Accurate prediction of bird species richness patterns in an urban environment using Landsat-derived NDVI and spectral unmixing

International Journal of Remote Sensing

Volumn 29, Issue 13, 2008, Pages 3675-3700

  Bino, G ^a   Levin, N ^b   Darawshi, S ^a   Van Der Hal, N ^a   Reich Solomon, A ^a   Kark, S ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; BIRDS; CONSERVATION; COST EFFECTIVENESS; FORESTRY; PLANTS (BOTANY); REMOTE SENSING;

ACCURATE PREDICTION; BIODIVERSITY PATTERNS; BIRD SPECIES RICHNESS; COST-EFFECTIVE METHODS; LINEAR SPECTRAL UNMIXING; NORMALIZED DIFFERENCE VEGETATION INDEX; REMOTE SENSING APPROACHES; REMOTE SENSING TOOLS;

URBAN GROWTH;

BIODIVERSITY; BIRD; LAND COVER; LANDSAT; NDVI; PREDICTION; SPECIES RICHNESS; URBAN AREA;

ASIA; EURASIA; ISRAEL; JERUSALEM [ISRAEL]; MIDDLE EAST;

ANIMALIA; AVES;

EID: 46349086571     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701772534     Document Type: Article

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