NSF award 2537872 · ISEECHANGE, Inc.
SBIR Phase I: Deep Learning Framework for Mapping Flood Extent from Unstructured Photos
Final report due
30 April 2027
in 194 days · The award ends on 31 December 2026.
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Dates this award owes
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- Extension request16 Nov 2026in 29 days
award ending 2026-12-31 · Research.gov
- No-cost extension notice21 Dec 2026in 64 days
award ending 2026-12-31 · Research.gov
- Final report due30 Apr 2027in 194 days
award ending 2026-12-31 · Research.gov
- Project outcomes report due30 Apr 2027in 194 days
award ending 2026-12-31 · Research.gov
- Award is closed out30 Apr 2027in 194 days
award ending 2026-12-31 · Research.gov
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- NSF lists this award's end date as 31 December 2026.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 30 April 2027.
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Award card
- Award number
- 2537872
- Period of support
- 15 Jul 2026 – 31 Dec 2026
- Amount
- $304,018
- Awardee
- ISEECHANGE, Inc., NEW Orleans, LA
- Program
- SBIR Phase I
- Directorate
- TIP
Abstract
The broader/ commercial impact of this Small Business Innovation Research (SBIR) Phase I project is in helping communities handle floods better by turning public photos and videos into near-real-time useful data. Currently, it is difficult to get a clear picture during emergencies because sensors and satellites are often too far away or field surveys are too expensive. This system uses smartphone images to create…
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