Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest

Remote Sensing of Environment

Volumn 187, Issue , 2016, Pages 202-217

  Shendryk, Iurii ^a   Broich, Mark ^a   Tulbure, Mirela G ^a   McGrath, Andrew ^b   Keith, David ^a,c   Alexandrov, Sergey V ^d  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b FLINDERS UNIVERSITY   (Australia)

^c OFFICE OF ENVIRONMENT AND HERITAGE   (Australia)

^d VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Airborne laser scanning; Australia; Dieback; Eucalypt; Flooding frequency; Imaging spectroscopy; Individual trees; Object oriented classification; Random forest; River red gum; Tree health

Indexed keywords

ARTIFICIAL INTELLIGENCE; BANKS (BODIES OF WATER); BIODIVERSITY; CARBON; DECISION TREES; DIGITAL STORAGE; FLOODS; HEALTH; LASER APPLICATIONS; LEARNING SYSTEMS; REMOTE SENSING; SOIL CONSERVATION; SURFACE ANALYSIS; TRANSPARENCY;

AIRBORNE LASER SCANNING; AUSTRALIA; DIEBACK; EUCALYPT; IMAGING SPECTROSCOPY; INDIVIDUAL TREE; OBJECT ORIENTED CLASSIFICATION; RANDOM FORESTS; RIVER RED GUMS; TREE HEALTH;

FORESTRY;

AIRBORNE SENSING; ALGORITHM; BIODIVERSITY; CANOPY ARCHITECTURE; CLASSIFICATION; DIEBACK; ECOSYSTEM FUNCTION; ENVIRONMENTAL MONITORING; EVERGREEN TREE; FLOOD FREQUENCY; FLOODPLAIN FOREST; FOREST HEALTH; LASER METHOD; MAPPING; NUMERICAL METHOD;

EID: 84992708786     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.10.014     Document Type: Article

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