可见光-近红外波段土壤水分含量偏振光谱响应变化研究

通过在350～2 500 nm波段范围内对不同水分含量的土壤进行偏振光谱测试与分析，确定土壤偏振光谱数据与水分含量之间的关系，研究土壤水分含量对偏振光谱的响应与变化，并确定最佳土壤含水量偏振光谱预测模型。结果表明，微分偏振光谱模型的精度要高于偏振光谱模型和吸光度模型，且模型均呈现拐点含水量，发现不同偏振状态下的拐点含水量均在30%附近，具有一定的规律性。

Study on the Response to the Soil Moisture Polarized Spectrum under Visible-Near Infrared Band

Moisture is one of the important parameters in soil polarized spectrum. It has great significance in soil remote sensing band selection and image interpretation; it also provides the information for soil investigation and analysis on physical and chemical properties. In the present paper we tested and analyzed the soil polarized spectrum with different moisture in 350~2 500 nm wavelength range to study on the relationship between soil polarized spectral data and moisture, to determine the spectral response and changes in soil moisture, to establish models between spectral data and soil moisture and select the best forecast model. The results show that the accuracy of the polarized derivative spectra model is higher than the polarized spectral model and absorbance model. All the models showed a water content threshold, and found that it is a certain regularity that critical value of soil moisture in different polarization is near 30%.