The amount of remote sensing (RS) data has increased at an unexpected scale, due to the rapid progress of earth-observation and the growth of satellite RS and sensor technologies. Traditional ...relational databases attend their limit to meet the needs of high-resolution and large-scale RS Big Data management. As a result, massive RS data management is currently one of the most imperative topics. To address this problem, this paper describes a distributed architecture for big RS data storage based on a unified metadata file, pyramid model, and Hilbert curve for data composition and indexing using NoSQL databases (i.e, Apache Hbase). In this paper, a Hadoop-based framework in AzureInsight cloud platform is designed to manage massive RS data in a parallel and distributed way. Experimental results prove that our method has the potential to overcome the weakness of traditional methods. The proposed model is suitable for massive high-resolution image data management.
The application requirement of Geospatial data is increasing and complex as it is getting numerous as a result of furthering study on geosciences. Based on a deeply research on Oracle Spatial storage ...management mechanism, this paper proposed a method that applies the graph theory to domain of optimizing spatial query of massive geographical data, and established a geospatial data query model in order to settle a problem of lower spatial query efficiency in geospatial database. Combining with the practical applications, this paper did a conventional spatial query test and a spatial query based on geospatial data model respectively. The result is that the spatial query based on geospatial data query model has a better efficiency than that on conventional method. Besides, this model can greatly improve the spatial query performance and this improvement will be increasingly apparent as the data volume increases.
As crises happen more frequently and in bigger magnitudes in urban communities, disaster prevention and disaster mitigation become increasingly more important. One useful preventive measure is for ...community members to report relevant risk information before an actual crisis occurs. This paper presents a Public Participation GIS (PPGIS) system called Collaborative Risk Map System (CRMS), which is community based and through which local residents can report risk information of crisis events and share the information in disaster mitigation. Although the Internet and mobile phones are the preferred methods for public participation due to their convenience and ease of use, the feedback information needs to be filtered before usage, so we designed a credibility model to filter out the mendacious information. A risk model of crisis events is also proposed which transformed the static pre-planning to dynamic and timely risk map as a result of public participation. The risk state of the community and reliable risk feedback is displayed on the map using Oracle Spatial technology so that public can see the risk information visually. Through the analysis of risk information, the community can directly access reliable risk information easily and can prepare for it immediately. Most importantly, decision-makers can get the most up-to-date risk information and do more accurate risk analysis so as to make better informed decisions. We demonstrate the prototype system by selecting 20 places to be a community in Chengguan district in Lanzhou, the capital city in Gansu Province, China and selecting fire risk to evaluate its effectiveness and efficiency.
As crises happen more frequently and in bigger magnitudes in urban communities, disaster prevention and disaster mitigation become increasingly more important. One useful preventive measure is for ...community members to report relevant risk information before an actual crisis occurs. This paper presents a Public Participation GIS (PPGIS) system called Collaborative Risk Map System (CRMS), which is community based and through which local residents can report risk information of crisis events and share the information in disaster mitigation. Although the Internet and mobile phones are the preferred methods for public participation due to their convenience and ease of use, the feedback information needs to be filtered before usage, so we designed a credibility model to filter out the mendacious information. A risk model of crisis events is also proposed which transformed the static pre-planning to dynamic and timely risk map as a result of public participation. The risk state of the community and reliable risk feedback is displayed on the map using Oracle Spatial technology so that public can see the risk information visually. Through the analysis of risk information, the community can directly access reliable risk information easily and can prepare for it immediately. Most importantly, decision-makers can get the most up-to-date risk information and do more accurate risk analysis so as to make better informed decisions. We demonstrate the prototype system by selecting 20 places to be a community in Chengguan district in Lanzhou, the capital city in Gansu Province, China and selecting fire risk to evaluate its effectiveness and efficiency.
