Leveraging Remote Sensing Indices for Hurricane-induced Vegetative Debris Assessment: A GIS-based Case Study for Hurricane Michael

Vegetative debris has been known to be one of the most significant causes of hurricane-induced damage on property and infrastructure such as roadways. Hurricane Michael (2018), for example, crushed the Florida’s Panhandle creating more than 16 million cubic yards of debris with very strong winds. As such, identification and collection of vegetative debris is an integral part of pre-hurricane planning and post-hurricane response. This study evaluates the volume of vegetative debris collected by the City of Tallahassee, Florida after Hurricane Michael at the U.S. Census block group level. This is conducted by utilizing remote sensing indices to generalize the vegetation and other land cover/use characteristics based on images taken before and after the hurricane. Four different regression models are developed and compared using these vegetation indices (VI) as well as other variables that represent the hurricane impact (maximum wind speeds and the distances to the hurricane track) and the socioeconomics of the population impacted (population, age, race and income). Findings suggest that vegetation and other land use characteristics had more impact on the hurricane-induced vegetative debris compared to other factors. This approach can help emergency responders locate areas that are prone to generate high amount of vegetative debris to be collected.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 24p

Subject/Index Terms

Filing Info

  • Accession Number: 01763815
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-04450
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:12AM