Identification of understory invasive exotic plants with remote sensing: In urban forests

International Journal of Applied Earth Observation and Geoinformation

Volumn 21, Issue 1, 2013, Pages 525-534

  Shouse, Michael ^a   Liang, Liang ^a   Fei, Songlin ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Invasive species; Object based classification; Remote sensing; Spatial resolution

Indexed keywords

COMPUTER SIMULATION; IMAGE CLASSIFICATION; INVASIVE SPECIES; MAPPING; REMOTE SENSING; SPATIAL RESOLUTION; UNDERSTORY; URBAN FORESTRY;

LONICERA; LONICERA MAACKII;

EID: 84872775063     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.07.010     Document Type: Article

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