Wednesday 22 April 20091-2pm, in Fenner School's Forestry Lecture TheatreAdvanced Analysis of Vegetation Using Imaging SpectrometryProfessor Dar Roberts, Department of Geography, U.C. Santa Barbara
AbstractImaging spectrometers acquire reflected or emitted radiance in a large number of contiguous wavelengths. Most commercial and public imaging spectrometers sample electromagnetic radiation between 350 and 2500 nm, covering the visible, near-infrared (VNIR) and short-wave infrared (SWIR) portions of the spectrum. This spectral region provides detailed spectroscopic information critical for improved atmospheric correction and reflectance retrievals required for monitoring surface changes. Furthermore, the VNIR-SWIR provides numerous diagnostic spectroscopic features required to identify material chemistry in solid, liquid and vapor phases. Examples include important plant bio-chemicals, including plant pigments, water and structural compounds such as lignin and cellulose. At the canopy and landscape scales, imaging spectrometers provide improved biophysical measures including leaf area index, plant composition and cover. To the extent to which plant species have unique biochemical and structural properties, and thus unique spectra, these can be used to map species using imaging spectrometry. In this talk, I provide an overview of research using the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) to retrieve important biophysical properties, monitor plant stress and identify vegetation species. I start with a general discussion of atmospheric correction and reflectance retrievals. Next, I discuss the use of AVIRIS to map canopy water, estimate leaf area index and map plant stress using narrow-band spectral indices. I follow with examples using AVIRIS to map plant species in several ecosystems. I conclude with a discussion of the potential of proposed future space-borne imaging sensors. Bio
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