Comparison and Intercalibration of Vegetation Indices from Different Sensors for Monitoring Above-Ground Plant Nitrogen Uptake in Winter Wheat

被引:35
作者
Yao, Xinfeng [1 ]
Yao, Xia [1 ]
Jia, Wenqing [1 ]
Tian, Yongchao [1 ]
Ni, Jun [1 ]
Cao, Weixing [1 ]
Zhu, Yan [1 ]
机构
[1] Nanjing Agr Univ, Natl Engn & Technol Ctr Informat Agr, Jiangsu Key Lab Informat Agr, Nanjing 210095, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
sensors; spectral reflectance; vegetation index; above-ground plant nitrogen uptake; estimating model; comparison; intercalibration; winter wheat; REFLECTANCE MEASUREMENT; SPECTRAL REFLECTANCE; BIOMASS; LEAF; NDVI; PREDICTION; PRECISION; ACCURACY; YIELD; BAND;
D O I
10.3390/s130303109
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Various sensors have been used to obtain the canopy spectral reflectance for monitoring above-ground plant nitrogen (N) uptake in winter wheat. Comparison and intercalibration of spectral reflectance and vegetation indices derived from different sensors are important for multi-sensor data fusion and utilization. In this study, the spectral reflectance and its derived vegetation indices from three ground-based sensors (ASD Field Spec Pro spectrometer, CropScan MSR 16 and GreenSeeker RT 100) in six winter wheat field experiments were compared. Then, the best sensor (ASD) and its normalized difference vegetation index (NDVI (807, 736)) for estimating above-ground plant N uptake were determined (R-2 of 0.885 and RMSE of 1.440 g.N.m(-2) for model calibration). In order to better utilize the spectral reflectance from the three sensors, intercalibration models for vegetation indices based on different sensors were developed. The results indicated that the vegetation indices from different sensors could be intercalibrated, which should promote application of data fusion and make monitoring of above-ground plant N uptake more precise and accurate.
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收藏
页码:3109 / 3130
页数:22
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