A novel Moisture Adjusted Vegetation Index (MAVI) to reduce background reflectance and topographical effects on LAI retrieval

PLoS ONE

Volumn 9, Issue 7, 2014, Pages

  Zhu, Gaolong ^a,b   Ju, Weimin ^b   Chen, J M ^b,c   Liu, Yibo ^d  

^a MINJIANG UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c UNIVERSITY OF TORONTO   (Canada)

^d NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BLACK SPRUCE; CANOPY; CONTROLLED STUDY; ENVIRONMENTAL PARAMETERS; GRASSLAND; INFORMATION RETRIEVAL; LEAF AREA; MOISTURE; MOISTURE ADJUSTED VEGETATION INDEX; NEAR INFRARED REFLECTANCE; NOISE REDUCTION; PINE; PLANT PARAMETERS; PROCESS OPTIMIZATION; SHORTWAVE INFRARED REFLECTANCE; SIMULATION; SOIL ANALYSIS; TOPOGRAPHY; VEGETATION; CHEMISTRY; CHINA; FOREST; PLANT LEAF; POACEAE; REMOTE SENSING; SATELLITE IMAGERY; TREE;

WATER;

CHINA; FORESTS; GRASSLAND; PLANT LEAVES; POACEAE; REMOTE SENSING TECHNOLOGY; SATELLITE IMAGERY; TREES; WATER;

EID: 84904254764     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0102560     Document Type: Article

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