湖南人，理学博士，现任北京师范大学文理学院地理系副研究员。长期从事地表通量遥感反演模型开发、模型和产品不确定性评价、高时空蒸散反演的遥感反演、农业干旱灾害监测和预警方面的基础理论研究和应用研究，在遥感领域有影响力的国际一流期刊发表论文十余篇。

教育背景

2002.09-2006.06    北京师范大学，地理科学，理学学士

2006.09-2009.06    中国科学院研究生院地理科学与资源研究所，自然地理，理学硕士

2009.09-2015.06   University of Wisconsin - Madison，Ph.D. in Environment and Resources

工作经历

2024.03 至 今, 北京师范大学, 文理学院, 特聘副研究员

2021.11-2024.03, 北京师范大学, 自然科学高等研究院, 特聘副研究员

2018.09-2021.06, USDA Hydrology and Remote Sensing Laboratory, United States Department of Agriculture, Research Physical Scientist

2015.08-2018.08, USDA Hydrology and Remote Sensing Laboratory, United States Department of Agriculture, Postdoctoral

研究方向

水文遥感、遥感数据融合

科研项目

1.新疆干旱区水循环与水利用重点实验室开放课题《基于高时空分辨率遥感反演的和田河流域蒸散估算》 2023-2026在研, 主持

2.国家重点研发计划项目《黑土地风蚀水蚀融蚀过程、耦合机制与阻控原理》子课题水土保持耕作措施对坡耕地土壤侵蚀退化的阻控效应及原理，2021-2025，在研，参与

3.广东省基础与应用基础研究重大项目《高分辨率陆面环境模拟与预测研究》子课题耦合人类活动的土壤侵蚀过程模式，2022-2025，在研，参与

4. NASA New Investigator Program in Earth Science:  Leveraging Information Theory and Flux Tower Footprints Towards Improved Satellite-Based Evapotranspiration Estimates, 2020-2022 . Collaborator

5. NSF Prediction of and Resilience against Extreme Events Collaborative Research:  Flash droughts: process, prediction, and the central role of vegetation in their evolution, 2019 – 2022. Collaborator

6. NASA  ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Earth Ventures Instrument , 2018 – 2021. Collaborator

7. NASA ROSES  Characterizing Field-Scale Water Use, Phenology and Productivity in Agricultural Landscapes using Multi-Sensor Data Fusion . 2017-2019. Collaborator

8. NASA's Land Cover and Land Use Change (LCLUC)  Investigating the Relationship Between Land Use/Land Cover Change, Hydrologic Cycle, and Climate in Semi-Arid Central Asia . 2010 – 2012. Student Collaborator.

发表论文

Yang, Y., Anderson, M., Gao, F., Johnson, D., Yang, Y., Sun, L., Dulaney, W., Hain, C., Otkin, J., Prueger, J.,Meyers, T., Bernacchi, C., Moore, C.,2021. Phenological corrections to a field-scale, ET-based crop stress indicator: An application to yield forecasting across the U.S. Corn Belt. Remote Sensing of Environment, 257, p. 112337.

Anderson, M.C., Yang, Y., Xue, J., Knipper, K.R., Yang, Y., Gao, F., Hain, C.R., Kustas, W.P., Cawse-Nicholson, K., Hulley, G. and Fisher, J.B., 2021. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales. Remote Sensing of Environment, 252, p.112189.

Zhang, C., Long, D., Zhang, Y., Anderson, M.C., Kustas, W.P. and Yang, Y., 2021. A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion.  Remote Sensing of Environment ,  262 , p.112519.

Kang Y., Ozdogan M., Gao F., Anderson M., White W., Yang Y., Yang Y., Erickson T., 202.A data-driven approach to estimate leaf area index for Landsat images over the contiguous US. Remote Sensing of Environment, 258, p.112383.

Sun, L., Gao, F., Xie, D., Anderson, M., Chen, R., Yang, Y., Yang, Y. and Chen, Z., 2021. Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach. Remote Sensing of Environment, 253, p.112156.

Song, L., Bian, Z., Kustas, W.P., Liu, S., Xiao, Q., Nieto, H., Xu, Z., Yang, Y., Xu, T. and Han, X., 2020. Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature. Remote Sensing of Environment, 239, p.111674.

Yang, Y., Anderson, M.C., Gao, F., Wardlow, B., Hain, C.R., Otkin, J.A., Alfieri, J., Yang, Y., Sun, L. and Dulaney, W., 2018. Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA. Remote Sensing of Environment, 210, pp.387-402.

Song, L., Liu, S., Kustas, W.P., Nieto, H., Sun, L., Xu, Z., Skaggs, T.H., Yang, Y., Ma, M., Xu, T. and Tang, X., 2018. Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale. Remote Sensing of Environment, 219, pp.72-88.

Sun, L., Anderson, M.C., Gao, F., Hain, C., Alfieri, J.G., Sharifi, A., McCarty, G.W., Yang, Y., Yang, Y., Kustas, W.P. and McKee, L., 2017. Investigating water use over the C hoptank R iver W atershed using a multisatellite data fusion approach. Water Resources Research, 53, pp.5298-5319.

Yang, Y., Anderson, M., Gao, F., Yang, Y. and Sun, L., 2016, July. Study of water use in agricultural landscapes at high spatiotemporal resulotion. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 7172-7175). IEEE.

Ozdogan M., Yang Y., Allez G. and Cervantes C. 2010. Remote Sensing of Irrigated Agriculture: Opportunities and Challenges. Remote Sensing 2: 2274-2304.

教学工作

本科生：遥感概论、定量遥感模型与反演、GIS 综合实习、人类与自然、遥感地学分析

研究生：遥感反演理论与方法

社会工作

基金评审

NASA The Future Investigators in NASA Earth and Space Science and Technology (FINESST) Water and Energy Cycle panel review, 2020

NASA Advancing Collaborative Connections for Earth System Science (ACCESS) panel review, 2020

NASA's ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Science and Application Team Peer Review, 2019

NASA Earth and Space Science Fellowship (NESSF) panel review, 2017, 2018

期刊审稿

Water Resource Research, Journal of hydrology, Remote Sensing of Environment, Ecohydrolgy, Remote sensing, Journal of Applied Remote Sensing, Applied Engineering in Agriculture, Agronomy, Journal of Geophysical Research – Biogeosciences, Nature Scientific Reports, Science of The Total Environment, Energies, Water.