III: Gulf RAPID: Multi-temporal analysis and correlation of Gulf Oil Spill Related Geospatial Data on TerraFly Platform

III：Gulf RAPID：TerraFly平台上海湾溢油相关地理空间数据的多时相分析与关联

• 批准号: 1052625
• 负责人: Naphtali Rishe
• 金额: $ 11.36万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1052625&HistoricalAwards=false
• 关键词: III; Gulf; RAPID; Multi; temporal

Florida International University is augmenting its TerraFly technology by adding support of visualization of scientific measurement aggregation through space and time with a specific applicability to the coastal and near-coastal areas affected by the Gulf Oil Spill. FIU is assembling data, developing and prototyping algorithms and to support specification of special-purpose functions, data analysis, visualization, and knowledge discovery.This project deals with a severe urgency with regard to availability of, and access to, data and involves quick-response research on the economic impact of the Gulf Oil Spill on coastal communities. New forms of analytical queries needs to be efficiently supported. For example, an insurance company may need to have the following complex query answered: "For any given property, in aggregate for areas, find the value decrease impact that the oil spill had on the property or properties; by correlation of value changes in Florida Panhandle to percentage change of similarly zoned properties elsewhere, adjusted for similar land use (zoning), property size, distance to Water, and near-coastal and coastal oil contamination". The algorithms and prototype system being developed enable the temporal querying, cross-referencing, visualization, and analysis of geospatial data, including time series multi-temporal aerial imagery, multi-temporal measurement and economic data, and vast existing static geospatial databases. This research enables analysis of differences in imagery and vectors, allows querying differences per location, and the posing of a range of questions pertaining to the economic impact of the Gulf Oil Spill on coastal communities. Results of this RAPID project will allow researchers, stakeholders, and the general public to access, query and analyze relevant databases via flexible graphic interfaces. FIU and extramural researchers will have access to multi-temporal high-resolution imagery and vector data. A system-to-system XML access will enable all academic researchers to use the project's GeoQuery system. The project's data and graphic interface to queries, both user-definable and pre-defined, will be accessible via the project web site (http://terrafly.fiu.edu/r.htm).

佛罗里达国际大学正在增强其TerraFly技术，增加对空间和时间科学测量聚合可视化的支持，特别适用于受海湾漏油影响的沿海和近沿海地区。金融情报室正在收集数据，开发算法并制作原型，以支持特殊用途功能的规格说明、数据分析、可视化和知识发现，该项目涉及数据的提供和获取方面的紧迫问题，并涉及对海湾石油泄漏对沿海社区的经济影响进行快速反应研究。 需要有效地支持新形式的分析查询。例如，保险公司可能需要回答以下复杂的查询：“对于任何给定的财产，在区域的集合中，找到石油泄漏对财产或财产的价值减少影响;通过将佛罗里达狭长地带的价值变化与其他地方类似分区财产的百分比变化相关联，针对类似的土地使用（分区）、财产规模、到水的距离进行调整，以及近海和沿海石油污染”。正在开发的算法和原型系统，使时间查询，交叉引用，可视化和分析的地理空间数据，包括时间序列多时航空影像，多时测量和经济数据，以及庞大的现有静态地理空间数据库。这项研究可以分析图像和矢量的差异，允许查询每个位置的差异，并提出一系列有关海湾漏油对沿海社区的经济影响的问题。 RAPID项目的成果将使研究人员、利益相关者和公众能够通过灵活的图形界面访问、查询和分析相关数据库。金融情报室和校外研究人员将能够获得多时高分辨率图像和矢量数据。系统到系统的XML访问将使所有学术研究人员能够使用该项目的GeoQuery系统。该项目的数据和查询的图形界面，无论是用户定义的还是预定义的，都将通过项目网站（http：//terrafly.fiu.edu/r.htm）提供。