Inversion of Soil Properties with Hyperspectral Reflectance in
Well-facilitied Capital Farmland Construction Areas
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 (350~2500 nm) 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.