Journal
SENSORS
Volume 13, Issue 3, Pages 3109-3130Publisher
MDPI
DOI: 10.3390/s130303109
Keywords
sensors; spectral reflectance; vegetation index; above-ground plant nitrogen uptake; estimating model; comparison; intercalibration; winter wheat
Funding
- National High-tech Research and Development Program of China (863 Program) [2011AA100703]
- National Natural Science Foundation of China [31201131, 31201130]
- Natural Science Foundation of Jiangsu Province [BK2010453]
- Science and Technology Support Plan of Jiangsu Province [BE2011351]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
- Jiangsu Agriculture Science and Technology Innovation Fund [SCX(12) 3272]
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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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