In order to improve the yield of crops, the method of soil water content detection and analysis based on experimental reflectance spectrum data is adopted. From the four aspects of the farmland soil water detection based on reflection spectrum information, soil water content detection in farmland based on spectral absorption characteristics, remote sensing inversion of soil water content of farmland by reflectance spectra data, and soil water content detection in farmland based on near‐infrared spectroscopy, the soil water content of farmland can be analyzed. The absorption valley near 1,920 nm is the characteristic absorption valley of soil water in the black soil, which can be used to predict the water content of the black soil by the spectral characteristic parameters of the absorption valley; soil water will increase the absorption of radiation energy and reduce the overall reflectance spectra of soil. The quantitative monitoring of soil water content can be achieved by using the remote sensing model of soil water content in this paper. In the range of low soil water content, the reflectance decreases with the increase of soil water content in farmland, whereas in the range of high soil water content, it increases with the increase of soil water content in farmland. The correlation between soil water content and normalized spectral reflectance is positive and negative correlation and mainly negative correlation. The method can detect soil water content in farmland under extreme conditions of different texture, soil water, salinity, and organic matter. It is an effective method for soil water content detection.

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基于实验反射光谱数据的土壤含水量检测与分析

为了提高农作物的产量，采用了基于实验反射光谱数据的土壤含水量检测分析方法。从基于反射光谱信息的农田土壤水分检测，基于光谱吸收特征的农田土壤水分检测，基于反射光谱数据的农田土壤遥感遥感反演，基于农田土壤水分检测的四个方面在近红外光谱上，可以分析农田的土壤水分。1,920 nm附近的吸收谷是黑土中土壤水分的特征吸收谷，可通过吸收谷的光谱特征参数来预测黑土中的水含量。土壤水将增加辐射能的吸收并降低土壤的总反射光谱。利用土壤水分遥感模型可以对土壤水分进行定量监测。在低土壤含水量范围内，反射率随农田土壤含水量的增加而减小，而在高土壤含水量范围内，其反射率随农田土壤含水量的增加而增加。土壤含水量与归一化光谱反射率之间的相关为正负相关，主要为负相关。该方法可以在质地，土壤水分，盐分和有机质不同的极端条件下检测农田的土壤水分。它是检测土壤含水量的有效方法。