Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures

Remote Sensing of Environment

Volumn 114, Issue 3, 2010, Pages 514-519

  Hasegawa, Kouiti ^a,b   Matsuyama, Hiroshi ^a   Tsuzuki, Hayato ^c   Sweda, Tatsuo ^c  

^a TOKYO METROPOLITAN UNIVERSITY   (Japan)

^b KOMAZAWA UNIVERSITY   (Japan)

^c EHIME UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR OBSERVATIONS; BIDIRECTIONAL REFLECTANCE; BOREAL ECOSYSTEMS; BOREAL FORESTS; FIELD DATA SETS; GEOMETRIC STRUCTURE; HOT SPOT; LEAF AREA INDEX; LEAF BIOMASS; NEW INDICES; NORMALIZED DIFFERENCE VEGETATION INDEX; QUANTITATIVE ESTIMATION; TECHNICAL INNOVATION; VEGETATION CANOPY; VEGETATION INDEX;

FORESTRY; HYDRODESULFURIZATION; REMOTE SENSING;

VEGETATION;

BIDIRECTIONAL REFLECTANCE; BOREAL FOREST; DATA SET; LEAF AREA INDEX; NDVI; REMOTE SENSING;

FOREST CANOPY; FORESTRY; GEOMETRY; PLANTS; REMOTE SENSING;

CANADA;

EID: 74149092046     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.10.005     Document Type: Article

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