Satellite sensing can be useful in flooded areas

A new study by a professor at the Florida Institute of Technology may improve understanding of how the area will be affected after the flood.

Efthymios Nikolopoulos, Associate Professor of Mechanical and Civil Engineering, is working on a project funded by the National Oceanic and Atmospheric Administration (NOAA) that deals with the use of satellite remote sensing to map flood inundation. This includes satellite-based sensors analyzed by postdoctoral researcher Emmanuel Story to identify flooded areas that have been algorithmically validated through available field observations and high-resolution optical images from small commercial satellites.

The team is currently investigating previous flood events such as the floods that occurred on the Alabama and Florida Perdido rivers during the 2020 hurricane sari and the flash floods in Nashville on March 29. And the company was destroyed.

Initial findings have not yet been determined, but the team has already developed a prototype algorithm to improve flood estimation under the vegetation canopy. However, there were issues such as cloud cover affecting satellite-based sensors. The team plans to avoid this by looking at other available sensors that are unaffected by cloud obstruction. Nikolopoulos said the plan is to implement them later this year.

Satellite-based flood inundation maps not only help researchers understand how areas are affected by floods, but also cause floods that can affect meteorological organizations such as the NOAA and the National Weather Service. Provides better insights into easy areas. Not only the building sector.

“It’s another thing to say that a particular river flows at 1,000 cubic feet per second and tells us that this distance adjacent to the river will cause floods of up to 1 meter,” said Nikolopoulos. “Translating from one to the other is not as easy as it sounds. We support the development of these models through remote sensing observations because we need models and they have errors.”

The interdisciplinary project was satisfying for Nikolopoulos. This study provides a scientific opportunity to better understand flood dynamics through remote sensing, while at the same time providing an immediate application that enables rapid response to local officials on his engineering background. I’m talking.

In the future, Nikolopoulos wants to advance the current algorithms used to estimate flood inundation to better understand where satellites perform best with respect to the acquisition of this data. Nikolopoulos also confirms that machine learning and artificial intelligence are improving flood inundation estimation research on a global scale.

“I’m really looking forward to how much we can get from these sensors. I’m very optimistic about it,” he said. “I think this is just the beginning of a very promising series of studies and work.”

Satellite sensing can be useful in flooded areas

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