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Assimilating Passive Microwave Remote Sensing Data in Land Surface Model for the Better Predictability of Land Surface States

机译：在地表模型中吸收无源微波遥感数据，以更好地预测地表状态

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《第三届国际未来智能对地观测卫星会议（FIEOS 2006）论文集》|2006年||共3页
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1. Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth [J] . Tao Che, Xin Li, Rui Jin, Remote Sensing of Environment: An Interdisciplinary Journal . 2014,第Null期

机译：将无源微波遥感数据同化为陆地表面模型，以改善雪深的估计
2. Improving land surface soil moisture and energy flux simulations over the Tibetan plateau by the assimilation of the microwave remote sensing data and the GCM output into a land surface model [J] . Lu H., Koike T., Yang K., International journal of applied earth observation and geoinformation . 2012,第Null期

机译：通过将微波遥感数据和GCM输出同化为地表模型来改善青藏高原地表土壤水分和能量通量的模拟
3. Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data [J] . Zhang Xiaodong, Zhou Ji, Liang Shunlin, ISPRS Journal of Photogrammetry and Remote Sensing . 2020,第Sepa期

机译：基于重建的空间 - 无缝卫星无源微波亮度温度和热红外数据的估算1公里的全天全天候偏远的陆地表面温度
4. Assimilating Passive Microwave Remote Sensing Data in Land Surface Model for the Better Predictability of Land Surface States [C] . Xin Li, Chunlin Huang, Tao Che, 3rd International Symposium on Future Intelligent Earth Observing Satellites (FIEOS 2006) . 2006

机译：在地表模型中吸收无源微波遥感数据，以更好地预测地表状态
5. Estimation of Land Surface Turbulent Heat and Evaporative Fluxes by Assimilating Remotely Sensed Land Surface Temperature and Moisture [D] . Abdolghafoorian, Abedeh. 2019

机译：通过吸收远程感测陆地温度和水分来估计土地表面湍流热和蒸发助熔剂
6. Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model [O] . Kinya Toride, Yohei Sawada, Kentaro Aida, 2019

机译：结合有源无源微波和光学植被遥感产品与陆面模型的高分辨率土壤水分监测
7. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling [O] . Christopher R. Hain, Wade T. Crow, John R. Mecikalski, 2011

机译：热红外和被动微波遥感和陆地造型的可用土壤水分估算的依比
8. Multi-Scale Convergence of Cold-Land Process Representation in Land-Surface Models, Microwave Remote Sensing, and Field Observations [R] . Shi, J. 2005

机译：陆地模型，微波遥感和野外观测中冷地过程表示的多尺度收敛

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