Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization
Loading...
Date
2015-08-28
Authors
Zhang, Kongwen
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
Remote sensing, Forestry