The putting forward of Georaster brings a new opportunity for realizing integrated storage of raster data and vector data in Oracle Spatial . This paper analyzed raster images storage and management ...mechanisms using Georaster model of Oracle spatial, including GeoRester data model,physical storage structure, data block and pyramid strategy. On this basis, the paper demonstrated a typical example of storing and managing raster image data. Through a large number of experiments, the paper pointed out that the Oracle's raster image data loading tool cannot upload large capacity raster image. Aiming at the disadvantage in terms of data capacity, the paper presented a simple yet effective solution, which adopts block processing way, is consistent with "divide and conquer idea, can improve data processing and network transmission speed.
Database systems are continuously extending their capabilities to store, process and analyse 3D data. Topological relationships which describe the interaction of objects in space is one of the ...important spatial issues. However, spatial operators for 3D objects are still insufficient. In this paper we present the development of a new 3D topological function to distinguish intersections of 3D planar polygons. The development uses existing 2D functions in the DBMS and two geometric transformations (rotation and projection). This function is tested for a real dataset to detect overlapping 3D city objects. The paper presents the algorithms and analyses the challenges. Suggestions for improvements of the current algorithm as well as possible extensions to handle more 3D topological cases are discussed at the end.
This paper presents raster and vector GIS files and the Oracle Spatial database object. The application is made in Java and this paper presents the algorithms for the import, export of raster/vector ...GIS files and also the conversion of raster to vector and vector to raster data. Key words: Oracle Spatial, database, GIS, raster, vector
The Semantic Web has reached a level of maturity that allows RDF and OWL to be adopted by commercial software vendors. Products that incorporate these standards are being used to help provide ...solutions to the increasingly complex IT challenges that many industries face. Standardization efforts for the Semantic Web have progressed to the point where efforts are starting in the integration of ontologies and rules. This paper showcases the implementation of a Semantic Web rulebase in Oracle Database 10g, and provides examples of its use within drug discovery and development. A more detailed paper is currently being prepared with Dr. Said Tabet of the RuleML initiative where a more detailed design and specification is provided explaining the
This paper discusses the challenges faced by large engineering firms in organizing and analyzing vast amounts of diverse geospatial data to support complex engineering projects worldwide. For ...Bechtel, the implementation of an enterprise GIS has greatly facilitated spatial data sharing and utilization, but has required much forethought and planning in the architectural design, standards and tools required to deploy and maintain such information in a global work environment. With the GIS technical discipline and spatial data being a relatively new centralized resource within the company, and given the great variety of CAD, GIS and other data sources and formats that are involved in supporting Bechtel projects in its five global business units (GBUs), the issues of data interoperability, data model standardization, reliability, security, and scalability continue to be central to the implementation and deployment strategies being adopted for the company. Data originating from government agencies, GIS vendors, clients, subcontractors, and different disciplines within the company come in a variety of data formats, ranging from hand drawings, text files, emails, spreadsheets, database files, AutoCAD and MicroStation CAD drawings, Maplnfo files, ESRI shapefiles or geodatabases. Standardized GIS desktop procedures have been developed and are then used to diligently catalog, verify, geo-reference, and load these datasets into a central Oracle spatial database conforming to the spatial data standards for facilities, infrastructure, and environment (SDSFIE) data model. GIS layer and feature-level metadata is then prepared and loaded into the system to document the pedigree, data source, purpose, publication or revision date, access and use restrictions, and project of each dataset. A Web service-oriented, component-based, multi-tier application development framework was developed to provide a foundation for enterprise-level GIS application development.
One can easily use nineteenth-century tithe data of England and Wales in a Geographic Information System (GIS) to analyze a range of subjects, for example, land use, productivity, land ownership, or ...tenancy. Making the tithe data GIS ready, on the other hand, is a nontrivial matter. The tithe data consist of two main types: spatial, that is, the tithe map, and nonspatial attribute data linked to the map. The tithe therefore has the characteristics of a GIS, albeit in paper form. The author outlines the process of creating the structures for building a data repository that allows the storage and dissemination of both tithe schedules and maps in a single GIS-ready system. The author chose Oracle to host the repository. The Oracle Spatial module allows storage of both spatial and attribute information. Oracle also provides the means of serving data to users via the Internet.
PDF
