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Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization

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Zhang_Kongwen_2014_Phd.pdf (22.10Mb)
Date
2015-08-28
Author
Zhang, Kongwen

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Abstract
This dissertation describes three contributions in the characterization of vegetation canopies using remote sensing data, with a focus on hyperspectral and very high spatial resolution imagery. The new and innovative methods developed are: 1) integration of contribution theory into a model inversion approach to obtain high accuracy in canopy biophysical parameter estimation; 2) exploration and adoption of tree crown longitudinal profiles to achieve high accuracy in tree species classification; and 3)
evaluation of canopy health state for Emerald Ash Borer (EAB) infestation assessment by intelligent combination of multi-sourced data.
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http://hdl.handle.net/10315/29915
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  • Earth & Space Science

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