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Monitoring litchi canopy foliar phosphorus content using hyperspectral data

文献类型：期刊论文

作者Li, Dan1; Wang, Chongyang1; Jiang, Hao1; Peng, Zhiping2; Yang, Ji1; Su, Yongxian1; Song, Jia3; Chen, Shuisen1
刊名COMPUTERS AND ELECTRONICS IN AGRICULTURE
出版日期2018-11-01
卷号154页码:176-186
关键词Canopy Growth stage Litchi Phosphorus Spectral index
ISSN号0168-1699
DOI10.1016/j.compag.2018.09.007
通讯作者Chen, Shuisen(css@gdas.ac.cn)
英文摘要Phosphorus (P) is an important element to litchi yield and fruit quality in addition to nitrogen (N) and potassium (K). This study was undertaken to explore the ability to predict P content using canopy reflectance. Some published indices and two ratio spectral indices (Ratio of reflectance index, RRI; Ratio of reflectance difference index, RRDI) developed by band interactive-optimization algorithms were investigated to determine their performance in predicting litchi canopy foliar P content. The results showed that optimal spectral indices selected by correlation analyses reached the highest level of accuracy in the retrieval of P content at each growth stage (R(2)cv = 0.54-0.98, RMSEcv = 0.02-0.03). The particular wavelengths of importance in the significant RRIs and RRDIs changed with the growing stages, cultivars and planting conditions. The sensitive wavebands ranged from the visible to the short-wave infrared (SWIR) regions, which are related to the absorption features of pigments (e.g., anthocyanin, chlorophyll), proteins, nitrogen, starch, sugar, oil, cellulose, and lignin. And the wavebands in SWIR region were used in the optimal RRIs and RRDIs for growth stages. This study demonstrates that the optimal RRDI is useful in predicting litchi foliar P content. The successes of use of SWIR in foliar nutrient monitoring is important for precision agriculture.
WOS关键词REFLECTANCE SPECTRA ; NITROGEN ; LEAF ; VEGETATION ; INDEX ; WHEAT
资助项目GDAS' Special Project of Science and Technology Development, China[2017GDASCX-0101] ; Natural Science Foundation of Guangdong Province, China[2015A030313805] ; Natural Science Foundation of Guangdong Province, China[2015A030313811] ; Construction Project of Discipline Team of Guangdong Academy of Agricultural Sciences, China[201632td]
WOS研究方向Agriculture ; Computer Science
语种英语
WOS记录号WOS:000449246200017
出版者ELSEVIER SCI LTD
资助机构GDAS' Special Project of Science and Technology Development, China ; Natural Science Foundation of Guangdong Province, China ; Construction Project of Discipline Team of Guangdong Academy of Agricultural Sciences, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/52498]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Shuisen
作者单位1.Guangzhou Inst Geog, Guangdong Key Lab Remote Sensing & GIS Applicat, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Guangdong, Peoples R China
2.Guangdong Acad Agr Sci, Inst Agr Resources & Environm, Guangzhou 510640, Guangdong, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Li, Dan,Wang, Chongyang,Jiang, Hao,et al. Monitoring litchi canopy foliar phosphorus content using hyperspectral data[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2018,154:176-186.
APA Li, Dan.,Wang, Chongyang.,Jiang, Hao.,Peng, Zhiping.,Yang, Ji.,...&Chen, Shuisen.(2018).Monitoring litchi canopy foliar phosphorus content using hyperspectral data.COMPUTERS AND ELECTRONICS IN AGRICULTURE,154,176-186.
MLA Li, Dan,et al."Monitoring litchi canopy foliar phosphorus content using hyperspectral data".COMPUTERS AND ELECTRONICS IN AGRICULTURE 154(2018):176-186.

入库方式： OAI收割

来源：地理科学与资源研究所

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