[1] Liu W (刘 炜), Chang Q-R (常庆瑞), Guo M (郭曼), et al. Monitoring of leaf nitrogen content in summer corn with first derivative of spectrum based on modified red edge. Journal of Northwest A&F University (Natural Sciences) (西北农林科技大学学报:自然科学版), 2010, 38(4): 91-98 (in Chinese) [2] Gastal F, Bélanger G. The effects of nitrogen fertilization and the growing season on photosynthesis of field-grown tall fescue (Festuca arundinacea Schreb.) canopies. Annals of Botany, 1993, 72: 401-408 [3] Zhao D, Reddy KR, Kakani VG, et al. Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum. European Journal of Agronomy, 2005, 22: 391-403 [4] Zhou W (周 伟), Lyu T-F (吕腾飞), Yang Z-P (杨志平), et al. Research advances on regulating soil nitrogen loss by the type of nitrogen fertilizer and its application strategy. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(9): 3501-3508 (in Chinese) [5] Yang Y-X (杨玉鑫), Nie Y-M (聂宜民), Fang X-Y (房贤一), et al. Non-destructive monitoring of crop canopy nitrogen based on hyperstpectum. Journal of Anhui Agricultural Sciences (安徽农业科学), 2015, 43(14): 10-12 (in Chinese) [6] Tremblay N, Wang Z, Cerovic ZG. Sensing crop nitrogen status with fluorescence indicators: A review. Agronomy for Sustainable Development, 2012, 32: 451-464 [7] Li Z-H (李振海), Wang J-H (王纪华), He P (贺 鹏), et al. Modelling of grop chlorophyll content based on Dualex. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2015, 31(21): 191-197 (in Chinese) [8] Yu H-Y (俞洪燕), Qian X-G (钱晓刚). Estimating canopy leaf water content in wheat based on derivative spectra. Tillage and Cultivation (耕作与栽培), 2012, 46(1): 18-29 (in Chinese) [9] Song S-N (宋森楠), Song X-Y (宋晓宇), Chen L-P (陈立平), et al. Spatial structure and relationships of nitrogen balance index and protein content of grain in winter wheat. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2013, 29(15): 91-97 (in Chinese) [10] Cartelat A, Cerovic ZG, Goulas Y, et al. Optically assessed contents of leaf polyphenolics and chlorophyll as indicators of nitrogen deficiency in wheat. Field Crops Research, 2005, 91: 35-49 [11] Feng W, Yao X, Zhu Y, et al. Monitoring leaf nitrogen status with hyperspectral reflectance in wheat. European Journal of Agronomy, 2008, 28: 394-404 [12] Hansen PM, Schjoerring JK. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment, 2003, 86: 542-553 [13] Stroppiana D, Boschetti M, Brivio PA, et al. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry. Field Crops Research, 2009, 111: 119-129 [14] Zhu Y, Zhou D, Yao X, et al. Quantitative relationships of leaf nitrogen status to canopy spectral reflectance in rice. Crop & Pasture Science, 2007, 58: 1077-1085 [15] Wang R-H (王仁红), Song X-Y (宋晓宇), Li Z-H (李振海), et al. Estimation of winter wheat nitrogen nutrition index using hyperspectral remote sensing. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2014, 19(1): 191-198 (in Chinese) [16] Liang L (梁 亮), Zhang L-P (张连蓬), Lin H (林卉), et al. Estimating canopy leaf water content in wheat based on derivative spectra. Scientia Agricultura Sinica (中国农业科学), 2012, 46(1): 18-29 (in Chinese) [17] Shen Y (沈 艳), Niu Z (牛 铮), Wang W (王汶), et al. Dry-leaf biochemistry retrieval by the position variables of derivative spectra. Remote Sensing Information (遥感信息), 2005(4): 7-9 (in Chinese) [18] Wang X-Q (汪小钦), Wang M-M (王苗苗), Wang S-Q (王绍强), et al. Extraction of vegetation information from visible unmaned aerial vehicle images. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2015, 31(5): 152-158 (in Chinese) [19] Pei H-J (裴浩杰), Feng H-K (冯海宽), Li C-C (李长春), et al. Remote sensing monitoing of winter wheat growth with UAV based on comprehensive index. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2017, 33(20): 74-82 (in Chinese) [20] Sun Z-Y (孙中宇), Chen Y-Q (陈燕乔), Yang L (杨 龙), et al. Small unmanned aerial vehicles for low altitude remote sensing and its application progress. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(2): 528-536 (in Chinese) [21] Hu J-B (胡健波), Zhang J (张 健). Unmanned aerial vehicle remote sensing in ecology. Acta Ecologica Sinica (生态学报), 2017, 38(1): 1-10 (in Chinese) [22] Yang G-J (杨贵军), Li C-C (李长春), Yu H-Y (于海洋), et al. UAV based multi-load remote sensing technologies for wheat breeding information acquirement. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2015, 21(1): 184-190 (in Chinese) [23] Gao L (高 林), Yang G-J (杨贵军), Wang B-S (王宝山), et al. Soybean leaf area index retrieval with UAV (unmanned aerial vehicle) remote sensing imagery. Chinese Journal of Eco-Agriculture (中国生态农业学报), 2015, 23(7): 868-876 (in Chinese) [24] Zhang X-Y (张潇元), Zhang L-F (张立福), Zhang X (张 霞), et al. Sensitivity of different spectral vegetation index for estimating winter wheat leaf nitrogen. Scientia Agricultura Sinica (中国农业科学), 2017, 50(3): 474-485 (in Chinese) [25] Ai J-Q (艾金泉), Chen W-H (陈文惠), Chen L-J (陈丽娟), et al. Hyperspectral remote sensing estimation models for foliar photosynthetic pigment contents at canopy level in an invasive species. Acta Ecologica Sinica (生态学报), 2015, 35(4): 1175-1186 (in Chinese) [26] Li Z (李 喆), Hu D (胡 蝶), Zhao D-Z (赵登忠), et al. Research advance of broadband vegetation index using remotely sensed images. Journal of Yangtze River Scientific Research Institute (长江科学院院报), 2015, 32(1): 125-130 (in Chinese) [27] Chu W-L (楚万林), Qi Y-B (齐雁冰), Chang Q-R (常庆瑞), et al. Relationship between chlorophyll content and hyperspectral parameters in canopy leaves of cotton. Journal of Northwest A&F University (Natural Sciences) (西北农林科技大学学报:自然科学版), 2016, 44(9): 65-73 (in Chinese) [28] Wang Y-Q (王永前), Shi J-C (施建成), Liu Z-H (刘志红), et al. Application of microwave vegetation index in drought monitoring. Journal of Remote Sensing (遥感学报), 2014, 18(4): 843-867 (in Chinese) |