Research On Soil Moisture Inversion Method Of Summer Maize In Jiaozuo Guangli Irrigation Area Based On Sentinel-1A Data

Henan as an agricultural province,the grain yield in irrigation area accounts for 40% of the total grain output in the province.To acquire accurate acquisition of soil moisture in irrigated areas and further precision irrigation.It is not only beneficial to the rational distribution of water resources,but also to improve the utilization efficiency of irrigation water and increase the grain yield.The traditional methods for monitoring the soil moisture of crops in the irrigated areas should waste a lot of manpower and financial resources.The unique advantages of microwave remote sensing,such as All time?All-weather monitoring,etc.It has been widely recognized in the area of large and rapid inversion of soil moisture.Better results have been achieved in the inversion of soil moisture in the bare soil,but the accuracy of vegetation coverage area needs to be further improved.The accuracy of water cloud model inversion is better when the high vegetation coverage of low vegetation,but the inversion effect of vegetation coverage in uneven vegetation is not ideal.Therefore,this research is based on water cloud model,Using AIEM model to establish multiple data base of surface parameters,research of the relationship between surface parameters,establish the correlation model between different roughness,different soil water content and backscatter coefficient.Aiming at the low accuracy of water cloud model under uneven distribution of vegetation coverage,introduce vegetation coverage parameters,modify the water cloud model,makes the modified water cloud model suitable for vegetation areas with uneven vegetation coverage,at the same time,the model also considered the effects of vegetation canopy height and surface roughness during the inversion process.Selection of Sentinel-1A multi-polarization C band synthetic aperture radar data and Landsat-8 data for inversion of soil moisture in summer maize in Jiaozuo guangli irrigated area.Combined with the measured data of 25 groups of irrigated areas,Comparing the measured data with the inversion results of the modified water cloud model and the inversion results of the water cloud model.Comparing the inversion results with the measured data,the inversion result of the modified water cloud model is 0.14 higher than the square of the correlation coefficient of the water cloud model inversion result,root mean square error reduced by 0.007.The results show that: The modified water cloud model is more accurate than the water cloud model in the retrieval of summer maize soil moisture,and can accurately reflect the soil moisture of summer maize in Jiaozuo guangli irrigation area.