Scaling up semi-arid grassland biochemical content from the leaf to the canopy level: Challenges and opportunities

Sensors

Volumn 10, Issue 12, 2010, Pages 11072-11087

  He, Yuhong ^a   Mui, Amy ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Canopy level; Hyperspectral remote sensing; Leaf level; Scaling; Semi arid grasslands; Vegetation biochemical content

Indexed keywords

CANOPY LEVEL; HYPERSPECTRAL REMOTE SENSING; LEAF LEVEL; SCALING; SEMI-ARID GRASSLANDS;

INTEGRATED CONTROL; MODELS; REMOTE SENSING;

VEGETATION;

CHLOROPHYLL; NITROGEN;

AGRICULTURE; BIOCHEMISTRY; CHEMISTRY; DESERT CLIMATE; EVALUATION; GEOGRAPHIC INFORMATION SYSTEM; GROWTH, DEVELOPMENT AND AGING; HUMAN; INSTRUMENTATION; METABOLISM; METHODOLOGY; PLANT LEAF; REMOTE SENSING; REVIEW; SOIL; SPECTROSCOPY; THEORETICAL MODEL; TREE;

AGRICULTURE; BIOCHEMISTRY; CHLOROPHYLL; DESERT CLIMATE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MODELS, THEORETICAL; NITROGEN; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; SOIL; SPECTRUM ANALYSIS; TREES;

EID: 78650285619     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s101211072     Document Type: Review

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