姚云军，北京师范大学教授、博士生导师。主要从事资源环境遥感、蒸散发遥感反演以及遥感应用等方面研究。担任《Ecological Processes》期刊副主编、《Remote Sensing》期刊编委，担任中国遥感应用协会定量遥感分会委员以及中国地理信息产业协会农业农村地理信息分会委员。先后主持与参加国家自然科学基金、国家重点研发课题等科研项目20余项，发表SCI论文150余篇。

资源环境遥感、蒸散发遥感反演、遥感应用

[1] 国家自然基金面上项目“基于多星多尺度遥感的地表潜热通量智能化融合算法研究”，2022.01-2025.12

[2] 国家自然基金面上项目“陆面潜热通量遥感融合估算及其时空变化归因研究”，2017.01-2020.12

[3] 国家自然科学基金重大项目"地表异常遥感探测与即时诊断方法"子课题"植被和水体异常遥感响应特征研究"，2022.01-2026.12

[1] Yao,Y, S.Liang, J.Fisher, et al. 2021. A novel NIR-Red spectral domain evapotranspiration model from the Chinese GF-1 satellite: application to the Huailai agricultural region of China. IEEE Transactions on Geoscience and Remote Sensing, 59, 4105-4119.

[2] Yao,Y, S.Liang, B.Cao, et al. 2018. Satellite detection of water stress effects on terrestrial latent heat flux with MODIS shortwave infrared reflectance data. Journal of Geophysical Research-Atmospheres,123,11410-11430.

[3] Yao, Y , S. Liang, X. Li, et al.2015. A satellite-based hybrid algorithm to determine the Priestley-Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes. Remote Sensing of Environment, 165, 216-233.

[4] Yao, Y, S. Liang, X. Xie, et al., 2014. Estimation of the terrestrial water budget over northern China by merging multiple datasets. Journal of Hydrology, 519, 50-68.

[5] Yao,Y, S.Liang, J. Cheng, et al., 2013. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm. Agricultural and Forest Meteorology, 171, 187-202.