Remote sensing vegetation recovery after forest fires using energy balance algorithm

J. Wang, T. W. Sammis, C. A. Meier, L. J. Simmons, D. R. Miller, D. J. Bathke

Research output: Contribution to conferencePaper

Abstract

Information on the temporal and spatial dynamics of post-fire vegetation recovery and water use is essential for establishing post-fire vegetation management and for evaluating reforestation programs to reduce the risk of landslides and soil erosion after forest fires. Remote sensing techniques have been increasingly used as a convenient tool for monitoring vegetation cover and water stress. Commonly used techniques include spectral analysis, such as the Normalized Vegetation Index (NDVI). However, the accuracy of the spectral analysis can be significantly affected by the illumination geometry and the optical properties of the soil background. Furthermore, spectral analysis can not estimate absolute water use of plants. Alternatively, satellite derived estimates of spatial evapotranspiration (ET) computed using a Surface Energy Balance Algorithm for Land (SEBAL

Original languageEnglish (US)
Pages203-213
Number of pages11
StatePublished - Dec 1 2005
EventJoint Meeting of the Sixth Symposium on FIre and Forest Meteorology and the 19th Interior West Fire Council Meeting - Canmore, AB, Canada
Duration: Oct 25 2005Oct 27 2005

Other

OtherJoint Meeting of the Sixth Symposium on FIre and Forest Meteorology and the 19th Interior West Fire Council Meeting
CountryCanada
CityCanmore, AB
Period10/25/0510/27/05

ASJC Scopus subject areas

  • Engineering(all)

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    Wang, J., Sammis, T. W., Meier, C. A., Simmons, L. J., Miller, D. R., & Bathke, D. J. (2005). Remote sensing vegetation recovery after forest fires using energy balance algorithm. 203-213. Paper presented at Joint Meeting of the Sixth Symposium on FIre and Forest Meteorology and the 19th Interior West Fire Council Meeting, Canmore, AB, Canada.