Comparison of hyperspectal and imagery characteristics of freezing stress and normal wheat

Duan Yunsheng; Zhang Dongyan; Huang Linsheng; Zhao Jinling

[1] Feng Yuxiang, He Weixun, Sun Zhongfu, et al. Climatological study on frost damage of winter wheat in China[J]. Acta Agron Sin, 1999, 25(3): 335-340.

[2] Feng Yuxiang, He Weixun. Study of Frostbite[M]. Beijing: China Meteorological Press, 1996: 14-15.

[3] Tang Zhicheng, Sun Han. Analysis winter wheat freeze injury with NOAA remote sensing data [J]. Remote Sensing Information, 1989, 4: 37-39.

[4] Yang Bangjie, Wang Maoxin, Pei Zhiyuan. Monitoring freeze injury to winter wheat using remote sensing [J]. Transactions of the CSAE, 2002, 18(2): 136-140.

[5] Zhang Xiaoyun, Chen Yuying, Su Zhansu, et al. A study on monitoring frost of main crop in the area of Ningxia by using remote sensing[J]. Remote Sensing Technology Application, 2001, 16(1): 32-36.

[6] Zhang Xuefen, Chen Huailiang, Zheng Youfei, et al. Monitoring the freezing injury of winter wheat by remote sensing[J]. Joural Nanjing Institue Meteorology, 2006, 29(1): 94-100.

[7] Li Cunjun, Zhao Chunjiang, Liu Liangyun, et al. Retrieval winter wheat ground cover by short-wave infrared spectral indices in field and sensitivity analysis [J]. Transactions of the CSAE, 2004, 20(5): 159-164.

[8] Li Cunjun, Wang Jihua, Liu Liangyun, et al. Automated digital image analyses for estimating percent ground cover of winter wheat based on object features[J]. Journal of Zhejiang University (Agri & Life Sci), 2004, 30(6): 650-656.

[9] Lu Yanli, Hu Hao, Bai Youlu, et al. Effects of vegetation coverage on the canopy spectral and yield quantitative estimation in wheat[J]. Joural of Triticeae Crops, 2010, 30(1): 96-100.

[10] Zhu Lei, Xu Junfeng, Huang Jingfeng, et al. Study on hyperspectral estimation model of crop vegetation cover percentage [J]. Spectroscopy and Spectral Analysis, 2008, 28(8): 1827-1831.

[11] Wang Fangyong, Wang Keru, Li Shaokun, et al. Estimation of chlorophyll and nitrogen contents in cotton leaves using digital camera and imaging spectrometer[J]. Acta Agronomica Sinica, 2010, 36(11): 1981-1989.

[12] Zhang Dongyan, Huang Wenjiang, Wang Jihua, et al. In-situ crop hyperspectral acquiring and spectral features analysis based on pushbroom imaging spectrometer[J]. Transactions of the CSAE, 2010, 26(12): 188-192.

[13] Lukina E V, Stone M L, Raun W R. Estimating vegetation coverage in wheat using digital images[J]. Journal of Plant Nutrition, 1999, 22(2): 341-350.

[14] Karcher D E, Richardson M D. Quantifying turfgrass color using digital image analysis[J]. Turfgrass Science, 2003, 43: 943-951.

[15] Ribeiro A, Ranz J, Burgos-Artizzu X P, et al. An image segmentation based on a genetic algorithm for determining soil coverage by crop residues[J]. Sensors, 2011: 11, 6480-6492.

[16] Casadesus J, Kaya Y, Bort J, et al. Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments[J]. Annual Applied Biology, 2007, 150: 227-236.