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Geospatial analytics of Hurricane Florence flooding effects using overhead imagery
Author(s): Mark W. Roberson; Abigail E. Bell; Laura E. Roberson; Taylor A. Walker
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Paper Abstract

In September 2018, Hurricane Florence struck the southeastern United States, depositing an estimated ten trillion gallons of water on the states of North Carolina and South Carolina. The resulting floodwaters caused the loss of human lives and inflicted tremendous economic costs upon the states. The flooding was particularly damaging to both livestock and crops, and due to the importance of agriculture to the economy of North Carolina, this damage is of special concern. Overhead sensing modalities, including synthetic aperture radar (SAR) and optical imagery, provide tools to study the affected regions using time-varying geospatial analytics. We discuss our work with the analysis of floodwaters related to livestock waste waters and to crop health. We discuss several collection platforms as well as the sensor geometries in order to discuss the performance trade-offs. We process overhead data sets to analyze the floodwater surface areas and normalized differential vegetation index (NDVI) before and after the time of the hurricane to understand the effects of the storm as it relates to agriculture in North Carolina.

Paper Details

Date Published: 13 May 2019
PDF: 13 pages
Proc. SPIE 10992, Geospatial Informatics IX, 1099208 (13 May 2019); doi: 10.1117/12.2519242
Show Author Affiliations
Mark W. Roberson, Goldfinch Sensor Technologies and Analytics LLC (United States)
Abigail E. Bell, Goldfinch Sensor Technologies and Analytics LLC (United States)
Laura E. Roberson, Goldfinch Sensor Technologies and Analytics LLC (United States)
Taylor A. Walker, Goldfinch Sensor Technologies and Analytics LLC (United States)


Published in SPIE Proceedings Vol. 10992:
Geospatial Informatics IX
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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