姓名：曹入尹 性别：男 学历：博士
职称：副教授 职务： 系别：空间信息与数字技术系
科研团队：定量遥感
E-mail：cao.ruyin@uestc.edu.cn
电话：




性别 男 学历 博士
职称 副教授 职务
xbb 空间信息与数字技术系 科研团队 定量遥感
E-mail cao.ruyin@uestc.edu.cn 电话
ACADEMIC QUALIFICATIONS ACADEMIC APPOINTMENTS
TEACHING FIELDS PROFESSIONAL ACTIVITIES
PUBLICATIONS
研究方向：定量遥感，遥感图像处理，环境遥感应用


教育工作背景：
2003.9-2007.7 北京师范大学资源学院 理学学士
2007.9-2013.7 北京师范大学减灾与应急管理研究院 理学博士
2013.9-2015.3 日本国立环境研究所，特别研究员（博士后）
2015.4- 电子科技大学，资源与环境学院，副教授


科 研 成 果：
近年来从事植被遥感、卫星遥感时间序列数据质量优化和数据应用等研究，相关工作发表于Remote Sensing of Environment, IEEE Transaction on Geoscience and Remote Sensing, Agricultural and Forest Meteorology等领域顶级期刊。


代表性论文（第一/唯一通讯*）：


Cao, R.Y., et al., 2020. Thick cloud removal in Landsat images based on autoregression of Landsat time-series data. Remote Sensing of Environment, 112001.


Chen, Y., Cao, R.Y*., et al., 2020. A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion. IEEE Transaction on Geoscience and Remote Sensing, 58(7), 5179-5194.


Cao, R.Y., et al., 2020. Uncertainty of Vegetation Green-Up Date Estimated from Vegetation Indices Due to Snowmelt at Northern Middle and High Latitudes. Remote Sensing, 12, no. 1: 190.


Liu, L.C., Cao, R.Y*., et al., 2019. How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes? Remote Sensing, 11, no. 18: 2137.


Cao, R.Y., et al., 2018. A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter. Remote Sensing of Environment, 217,244-257.


Cao, R.Y., et al., 2018. Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation. Agricultural and Forest Meteorology, 249, 176-186.


Cao, R.Y., et al., 2015. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data. Agricultural and Forest Meteorology, 200(15), 9-20.


Shen, M.G., Cong, N., Cao R.Y*., 2015. Temperature sensitivity as an explanation of the latitudinal pattern of green-up date trend in Northern Hemisphere vegetation during 1982-2008. International Journal of Climatology, 35(12). 3707-3712.


Cao, R.Y., et al., 2014. A simple method to simulate diurnal courses of PAR absorbed by grassy canopy. Ecological indicators, 46, 129-137.


Cao, R.Y., et al., 2013. An inherent limitation of solar-induced chlorophyll fluorescence retrieval at the O2-A absorption feature in high altitude areas. IEEE Geoscience and Remote Sensing Letters, 10(6), 1567-1571.




备 注：
努力让门下的每一位研究生都拥有美好的研究生生涯回忆，毕业研究生去向包括攻读博士、中国航天科工集团研究院（三院、五院、七院）等。欢迎测绘遥感、GIS、计算机、数学物理等相关专业的学生报考研究生。





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