Research On Remote Sensing Data And Soil Moisture Retrival

Soil moisture,one of the main causes to change the global atmospheric environment,has attracted wide attention in various fields.Especially in the field of soil science.Soil moisture not only affects the growth and development of crops,but also holds the important information of its water management,production estimation and drought early warning and so on.Carrying out large-scale experimental research on soil moisture is the need of our national conditions,as well as the inevitable requirement for development.Global Navigation Satellite System-Reflection(GNSS-R)contains the physical information of the soil.In this thesis,based on the existing theoretical research and experimental conditions,the research on soil moisture inversion experiment is carried out and implemented based on GNSS-R.The research includes four aspects:(1)a new type delay mapping software receiver is designed to get the correlation value of direct and reflected signals,and a self-developed moisture meter to obtain the soil moisture data;(2)discussions on the effectiveness of using normalized power as an indicator to measure the performance of signal correlation values;(3)to find the appropriate inversion model and analyze its effect with the data;(4)consideration and solutions on the factors that will influence the accuracy during inversion process.Comparing with the results and data of moisture meter,it is proved that the delay mapping software receiver with dual channel can effectively obtains direct and reflected signals separately;based on the normalized reflectivity,selecting appropriate moisture model according to different environment is conducive to improve the retrieval accuracy,the research results can be applied to the further study of soil moisture and other fields.