多源遥感数据及其融合技术在土壤墒情监测中的应用

Application of Multi-source Remote Sensing Data and Its Fusion Technology in Soil Moisture Monitoring

多源遥感信息融合技术使得融合影像拥有更多的数据信息,更高的空间分辨率等优点。使融合影像数据在土壤墒情监测中作为数据源更具优势。以郑州市为研究区域,采用单窗算法,应用Landsat-ETM+和SPOT影像进行地表温度的反演。结合实测土壤墒情、气象等资料构建土壤墒情反演模型。研究表明:融合后的遥感数据反演土壤墒情的精度比未经融合的遥感数据高。

Multi-source remote sensing information fusion is a new technique for the comprehensive treatment and analysis of remote sensing information. Remote sensing data fusion technology makes fused image has more data,higher spatial resolution. It also makes the integration of image data has more advantages as a data source in the soil moisture monitoring. In this paper,based on the soil moisture data and meteorological data of Zhengzhou City and the surrounding areas,using the method of the single-window model,combining the study area Landsat-ETM＋ and SPOT images and their fusion image,the surface temperature is inverted out. The measured data of surface temperature and soil moisture of the study area is used to establish the regression models,thus figure out the soil moisture. According to the precision evaluation,it can found that the inversion effect of the integration of remote sensing data is better than that without the integration of remote sensing data.