实验室工作 Yu et al. 2015 提出一种适用于青藏高原大面积遥感地表温度（LST）缺失的插值方法，利用该方法可以得到较高精度的晴空LST温度。该工作得到同行的应用。一篇是发表在2016的HP上关于阿尔泰的积雪融雪模拟（Wu et al. 2016)，作者在方法里描述：
However, the MOD11 LST product is calculated with cloud cover, so in this study an interpolation method following the theory of similarity was used to remove cloud pixels (Yu et al., 2015).WU ET AL. 2016
另一篇是有关土壤水降尺度的，发表在2019年的Agricultural and Forest Meteorology上面 (Song et al. 2019)，作者这样描述：
Yu et al. (2015) developed a different method from geostatistical interpolation and the method has been shown to perform much better than the Kriging method on the Qinghai-Tibet Plateau, within which there is a larger fraction of areas of MODIS LST pixel loss. In this regard, we have proposed a new version of this method to fulfill LST interpolation.SONG ET AL. 2019
- Yu W, Nan Z*, Wang Z, Chen H, Wu T, Zhao L. An Effective Interpolation Method for MODIS Land Surface Temperature on the Qinghai-Tibet Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015, 8(9): 4539-4550. (原文可从这里获取)
- Wu X, Shen Y, Wang N, Pan X, Zhang W, He J, Wang G. Coupling the WRF model with a temperature index model based on remote sensing for snowmelt simulations in a river basin in the Altay Mountains, north-west China. Hydrological Processes. 2016, 30(21): 3967-3977.
- Song P, Huang J, Mansaray L R. An improved surface soil moisture downscaling approach over cloudy areas based on geographically weighted regression. Agricultural and forest meteorology. 2019, 275: 146-158.