Geospatial analytics of Hurricane Florence flooding effects using overhead imagery

Mark W. Roberson; Abigail E. Bell; Laura E. Roberson; Taylor A. Walker

doi:10.1117/12.2519242

13 May 2019 Geospatial analytics of Hurricane Florence flooding effects using overhead imagery

Mark W. Roberson, Abigail E. Bell, Laura E. Roberson, Taylor A. Walker

Proceedings Volume 10992, Geospatial Informatics IX; 1099208 (2019) https://doi.org/10.1117/12.2519242
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Citation Download Citation

Mark W. Roberson, Abigail E. Bell, Laura E. Roberson, and Taylor A. Walker "Geospatial analytics of Hurricane Florence flooding effects using overhead imagery", Proc. SPIE 10992, Geospatial Informatics IX, 1099208 (13 May 2019); https://doi.org/10.1117/12.2519242

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