A robust technique for mapping vegetation condition across a major river system

Ecosystems

Volumn 12, Issue 2, 2009, Pages 207-219

  Cunningham, S C ^a   Mac Nally, R ^a   Read, J ^a   Baker, P J ^a   White, M ^b   Thomson, J R ^a   Griffioen, P ^c  

^a MONASH UNIVERSITY   (Australia)

^b ARTHUR RYLAH INSTITUTE FOR ENVIRONMENTAL RESEARCH   (Australia)

^c AcroMap   (Australia)

Author keywords

Eucalyptus camaldulensis; Floodplains; Neural networks; Regression splines; Regression trees; Remote sensing; River regulation; Validation; Vegetation condition

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIODIVERSITY; COMPARATIVE STUDY; ECOLOGICAL MODELING; ECOSYSTEM MANAGEMENT; EVERGREEN TREE; FLOODPLAIN; MULTIVARIATE ANALYSIS; REMOTE SENSING; RIVER SYSTEM; VEGETATION MAPPING; WATER USE;

AUSTRALASIA; AUSTRALIA; MURRAY RIVER;

EUCALYPTUS; EUCALYPTUS CAMALDULENSIS;

EID: 61349095976     PISSN: 14329840     EISSN: 14350629     Source Type: Journal    
DOI: 10.1007/s10021-008-9218-0     Document Type: Article

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