Inversion of Soil Properties with Hyperspectral Reflectance in Well-facilitied Capital Farmland Construction Areas
Qiuxia Zhang 1, Wenkai Liu 1, Hebing Zhang 2, Shouchen Ma 2, Xinsheng Wang 3
1. School of Public Administration,North China University of Water Resources and Electric Power, Zhengzhou, China 450046
2. School of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, China 450003
3. School of Life Science & Technology, Henan Institute of Science and Technology,Xinxiang,China 453003
Author: Qiuxia Zhang, Phd, Lecturer, the research direction is mining land reclamation and ecological reconstruction, E-mail:zhangqiuxia@ncwu.edu.cn .
Abstract: Well-facilitied capital farmland construction is an important measure to enhance the ability to ensure food security and accelerate new-style the modernization agriculture. Hyperspectral remote sensing can be provide data basis and technical support for realization the construction of well-facilitied capital farmland,to provide a reference for exploring the optimization of well-facilitied capital farmland construction area. Taking Xinzheng City of main grain producing areas in Henan province as the research object, using field sampling and indoor hyperspectral spectroscopy (350~2500nm ) combined, the spectral transformations such as Continuum removal(CR ) are carried out after the Savitzky-Golay(SG ) convolution smoothing, the best hyperspectral bands as the common index of the soil properties were selected by the correlation analysis and Fuzzy clustering maximum tree,focused on 405~431nm、781nm~831nm、1044~1087nm、1251~1410nm、1836~1898nm、2080nm~2201nm、2324~2395nm. The hyperspectral inversion model had been built by Panel date model of fixed effect variable coefficient based on the ordinary least squares estimation method (OLS ), that is about the panel data of PH、SOM、AN、AP、AK、Fe、Cr、Cd、Zn、Cu、Pb of 116 samples in Xinzheng City. The results showed that: The Panel date model significantly overall, the goodness of fit is higher (in the model,2 =0.9991,F = 2195.67). The result of precision test indicates that models performed well in modeling and predicting with a good ability of quantificational prediction, with RPD values were greater than 2.5.
Keywords: Well-facilitied capital farmland; Hyperspectral; Panel data model; Maximum tree clustering method;Xinzheng City