In-site Total N Content Prediction of Soil with Vis/NIR Spectroscopy
WANG Shan-qin1,2,SHU Ning1,ZHANG Hai-tao2
1. College of Remote Sensing Information Engineering, Wuhan University, Wuhan 430072, China 2. College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
Abstract：The Vis/NIR spectroscopy as an efficient tool to predict within-filed soil properties is significantly valuable when establishing agricultural field trials and in precision farming. The object of the study was to investigate the feasibility and possibility of using transformed in-site spectra by relative transformation method (RTM) to prediction soil properties. One hundred and three samples of paddy and fluvo-aquic soil in central china were collected. The in-site moisture (Rw) and dried (Rd) Vis/NIR spectra were measured by ASD field handHeld analyzer. The spectral characteristics of two kind soils were analyzed comparatively. The Rw spectra were transformed by RTM into Rn, which were of similar information content and charatistics with Rd. The first derivatives of three spectra revealed that the method could reduce the water disturb on and noise in Rw Vis/NIR spectrum. The PLS regession model was applied to predict total nitrogen (TN) respectively using Rw, Rd and Rn as predictor. The models with Rw predicted TN respectively of paddy, fluvo-aquic and all samples with poor adjusted r2 (<0. 5), while Rd with good adjusted r2 0.70, 0.88 and 0.71 and Rn 0.53, 0.62 and 0.64. The result showed that the RTM was efficient to enhance analysis and prediction of soil properties using Vis/NIR spectrum measured on the spot. The combination of PLS and RTM could help implemention of real-time analyzing soil properties using Vis/NIR spectrum.
汪善勤1,2,舒宁1,张海涛2. 土壤全氮田间Vis/NIR光谱测定方法研究[J]. 光谱学与光谱分析, 2008, 28(04): 808-812.
WANG Shan-qin1,2,SHU Ning1,ZHANG Hai-tao2. In-site Total N Content Prediction of Soil with Vis/NIR Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(04): 808-812.
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