Hurricane disturbance mapping using MODIS EVI data in the southeastern Yucatán, Mexico

John Rogan, Laura Schneider, Zachary Christman, Marco Millones, Deborah Lawrence, Birgit Schmook

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

This letter evaluated the use of Moderate Resolution Imaging Spectroradiometer (MODIS) 250 mEnhanced Vegetation Index (EVI) standard product data (MOD/MYD13Q1 C5) to map the damage caused by Hurricane Dean (August 2007) to the forests in the Yucatán Peninsula of Mexico using a two-step vetting procedure. Sequences of MODIS EVI 16-day composite products captured before and after the hurricane were compared against 93 field damage plots to select an appropriate set of pre- and post-damage data. Aqua pairwise combinations produced the highest damage detection overall accuracy compared with Terra (82.4% vs. 73.8%, respectively) because of advantageous timing of the Aqua EVI compositing, relative to the hurricane event. The most accurate EVI damage map (91.4% overall) revealed highest damage > detection in Saffir-Simpson hurricane wind scale zone 5 (i.e. wind speed .248 km h -1, i.e. 95%), followed by 93% in zone 4 (210-249 km h-1) and 87% in zone 3 (178-209 km h-1). Results indicate that MODIS EVI products provide timely and accurate maps of hurricane damage in subtropical forests.

Original languageEnglish (US)
Pages (from-to)259-267
Number of pages9
JournalRemote Sensing Letters
Volume2
Issue number3
DOIs
StatePublished - Sep 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences (miscellaneous)
  • Electrical and Electronic Engineering

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