Mapping the history of environmental impacts of land-falling hurricanes in the Southeastern United States - A demonstration for Isabel

Julien Brun, Ana P. Barros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of our research is to develop a framework to perform a systematic and comprehensive analysis of Land Use, Land Cover (LULC) change along the historical record of the terrestrial tracks of hurricanes and tropical storms since the beginning of the earth observation satellite era. Here we present a phenological disturbance filter based on MODIS vegetation indices to detect and characterize the impact of hurricane Isabel, which made landfall on the Outer Banks in North Carolina on 18th September 2003. The results show that woody wetland areas have a pronounced and localized decrease in phenological activity in the two following years, likely due to the disturbance created by flooding, erosion and wind damage. At the regional scale, we identify a relationship between vegetation stressmeasured by the persistence of below average EVI anomalies, and the frequency of hurricane and tropical storm in the coastal plain of North Carolina. This analysis also shows a direct link between hurricanes and tropical storms (TS) and drought relief in this region.

Original languageEnglish (US)
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PagesIV355-IV358
Edition1
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: Jul 6 2008Jul 11 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume4

Other

Other2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/TerritoryUnited States
CityBoston, MA
Period7/6/087/11/08

Keywords

  • Drought
  • Hurricane
  • Land cover
  • MODIS
  • Vegetation index

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

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