Retrieval of leaf water content of winter wheat from canopy hyperspectral data using partial least square regression

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 30, Issue 4, 2010, Pages 1070-1074

  Wang, Yuan Yuan ^a   Li, Gui Cai ^a   Zhang, Li Jun ^a   Fan, Jin Long ^a  

^a NATIONAL CLIMATE CENTER   (China)

Author keywords

Hyperspectral; Leaf water content; Partial least Square regression

Indexed keywords

ACCURATE ESTIMATION; CANOPY SPECTRUM; DROUGHT MONITORING; DRY MATTERS; FIRE RISKS; FLOWERING STAGE; GROWING SEASON; GROWTH STAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; LEAF WATER; LEAF WATER CONTENT; MEAN VALUES; PARTIAL LEAST SQUARE REGRESSION; PHYSIOLOGICAL STATUS; PREDICTION MODEL; RETRIEVAL ACCURACY; SPECTRAL DATA; SPECTRAL REFLECTANCES; SPECTRAL REGION; SPECTRAL RESPONSE; TEMPORAL CHARACTERISTICS; TEMPORAL VARIATION; THREE STAGES; WINTER WHEAT;

MATHEMATICAL MODELS; PHYSIOLOGICAL MODELS; REFLECTION; REGRESSION ANALYSIS; REMOTE SENSING; RISK PERCEPTION;

WATER CONTENT;

SOIL; WATER;

PLANT LEAF; REGRESSION ANALYSIS; SOIL; SPECTROSCOPY; THEORETICAL MODEL; WHEAT;

LEAST-SQUARES ANALYSIS; MODELS, THEORETICAL; PLANT LEAVES; SOIL; SPECTRUM ANALYSIS; TRITICUM; WATER;

EID: 77951926759     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2010)04-1070-05     Document Type: Article

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