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| 基于行走式近红外反射光谱和偏最小二乘法的冰碛土中土壤碳和粘粒含量制图研究 | |
| 作者姓名： | SHEN Zhang-Quan SHAN Ying-Jie PENG Li JIANG Yu-Gen |
| 摘 要： | |
| 收稿时间： | 23 November 2012 |
Mapping of total carbon and clay contents in glacial till soil using on-the-go near-infrared reflectance spectroscopy and partial least squares regression |
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| SHEN Zhang-Quan,SHAN Ying-Jie,PENG Li,JIANG Yu-Gen.Mapping of total carbon and clay contents in glacial till soil using on-the-go near-infrared reflectance spectroscopy and partial least squares regression[J].Pedosphere,2013,23(3):305-311. | |
| Authors: | SHEN Zhang-Quan SHAN Ying-Jie PENG Li and JIANG Yu-Gen |
| Institution: | 1. Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310058,China 2. Zhejiang Soil and Fertilizer Station, Hangzhou 310020,China 3. Fuyang Soil and Fertilizer Station, Fuyang 311400,China |
| Abstract: | Characterizing spatial variability of soil attributes, using traditional soil sampling and laboratory analysis, is cost prohibitive. The potential benefit of managing soils on a site-specific basis is well established. High variations in glacial till soil render detailed soil mapping difficult with limited number of soil samples. To overcome this problem, this paper demonstrates the feasibility of soil carbon and clay mapping using the newly developed on-the-go near-infrared reflectance spectroscopy (NIRS). Compared with the geostatistics method, the partial least squares regression (PLSR), with NIRS measurements, could yield a more detailed map for both soil carbon and clay. Further, by using independent validation dataset, the accuracy of predicting could be improved significantly for soil clay content and only slightly for soil carbon content. Owing to the complexity of field conditions, more work on data processing and calibration modeling might be necessary for using on-the-go NIRS measurements. |
| Keywords: | independent validation on-the-go measurement soil carbon mapping soil clay mapping soil sensors |
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