Systems and methods to generate high resolution flood maps in near real time
AssigneeUniversity of Connecticut
InventorsXinyi Shen, Emmanouil Anagnostou, Qing Yang
Life of this patent
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Abstract
A system and method to generate flood inundation maps in near real time. The system includes a plurality of computer processing modules: a flood trigger system, a SAR data query system, and a RAPID kernel algorithm system, running in real time, to identify the potential flood zones, query SAR data, and finally compute the inundation maps, respectively. As disclosed herein, the RAPID kernel algorithm is extended to a fully automated flood mapping system that requires no human interference from the initial flood events discovery to the final flood map production.
Claims18
A system to generate a flood inundation map, the system comprising:
- a flood trigger system configured to identify a flood occurring zone having one or more bodies of water;
- a SAR data query system to identify relevant satellite images for the flood occurring zones;
- and
- a kernel algorithm system including an electronic processor configured to
- receive the data from the flood trigger system,
- receive the satellite images from the SAR data query system,
- generate a binary classification of water and non-water at pixel level of the satellite images,
- morphologically process the satellite images to reduce over-detection of the bodies of water and to reduce under-detection of the bodies of water,
- apply a multi-threshold compensation to reduce speckle noise in the bodies of water,
- apply machine learning-based correction for speckle, and
- generate a flood inundation map.
A method of generating a flood inundation map in near real time, the method comprising:
- identifying, with an electronic processor, a flood event;
- retrieving, with an electronic processor, a plurality of satellite images of an area defined by the flood event;
- and
- receiving, by a kernel algorithm system, the satellite images, the kernel algorithm system configured to
- apply a water identifier or a non-water identifier for each of the pixels in the satellite images,
- morphologically process the satellite images to reduce over-detection of the bodies of water and to reduce under-detection of the bodies of water,
- apply a multi-threshold compensation to reduce speckle noise in the bodies of water,
- apply machine learning-based correction for speckle, and
- generate a flood inundation map.
Dependencies are inferred from the claim text.