Study on the biomass change derived from the hyperspectral data of cotton leaves in canopy under moisture stress

Chinese Science Bulletin

Volumn 51, Issue SUPPL. 1, 2006, Pages 173-178

  Sun, Li ^a   Chen, Xi ^a   Wu, Jianjun ^b   Feng, Xianwei ^a   Bao, Anming ^a   Ma, Yaqin ^c   Wang, Dengwei ^c  

^a XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

^b YANGTZE RIVER SCIENTIFIC RESEARCH INSTITUTE   (China)

^c SHIHEZI UNIVERSITY   (China)

Author keywords

Biomass; Change; Cotton; Cotton leave in canopy; Hyperspectral data; Moisture stress

Indexed keywords

GOSSYPIUM HIRSUTUM;

EID: 33846309657     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-006-8223-y     Document Type: Article

References (12)

1. Wang K, Shen Z, Wang R. Nutrient stress and spectral characteristics of plants. Land Resources RS (in Chinese), 1999, 1: 9-14
2. Wang K, Shen Z, Wang R. Study on analysis and rapid measurement of N-nutrient content in paddy with reflective spectra of canopy and leaves. In: Research and Application of Life Science (in Chinese). Hangzhou: Zhejiang University Press, 1996. 523-526
3. Wang R, Chen M, Jiang H. Study on the agronomic mechanism of paddy yield estimation with RS: I. Spectral characteristics of paddy with different N-nutrient levels and the selection of sensitive wavebands. J Zhejiang Agricultural University (in Chinese), 1993, 19(Supp.): 7-14
4. Al-Abas A H, Barr R, Hall S D, et al. Spectra of normal and nutrient-deficient maize leaves. Agron J, 1974, 66: 16-20
5. Niu Z, Chen Y, Sui H, et al. Analysis on the RS detection mechanism of imaging spectra of chemical components in leaves. J Remote Sensing (in Chinese), 2000, 4(2): 125-129
6. Pu R, Gong P. Hyperspectral Remote Sensing and Its Application (in Chinese). Beijing: Higher Education Press, 2000. 3-53
7. Shibayama et al. Seasonal visible, near infrared and mid-infrared spectra of rice canopies inrelation to LAI and above-ground dry phytomass. Remote Sens Environ, 1989, 27(2): 119-127
8. Cheng Y, Hu C, Wang C, et al. Physiological response and spectral characteristics of summer maize under nutrient stress, China Agroscience (in Chinese), 2001, 23(6): 321-326
9. Danson F M. Red edge response to leaf area index. Int J Remote Sensing, 1995, 36(1): 45-53
10. Pinar A. Grass chlorophyll and the reflectance red edge. Int J Remote Sensing, 1996, 17(2): 351-357
11. Sun L, Chen X, Bao A, et al. Study on the recognition of N-nutrient content in cotton leaves in canopy under moisture stress with hyperspectral data. J Cotton Research (in Chinese), 2004, 16(5): 291-295
12. Shen Z, Wang K, Zhu J. Preliminary study on the recognition of N-nutrient level of different paddy varieties with chlorophyll meter. Science Bulletin (in Chinese), 2002, 3: 173-176