中文    English
当前位置: 本站首页 » 科学研究 » 科研成果 » 正文

Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrom

发布日期:2017-03-17 15:05:13 阅读次数:[6108]次 作者:

核心提示:来源出版物: SCIENTIFIC REPORTS

作者: Sun, J (Sun, Jia); Shi, S (Shi, Shuo); Gong, W (Gong, Wei); Yang, J (Yang, Jian); Du, L (Du, Lin); Song, SL (Song, Shalei); Chen, BW (Chen, Biwu); Zhang, ZB (Zhang, Zhenbing)

来源出版物: SCIENTIFIC REPORTS  卷: 7  文献号: 40362  DOI: 10.1038/srep40362  出版年: JAN 16 2017

摘要: Fast and nondestructive assessment of leaf nitrogen concentration (LNC) is critical for crop growth diagnosis and nitrogen management guidance. In the last decade, multispectral LiDAR (MSL) systems have promoted developments in the earth and ecological sciences with the additional spectral information. With more wavelengths than MSL, the hyperspectral LiDAR (HSL) system provides greater possibilities for remote sensing crop physiological conditions. This study compared the performance of ASD FieldSpec Pro FR, MSL, and HSL for estimating rice (Oryza sativa) LNC. Spectral reflectance and biochemical composition were determined in rice leaves of different cultivars (Yongyou 4949 and Yangliangyou 6) throughout two growing seasons (2014-2015). Results demonstrated that HSL provided the best indicator for predicting rice LNC, yielding a coefficient of determination (R-2) of 0.74 and a root mean square error of 2.80 mg/g with a support vector machine, similar to the performance of ASD (R-2 = 0.73). Estimation of rice LNC could be significantly improved with the finer spectral resolution of HSL compared with MSL (R-2 = 0.56).

 

版权所有:测绘遥感信息工程国家重点实验室   
联系地址: 中国·武汉市珞瑜路129号   邮编: 430079   E-mail:liesmars@whu.edu.cn
Tel/Fax:027-68778969(办公室) 027-68778229(国际交流办公室)027-68778525(研究生管理办公室)