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Award Detail

Doing Business As Name:Florida International University
  • Naphtali D Rishe
  • (305) 348-2025
Award Date:09/13/2010
Estimated Total Award Amount: $ 200,000
Funds Obligated to Date: $ 248,000
  • FY 2011=$32,000
  • FY 2012=$16,000
  • FY 2010=$200,000
Start Date:09/15/2010
End Date:08/31/2013
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:RAPID: MRI: Development of Database Appliance Module for Multi-temporal Analysis and Correlation of Gulf Oil Spill Related Geospatial Data
Federal Award ID Number:1057661
DUNS ID:071298814
Parent DUNS ID:159621697
Program:Major Research Instrumentation
Program Officer:
  • Rita Rodriguez
  • (703) 292-8950

Awardee Location

Street:11200 SW 8TH ST
Awardee Cong. District:26

Primary Place of Performance

Organization Name:Florida International University
Street:11200 SW 8TH ST
Cong. District:26

Abstract at Time of Award

Proposal #: 10-57661 PI(s): Naphtali D Rishe Institution: Florida International University Title: RAPID: MRI: Development of Database Appliance Module for Multi-temporal Analysis and Correlation of Gulf Oil Spill Related Geospatial Data Project Proposed: This project, building an instrument that can analyze and correlate multi-temporal geospatial data, develops a new module working in conjunction with FIU?s TerraFly database appliance, with specific applicability to the study of coastal and near-coastal areas affected by the Gulf Oil Spill. The instrument will provide data analysis, definition, and visualization in combination with efficient algorithms. TerraFly is an FIU project with wide outreach and impact, where users visualize aerial imagery, precise street name overlays, and various other overlays. Users virtually "fly" over imagery via a web browser, without any software to install or plug in. Tools include user-friendly geospatial querying, interfaces with real-time data suppliers, demographic analysis, annotation, route dissemination via autopilots, and an application programming interface (API) for web sites (to name a few). Since the instrument can provide quick-response development of the tools, the project develops a unique module in TerraFly that can enable various studies of the coastal communities affected by the Gulf Oil Spill. Application examples range from environmental monitoring (such as analysis of water source availability by the USGS and water management districts) to questions of economic impact, such value of real estate in certain regions. The instrument under development enables multi-temporal geospatial data analysis and correlation, with a specific applicability to the study of coastal and near-coastal areas affected by the Gulf Oil Spill. This hardware-software appliance, enables access to algorithms and data that allow a variety of functions to be defined, analyzed and visualized by the instrument?s users. This Instrument, consisting of a module working in conjunction with FIU?s TerraFly database appliance, that enables 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. Hence, the instrument provides a platform for analysis of differences in imagery and vectors, to facilitate querying differences per location and to address a range of questions pertaining to the economic impact of the Gulf Oil Spill on coastal communities. The hardware aspects of the Instrument involve assembly and interconnection of a database machine from servers, mass storage units, and networking elements. The core of the Instrument is a software system running on the hardware platform. This is a Geospatial Database Management System to highly efficiently and reliably perform the functions enumerated above. The software system and the hardware elements together comprise a database appliance, i.e. a device accepting complex queries as input, rapidly evaluating said queries against massive data stored within the appliance, and emitting output streams for human consumption or for further machine processing. Thus, a smaller part of the work is assembling and interconnecting existing commodity hardware units into a new high-performance platform, while the bigger part of the work is software engineering effort to code, deploy, and calibrate the software system, as implementation of algorithms that have developed under non-MRI funding. Broader Impacts: Plans include having the data and graphic interface to queries, both user-definable and pre-defined, posted at In addition to research outcomes, this site will provide documentation relative to the project. The project enables and facilitates the access to the database and interfaces for all researchers and general public and also allows system-to-system XML access to all academic researchers to their GeoQuery system for the relevant Gulf Coast data.

Publications Produced as a Result of this Research

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Zolotov, S; Ben Yosef, D; Rishe, ND; Yesha, Y; Karnieli, E "Metabolic profiling in personalized medicine: bridging the gap between knowledge and clinical practice in Type 2 diabetes" PERSONALIZED MEDICINE, v.8, 2011, p.445. doi:10.2217/PME.11.3  View record at Web of Science

Project Outcomes Report


This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Disasters, such as the Gulf Oil Spill or hurricanes, cause severe social and economic damage. Their impact, greatly based on time and place, is difficult to analyze. A particular sector being affected is real estate. The resale value of properties in or near the damaged areas is greatly influenced by the effect of these disasters.

A critical capability for rapid response to a disaster involves being able to quickly provide updated information in a specified region. We have improved these capabilities relative to the Gulf Oil Spill by assembling and analyzing data and by developing and prototyping algorithms allowing a variety of key analysis functions to be defined, analyzed, and visualized.

The main goal of the project was to augment the TerraFly data analysis algorithms in order to support the analysis and visualization of this data, particularly regarding affected areas on or near the coast, and to improve longer-term impact analysis. The project also aimed at being able to analyze the effect of such disasters on the value of properties.

TerraFly is a Geographic Information System developed at Florida International University, currently serving worldwide web map requests over 125 countries and regions, providing customized aerial photography, satellite imagery, and layers of data including street names, restaurants, services, and demographic data. It is easy to use, with no installation required and no programming skills needed to run it, allowing users to visualize and manipulate spatial data with a few clicks and receive accurate results. The TerraFly Application Programming Interface allows production of interactive online applications and has been used to produce systems for disaster mitigation, ecology, real estate, tourism, and municipalities. TerraFly's Web-based interface is accessible from anywhere via any standard Web browser, with no client software to install. The system also supports the MapQL technology, a mechanism to easily visualize geographical data and analysis results that allows users to personalize the map visualizations using simple statements resembling the SQL database query language.

The TerraFly System was extended with new functions able to estimate the impact of events such as hurricanes and oil spills on real estate. The analysis of the disaster's impact can be carried out on the TerraFly GeoCloud online data analysis system. Users can use the data available in the system or upload their own data, edit it, perform analysis, and visualize as well as share the results.

The newly developed TerraFly algorithms enable users to analyze and visualize Disaster Impact on Property Values based on the address and factors including, among others, real estate type, disaster type, and time period. The Gulf Oil Spill as well as Hurricanes Andrew and Wilma were used as examples.

This project has provided new techniques for analyzing the economic impacts of disasters, and has impacted disaster mitigation research by providing effective and easy-to-use tools needed by disaster managers. The enabled research also benefits applications in environmental monitoring, transportation, education, public health and safety.

The research was implemented on top of the TerraFly platform and can be used as a resource by other researchers, professionals, and general public.

The interactive tools are accessible at and

Last Modified: 11/22/2013
Modified by: Naphtali D Rishe