NGUYEN VAN THAO

Study on The Effect of Temperature Effect on AMSR Soil Moisture in Observation of Soil Moisture

Minjiao Lu

Soil moisture is an important parameter of soil-atmosphere interactions and affects the continuous and seasonal changes in global and regional water cycles. At present, soil moisture monitoring networks are widely used for high temperature sensitive dielectric sensors due to their low cost, ease of use, and low energy consumption. To ensure the accuracy of soil moisture content (SWC) measurement, it is important to use an effective temperature compensation method for the dielectric sensor. Jeewantinie Kapilaratne and Minjiao Lu succeeded in developing a temperature correction algorithm in a study of the "Automated general temperature correction method for dielectric soil moisture sensors, (2017)." This study uses this temperature correction algorithm and related algorithms to complete accurate soil moisture data.
   Furthermore, it is necessary to evaluate the accuracy of Advanced Microwave Scanning Radiometer (AMSR-2 / AMSR-E) to effectively monitor the soil moisture of the whole earth and the region. AMSR is considered to be sensitive to temperature because it uses the measurement of microwave radiation temperature from the ground. The effects of temperature effects on AMSR data are considered through the observation of daytime data (Ascending) and nighttime data (Descending). In this study, we verify the accuracy of the data of the two most common sources, AMSR-2 / AMSR-E from JAXA and NASA. Simultaneously consider the effect of temperature effect on soil moisture value of AMSR-2 / AMSR-E.