杨阳 - 北京师范大学 - 自然科学高等研究院

个人简介

教育背景 2015 University of Wisconsin-Madison, Ph.D 2009 中国科学院地理科学与自然资源研究所硕士 2006 北京师范大学学士工作经历 2018-2021 USDA ARS Hydrology and Remote Sensing LaboratoryVisiting Research Scientist 合作导师:Martha Anderson,高峰 2015-2018 USDA ARS Hydrology and Remote Sensing LaboratoryPostdoctoral Researcher 合作导师:Martha Anderson,高峰基本情况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、高时空分辨率蒸散的遥感反演、农业干旱灾害监测和预警方面的基础理论和应用研究，在遥感领域有影响力的国际一流期刊已发表论文10余篇。科研项目 NASA New Investigator Program in Earth Science: Leveraging Information Theory and FluxTower Footprints Towards Improved Satellite-Based Evapotranspiration Estimates.2020-2022.Collaborator 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 NASA ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESSEarth Ventures Instrument,2018-2021.Collaborator NASA ROSES Characterizing Field-Scale Water Use, Phenology and Productivity in AgriculturalLandscapes using Multi-Sensor Data Fusion.2017-2019.Collaborator Roy F, Weston Distinguished Graduate Fellowship in Sustainability Studies. 2015. Fellow. NASA's Land Cover and Land Use Change (LCLUC) Investigating the Relationship Between LandUse/Land Cover Change, Hydrologic Cycle, and Climate in Semi-Arid Central Asia. 2010 -2012.Student Collaborator. 获奖情况 Best Speaker of2019, USDA Agricultural Research Center Toastmaster Club, 2019Roy F. Weston Graduate Fellowship in Sustainability Studies, UW- Madison, 2014Vilas Research TravelAward,UW-Madison, 2014Nelson Institute StudentTravel Grant, UW- Madison, 2010优秀学生干部，中国科学院地理科学与资源研究所,2007-2008三好学生，中国科学院地理科学与资源研究所,2006-2007优秀团干部，北京师范大学，2003-2004优秀学生干部，北京师范大学，2002-2003专业奖学金，北京师范大学，2003-2005

研究领域

高精度高时空分辨率的蒸散估算，农作物估产/旱情监测多元遥感数据融合，热红外遥感

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

a. 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. CornBelt, Remote Sensing ofEnvironment, 257,p. 112337. b. 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 ofECOSTRESS andLandsat for mapping evapotranspiration time series at sub-field scales. Remote Sensing ofEnvironment, 252, p.112189. c. 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 spatialcompleteness across the North China Plain using TSEB and data fusion. Remote Sensing ofEnvironment, 262, p.112519. d. Kang Y., Ozdogan M., Gao F., Anderson M., White W., Yang Y., Yang Y., Erickson T., 2021.Adata-driven approach to estimate leaf area index for Landsat images over the contiguous USRemote Sensing of Environment, 258, p.112383. e. Sun, .., 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 referencecurve approach.Remote Sensing of Environment, 253, p.112156. f. Song, .., Bian, .., 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 surfacetemperature. Remote Sensing of Environment, 239, p.111674. g. 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 cropyield: An application over Mead, NE, USA. Remote Sensing of Environment, 210, pp.387-402. h. Song, L., Liu, S., Kustas, W.P., Nieto, H., Sun, .., Xu, Z., Skaggs, T.H., Yang, Y., Ma, M., Xu, Tand Tang, X., 2018. Monitoring and validating spatially and temporally continuous dailyevaporation and transpiration at river basin scale. Remote Sensing of Environment, 219, pp.72.88. i. Sun, ... Anderson, M.c.. Gao, F., Hain, C., Alfieri, J.G., Sharifi, A., McCarty, G.W., Yang, Y..Yang, Y., Kustas, W.P. and McKee, .., 2017. Investigating water use over the C hoptank R iverW atershed using a multisatellite data fusion approach, Water Resources Research, 53, pp.52985319. j. Yang, Y., Anderson, M., Gao, F., Yang, Y. and Sun, L., 2016, July. Study of water use inagricultural landscapes at high spatiotemporal resulotion. In 2016 lEEE InternationalGeoscience and Remote Sensing Symposium (IGARSS) (pp. 7172-7175).IEEE. k. Ozdogan M., Yang Y., Allez G. and Cervantes C. 2010. Remote Sensing of lrrigatedAgriculture: Opportunities and Challenges. Remote Sensing 2: 2274-2304.

学术兼职

基金评审 NASA The Future Investigators in NASA Earth and Space Science and Technology (FINESST) Water andEnergy Cycle panel review, 2020 NASA Advancing Collaborative Connections for Earth System Science (ACCESS) panel review, 2020NASA's ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Scienceand 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, Remotesensing, Journal of Applied Remote Sensing, Applied Engineering in Agriculture, Agronomy, Journal ofGeophysical Research - Biogeosciences, Nature Scientific Reports, Science ofThe Total Environment.Energies, Water.