Using hyperspectral remote sensing to estimate canopy chlorophyll density of wheat under yellow rust stress

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

Volumn 30, Issue 8, 2010, Pages 2243-2247

  Jiang, Jin Bao ^a   Chen, Yun Hao ^b   Huang, Wen Jiang ^c  

^a China University of Mine and Technology   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

Canopy chlorophyll density; Hyperspectral remote sensing; Inversion model; Saturation analysis; Wheat; Yellow rust stress

Indexed keywords

CANOPY CHLOROPHYLL; HYPERSPECTRAL REMOTE SENSING; INVERSION MODELS; SATURATION ANALYSIS; WHEAT; YELLOW RUST;

CHLOROPHYLL; DISASTER PREVENTION; PORPHYRINS;

REMOTE SENSING;

CHLOROPHYLL;

BASIDIOMYCETES; PLANT DISEASE; PLANT LEAF; REMOTE SENSING; SEASON; THEORETICAL MODEL; WHEAT;

BASIDIOMYCOTA; CHLOROPHYLL; MODELS, THEORETICAL; PLANT DISEASES; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; SEASONS; TRITICUM;

EID: 77955620062     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2010)08-2243-05     Document Type: Article

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