Modeling Live Fuel Moisture with MODIS Satellite Data (Los Angeles County, California USA)

Whitney, Kristen; Kim, Seung-Hee

doi:10.6084/m9.figshare.8944664.v1

kwhitney_poster_ESIP2019.pptx (19.85 MB)

Modeling Live Fuel Moisture with MODIS Satellite Data (Los Angeles County, California USA)

poster

posted on 2019-07-23, 19:58 authored by Kristen Whitney, Seung-Hee Kim

Live Fuel Moisture (LFM) collected by fire agencies to assess wildfire risk was modeled using Vegetation Indices (VI) calculated with remotely sensed MODIS dataset. This poster was presented in July 2019 at the Earth Science Information Partners (ESIP) Summer Meeting held in Tacoma Washington.

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Remote Sensing Live Fuel Moisture wildfire risk vegetation characteristics ESIP Summer 2019 Natural Hazards

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CC BY 4.0

Modeling Live Fuel Moisture with MODIS Satellite Data (Los Angeles County, California USA)

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