{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/29915"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/29915","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Zhang, Kongwen"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Hu, Baoxin"],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-08-28","date_published":"2015-08-28","updated_at":"2026-07-24T06:34:00Z","subjects":["Remote sensing","Forestry"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. 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