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