Hu, Baoxin2015-08-282015-08-282014-08-222015-08-28http://hdl.handle.net/10315/29915This 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.enAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Remote sensingForestryElectronic Thesis or Dissertation2015-08-28Remote SensingHyperspectralHigh spatial resolution imagery