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土壤盐渍化是新疆最常见的土地退化过程,已经严重威胁到了当地的农业生产、生态稳定和经济发展。通过对渭库绿洲土壤含盐量和土壤热红外光谱分析,探讨了土壤含盐量与热红外发射率之间的定量关系。结果表明:(1)盐渍化土壤的发射率随着含盐量的变化而发生变化,当土壤盐分增加时,发射率也随之增大。(2)土壤含盐量与热红外发射率光谱数据相关性在8.5~9.5μm波段范围内表现尤为显著,相关系数超过0.8,最高为0.90,对应波段范围9.259~9.271μm。(3)运用回归模型一阶导数变换形式下建模效果和预测精度都是最优的,R2达到了0.899,RMSE最小为1.734。热红外光谱技术可以反演土壤含盐量,为利用热红外遥感识别土壤盐分信息提供技术支撑。
Soil salinization is the most common land degradation in Xinjiang and has seriously threatened the local agricultural production, ecological stability and economic development. The quantitative relationship between soil salt content and thermal infrared emissivity was discussed through the analysis of soil salt content and soil thermal infrared spectrum in Wei library oasis. The results showed that: (1) The emissivity of salinized soils changed with the change of salinity. When the salinity of soil increased, the emissivity also increased. (2) The correlation between soil salt content and thermal infrared emissivity spectral data is particularly significant in the range of 8.5-9.5μm, the correlation coefficient is over 0.8, the highest is 0.90 and the corresponding band is 9.259 ~ 9.271μm. (3) Under the first derivative of the regression model, the modeling results and prediction accuracy are the best, R2 reached 0.899, RMSE minimum is 1.734. Thermal infrared spectroscopy can invert soil salinity and provide technical support for the use of thermal infrared remote sensing to identify soil salinity information.