Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach

International Journal of Applied Earth Observation and Geoinformation

Volumn 50, Issue , 2016, Pages 187-197

  Pham, Lien T H ^a,b   Brabyn, Lars ^a   Ashraf, Salman ^c  

^a UNIVERSITY OF WAIKATO   (New Zealand)

^b UNIVERSITY OF NATURAL SCIENCES   (Viet Nam)

^c GNS SCIENCE   (New Zealand)

Author keywords

LiDAR; Object based classification; Pohutukawa; QuickBird; Random forest; Support vector machine

Indexed keywords

DATA SET; GIS; IMAGE CLASSIFICATION; LIDAR; NATIVE SPECIES; QUICKBIRD; SUPPORT VECTOR MACHINE; TOPOGRAPHY;

NEW ZEALAND;

EID: 85016473607     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2016.03.015     Document Type: Article

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