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《Remote Sensing Technology and Application》 2018-01
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Pixel-scalesoil Moisture Monitoring Network and Its Preliminary Validation of L-band Soil Moisture Products

Bai Yu;Meng Zhiguo;Zhao Kai;Zheng Xingming;Jiang Tao;Faculty of GeoExploration Science and Technology,Jilin University;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences;Changchun Jingyuetan Remote Sensing Experiment Station,Chinese Academy of Sciences;  
Soil moisture is a key variable in the process of crop growth,ground-air water heat exchange and global water cycle,which plays an important role in drought monitoring,hydrological land surface processes and climate change.Passive microwave remote sensing has become the main means of monitoring soil moisture with the sensitivity to soil moisture.In this study,the authenticity test of SMAP(Soil Moisture and Active and Passive)and SMOS(Soil Moisture and Ocean Salinity)passive microwave soil moisture products using the soil moisture sensor network monitoring data carried out against the underlying surface of farmlands in Jilin Province was carried out.The following conclusions were obtained:(1)Compared with the in situ measured data,SMOS L3(ascending and descending overpasses)and SMAP L3 passive microwave soil moisture products generally underestimated the ground data,but With the occurrence of rainfall events,there will be the phenomenon which is the value of soil moisture products is higher than the in situ data;although the unbiased root mean square error(unRMSE)of the two soil moisture products was greater than 0.07 m3/m3,the unRMSE of SMAP passive microwave soil moisture product data which was0.078 m3/m3 was slightly lower;(2)Since the depth of induction of the L-band is lighter than the depth of detection of the sensor(5 cm),and the dryness of the soil surface after rainfall causes the vertical inhomogeneity of soil moisture,which is one of the reasons why SMOS and SMAP passive microwave soil moisture products underestimate soil moisture;(3)SMOS has a higher value than the range of SMAP brightness temperature,which may be caused by radio frequency interference(RFI),which makes the error of soil moisture Retrieval and affects the validation accuracy.The comparison of bright temperature distribution of SMOS and SMAP shows that the effect of RFI on SMOS is more serious due to the influence of electromagnetic radio frequency interference(RFI),which may be the reason why the RMSE of soil moisture product of SMOS is higher than that of passive microwave soil moisture product of SMAP.
【Fund】: 吉林省科技发展计划优秀青年人才基金项目(20170520078JH);; 科技基础性工作专项“测绘地物波谱本底数据库建设”(2014FY210800-4);; 中国科学院东北地理与农业生态研究所青年科学家小组项目“基于卫星星座观测体系的农业遥感信息服务示范系统关键技术研发”(DLSXZ1602)
【CateGory Index】: S152.7;TP722.6
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