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NA24OARX021G0015

Project Grant

Overview

Grant Description
Purpose: Visimo proposes a feasibility study for the development of FloodWise, an AI decision-support tool that will enable professionals to effectively prepare, adapt, and respond to flooding events.

FloodWise will autonomously scrape and geotag social media images of flooding events to produce flood depth estimation maps in real time.

Visimo will create a custom algorithm that will geotag social media images and videos in the absence of EXIF data.

Unlike current models, Visimo's model will pinpoint image locations with latitude/longitude coordinates, accurate to 20 meters, within narrow regions.

Visimo will seek to enhance and refine the custom flood depth estimation algorithm utilized in the BLUPIX flood response app.

The BLUPIX model is not fully automated, and only estimates water depth using stop signs; Visimo will expand this algorithm to apply to additional objects and process images containing reflections accurately.

Visimo's study will determine (1) the ability to autonomously geotag social media data; (2) the expansion and refinement of the BLUPIX flood depth estimation algorithm; and (3) the overall feasibility of the proposed final architecture.

Visimo will produce a demonstration that will show, for five locations, the pipeline's ability to accurately geotag social media images and videos as new observations for actionable flood intelligence.

End users such as Federal Emergency Management Agency (FEMA) Federal Coordinating Officers, National Guard Emergency Management Officers, emergency management professionals in state and local departments of public safety and emergency management, geospatial information analysis, and geospatial intelligence (GEOINT) analysts may use Visimo's tool to (1) respond to flooding in real-time using Visimo's mobile app; (2) prepare optimally for future events using historic data saved within the app to visualize how flooding impacted their region during similar events; and (3) adapt to future flooding events using our tool's historic data to inform potential adaptation strategies, such as improving aging water infrastructure, modifying land use, and repairing and retrofitting facilities.

FloodWise will include a voice activation feature for hands-free manipulation.

Through geotagging social media images and videos, FloodWise will create an entirely new data source from previously unusable content.

Datasets produced by the tool may also serve as potential sources of input data for physically based water modeling tools and fully coupled earth models to increase the accuracy of water modeling.

Visimo's custom geotagging model may also be modified and trained for further use cases, including geotagging social media images and videos for disease spread monitoring, urban planning, and natural disaster response and mitigation.
Awardee
Funding Goals
18 CLIMATE ADAPTATION AND MITIGATION 19 WEATHER-READY NATION 20 HEALTHY OCEANS 21 RESILIENT COASTAL COMMUNITIES AND ECONOMIES
Place of Performance
Carnegie, Pennsylvania 151062051 United States
Geographic Scope
Single Zip Code
Visimo was awarded Project Grant NA24OARX021G0015 worth $174,747 from National Oceanic and Atmospheric Administration in August 2024 with work to be completed primarily in Carnegie Pennsylvania United States. The grant has a duration of 5 months and was awarded through assistance program 11.021 NOAA Small Business Innovation Research (SBIR) Program. The Project Grant was awarded through grant opportunity NOAA SBIR FY 2024 Phase I.

SBIR Details

Research Type
SBIR Phase I
Title
FloodWise: Autonomous Geotagging for Disaster Response
Abstract
VISIMO proposes a feasibility study for the development of FloodWise, an AI decision-support tool that will enable professionals to effectively prepare, adapt, and respond to flooding events. FloodWise will autonomously scrape and geotag social media images of flooding events to produce flood depth estimation maps in real time. VISIMO will create a custom algorithm that will geotag social media images and videos in the absence of Exif data. Unlike current models, VISIMO’s model will pinpoint image locations with latitude/longitude coordinates, accurate to 20 meters, within narrow regions. VISIMO will seek to enhance and refine the custom flood depth estimation algorithm utilized in the BluPix flood response app. The BluPix model is not fully automated, and only estimates water depth using stop signs; VISIMO will expand this algorithm to apply to additional objects and process images containing reflections accurately. VISIMO’s study will determine (1) the ability to autonomously geotag social media data; (2) the expansion and refinement of the BluPix flood depth estimation algorithm; and (3) the overall feasibility of the proposed final architecture. VISIMO will produce a demonstration that will show, for five locations, the pipeline’s ability to accurately geotag social media images and videos as new observations for actionable flood intelligence.
Topic Code
9.4
Solicitation Number
NOAA-OAR-TPO-2024-2008184

Status
(Complete)

Last Modified 2/19/25

Period of Performance
8/1/24
Start Date
1/31/25
End Date
100% Complete

Funding Split
$174.7K
Federal Obligation
$0.0
Non-Federal Obligation
$174.7K
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to NA24OARX021G0015

Transaction History

Modifications to NA24OARX021G0015

Additional Detail

Award ID FAIN
NA24OARX021G0015
SAI Number
NA24OARX021G0015-002
Award ID URI
None
Awardee Classifications
Small Business
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
X854ZJDHWHJ5
Awardee CAGE
8DR24
Performance District
PA-17
Senators
Robert Casey
John Fetterman
Modified: 2/19/25