Results 271 to 280 of about 70,330 (312)
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An authorization model for geospatial data
IEEE Transactions on Dependable and Secure Computing, 2004The advent of commercial observation satellites in the new millennium provides unprecedented access to timely information, as they produce images of the Earth with the sharpness and quality previously available only from US, Russian, and French military satellites. Due to the fact that they are commercial in nature, a broad range of government agencies
Vijayalakshmi Atluri, Soon Ae Chun
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Geospatial data and server on USB
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010Individuals along the Gulf of Mexico search for information to make decisions during hurricane preparation or evacuations. Some data that is necessary for decision making is static in content, but must be harvested from the web. If a web connection is not available, then the individual is unable to acquire key information such as evacuation routes ...
Stacey D. Lyle +2 more
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Contextual encoding of geospatial data
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009Contextual encoding represents information using data attributes that collectively form context. In case of geospatial data, these attributes may include color, texture, and structure attributes of geospatial entities. This paper introduces the paradigm of contextual encoding. It then presents algorithms for generating contextual encoding of geospatial
Pragyana Mishra, Nagendra Kolluru
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Granularity of geospatial data provenance
2014 IEEE Geoscience and Remote Sensing Symposium, 2014Provenance, the lineage of data products, has been identified as a basic research issue in distributed data and information infrastructures. Provenance could be captured at different levels of granularity. This paper investigates the granularity of provenance for both vector and raster data.
Peng Yue 0002 +3 more
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Towards a Geospatial Big Data Platform for Geospatial Information Services
2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2019In the big data era, there are various geospatial data and processing algorithms that can be available and accessible on the Web. It is often necessary to access all these resources using standardized interfaces and services, and build an integrated platform with capabilities of geospatial big data management and processing.
Boyi Shangguan +3 more
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Generating and reintegrating geospatial data
Proceedings of the fifth ACM conference on Digital libraries, 2000The process of building a geospatial component to access existing materials in the Perseus Digital Library has raised interesting questions about the interaction between historical and geospatial data. The traditional methods of describing geographic features' names and locations do not provide a complete solution for historical data such as that in ...
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A Geospatial Data and Model Hub for Online Geospatial Analysis
2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2023Haipeng Deng +5 more
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ISPRS Journal of Photogrammetry and Remote Sensing, 2010
Abstract In this paper we review recent developments of crowdsourcing geospatial data. While traditional mapping is nearly exclusively coordinated and often also carried out by large organisations, crowdsourcing geospatial data refers to generating a map using informal social networks and web 2.0 technology.
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Abstract In this paper we review recent developments of crowdsourcing geospatial data. While traditional mapping is nearly exclusively coordinated and often also carried out by large organisations, crowdsourcing geospatial data refers to generating a map using informal social networks and web 2.0 technology.
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2023
Geospatial data is described by its location on the Earth. There are many sources of geospatial data (e.g., remote sensing, point cloud data, LiDAR, GPS, Internet, IoT, etc.) that are acquired at different resolutions and characteristics. Two broad categories are raster data and vector data.
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Geospatial data is described by its location on the Earth. There are many sources of geospatial data (e.g., remote sensing, point cloud data, LiDAR, GPS, Internet, IoT, etc.) that are acquired at different resolutions and characteristics. Two broad categories are raster data and vector data.
openaire +1 more source