黄河三角洲土壤水分遥感监测研究

REMOTE SENSING MONITORING OF SOIL MOISTURE IN THE YELLOW RIVER DELTA

黄河三角洲地区对我国经济、农业等方面有着至关重要的意义。以利用卫星遥感数据评价黄河三角洲地区土壤水分的分布作为主要研究目的,使用全波段Landsat-5TM图像,用遥感—数学—模型融合的研究方法,在实地考察土壤水分和其他辅助资料的基础上,用分解像元法排除植被干扰来提取土壤水分光谱信息,采用土壤水分光谱法并借助回归分析建立土壤水分遥感的TM数据模型。利用土壤水分遥感的TM数据模型对研究区进行了实地验证。结果表明,研究结果符合实际,利用土壤水分遥感的TM数据模型监测并评价土壤水分分布是可行的。

The Yellow River Delta is very important to our country in economy, agriculture and so on. To study how remote sensing data could be used to evaluate soil moisture distribution in the Yellow River Delta, a remote sensing TM data model for soil moisture was established based on all band Landsat-5 TM images, field investigation of soil moisture regimes and other related data with the aid of the research technique combining remote sensing, mathematics and modeling, the pixel decomposition method to extract soil moisture spectrum information by removing interference of vegetation, the soil moisture spectrum method and the regression analysis. The TM data model was further verified against the study area. Results indicate that the findings conform to the reality. The TM data model is thought to be applicable and workable to monitoring and evaluating of soil moisture distribution