节点文献
基于Landsat8和Sentinel-1A数据的焦作广利灌区夏玉米土壤墒情监测方法研究
Soil Moisture Retrieval of Summer Maize in the Irrigation Area Based on Sentinel-1A
【摘要】 土壤水分是影响农业生产活动的重要因素,在旱情监测、农作物估产等方面有重要意义。研究采用水云模型来消除研究区域植被对后向散射的影响。建立植被含水量和归一化水指数的关系提取模型中所需的植被含水量参数。利用AIEM模型结合粗糙度参数Zs建立研究区土壤墒情反演模型,将模型应用于河南省焦作广利灌区,反演结果和实测值相关性达0.7。将水云模型与AIEM模型联合反演土壤墒情,取得了较为满意的结果,该方法具有较高的适用性。
【Abstract】 The soil moisture content is an important factor affecting the growth and development of crops. The water cloud model is used to eliminate the influence of vegetation on the backscattering in the study area. And the relationship between the normalized water index and the vegetation water content is establish to extract the vegetation water content parameters needed in the model. The AIEM model combined with the roughness parameter Zs is used to establish an empirical model for soil moisture inversion in the study area. The correlation between the inversion results of the model and the measured values is 0.7. The water cloud model and AIEM model are combined to retrieve soil moisture,and satisfactory results are obtained. The method has high applicability.
【Key words】 backscatter coefficient; soil moisture; water-cloud model; Sentinel-1A;
- 【文献出处】 中国农村水利水电 ,China Rural Water and Hydropower , 编辑部邮箱 ,2019年07期
- 【分类号】S152.7;S513
- 【被引频次】3
- 【下载频次】249