/...
This paper presents the design and development of an interoperable geoportal service for discovery a...
Scientific data is being collected and maintained in dig-ital form in high volumes by many research ...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Abstract. The spatial data presented several characteristics of mass, multiple, isomerism and multip...
Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, ag...
The article includes the issues of design, development and introduction of project-oriented spatial ...
Earth Observation techniques offer many powerful instruments for Earth planet study, urban developme...
In this paper we propose a software architecture that allows for processing of large geospatial data...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
In this paper we propose a software architecture that allows for processing of large geospatial data...
The article describes the basic requirements for the integration of knowledge, visualization and dis...
Processing and distribution of big space data still implies the treatment of massive and large-sized...
This paper presents the design and development of an interoperable geoportal service for discovery a...
Today, scientists use local and closed geospatial solutions to run their models and store their resu...
Abstract: Natural resources management policies often entail a complex environmental decision-making...
This paper presents the design and development of an interoperable geoportal service for discovery a...
Scientific data is being collected and maintained in dig-ital form in high volumes by many research ...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
Abstract. The spatial data presented several characteristics of mass, multiple, isomerism and multip...
Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, ag...
The article includes the issues of design, development and introduction of project-oriented spatial ...
Earth Observation techniques offer many powerful instruments for Earth planet study, urban developme...
In this paper we propose a software architecture that allows for processing of large geospatial data...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
In this paper we propose a software architecture that allows for processing of large geospatial data...
The article describes the basic requirements for the integration of knowledge, visualization and dis...
Processing and distribution of big space data still implies the treatment of massive and large-sized...
This paper presents the design and development of an interoperable geoportal service for discovery a...
Today, scientists use local and closed geospatial solutions to run their models and store their resu...
Abstract: Natural resources management policies often entail a complex environmental decision-making...
This paper presents the design and development of an interoperable geoportal service for discovery a...
Scientific data is being collected and maintained in dig-ital form in high volumes by many research ...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...