赵峰 - 北京航空航天大学 - 仪器科学与光电工程学院

个人简介

围绕高分遥感专项、定量遥感应用和新型荧光遥感探测方法等关键问题，解决三维离散植被冠层辐射传输精确建模、三维场景地-气辐射耦合建模、叶绿素荧光信号辐射传输建模、和叶绿素荧光信号提取等难题，取得了多项研究成果：（1）建立了基于蒙特卡洛光线追踪模型WPS（Weighted Photon Spread），进行一系列功能扩展，首次实现三维场景叶绿素荧光辐射传输模拟（FluorWPS模型），并可用于三维地表-大气耦合系统高光谱辐射传输模拟（2）首次提出植被叶绿素荧光光谱重构方法FSR（Fluorescence Spectrum Reconstruction），发展了从近地面到卫星尺度的多种植被荧光光谱重构算法教学工作教授研究生课程《定量遥感》教授本科生课程《大气辐射传输理论基础》、《定量遥感基础》教授留学研究生课程《Remote Sensing Pilot Project》荣誉获奖本科教学成果奖，一等奖一次，排名第一本科教学成果奖，二等奖两次，分别排名第一、第二优秀硕士论文指导教师（三次），优秀本科毕业论文指导教师（两次）科研项目澜湄流域大气产品高性能反演算法研发，中国科学院空天信息创新研究院，23万，2021.12-2023.12 植被日光诱导叶绿素荧光辐射模拟研究，国家自然科学基金委，63万，2018.1-2021.12 行播作物冠层主要生长期辐射模型构建和反演，75万，2014.1-2017.12 行播作物辐射一体化模型的改进扩展和反演，国家自然科学基金委，18万，2010.1-2012.12 红外遥感信息模型与组分温度反演, 民用航天, 30万，2011.1-2015.4 环境星辐射归一化关键技术研究, 民用航天, 20万，2008.1-2011.7 学术兼职 Remote Sensing of Environment期刊荧光遥感专刊编辑，2021.9-至今 Remote Sensing of Environment期刊编委，2020.7-至今 Remote Sensing期刊荧光遥感专刊编辑，2020.1-2021.5

研究领域

地-气辐射传输耦合遥感建模和参数反演定量遥感，高光谱遥感，荧光遥感计算机图形学方法在遥感信号模拟中的应用

近期论文

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Zhao, F.*, Ma, W., Kohler, P., Ma, X., Sun, H., Verhoef, W., & Ratul, A. K. (2022). Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14. Zhao, F.*, Li, Z., Verhoef, W., Fan, C., Luan, H., Yin, T., & Bao, Y. (2022). Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS. Remote Sensing of Environment, 277, 113075. Liu, Z., Zhao, F., Liu, X.*, Yu, Q., Wang, Y., & Peng, X., et al., (2022). Direct estimation of photosynthetic CO2 assimilation from solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 271, 112893. Ali, B., Zhao, F.*, Li, Z., Zhao, Q., Gong, J., Wang, L., Tong, P., Jiang, Y., Su, W., Bao, Y., Li, J., 2021, Sensitivity Analysis of Canopy Structural and Radiative Transfer Parameters to Reconstructed Maize Structures Based on Terrestrial LiDAR Data. Remote Sens., 13, 3751. Lu, X., Liu, Z., Zhao, F., & Tang, J.* (2020). Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis. Remote Sensing of Environment, 251, 112083. Belabid, N., Zhao, F.*, Brocca, L., Huang, Y., & Tan, Y. (2019). Near-real-time flood forecasting based on satellite precipitation products. Remote Sensing, 11(3), 252. Zhao, F.*, Li, R., Verhoef, W., Cogliati, S., Liu, X., Huang, Y., Guo, Y., Huang, J. (2018), Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method, Remote Sensing of Environment, 219, 233-246. Zhao, F.*, Dai, X., Verhoef, W., Guo, Y., van der Tol, C., Li, Y., & Huang, Y. (2016). FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy. Remote Sensing of Environment, 187, 385-399. Zhao, F.*, Li, Y., Dai, X., Verhoef, W., Guo, Y., Shang, H., & Huang, J. (2015). Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops. Remote Sensing of Environment, 156, 129-142. Zhao, F.*, Guo, Y., Huang, Y., Reddy, K. N., Zhao, Y., & Molin, W. T. (2015). Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement. Journal of Applied Remote Sensing, 9(1), 097098. Zhao, F.*, Guo, Y., Huang, Y., Verhoef, W., Van der Tol, C., Dai, B., ... & Liu, G. (2015). Quantitative estimation of fluorescence parameters for crop leaves with bayesian inversion. Remote sensing, 7(10), 14179-14199. Zhao, F.*, Guo, Y., Verhoef, W., Gu, X., Liu, L., & Yang, G. (2014). A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote sensing, 6(10), 10171-10192. Zhao, F.*, Guo, Y., Huang, Y., Reddy, K. N., Lee, M. A., Fletcher, R. S., & Thomson, S. J. (2014). Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion. International Journal of Applied Earth Observation and Geoinformation, 31, 78-85. Zhao, F.*, Huang, Y., Guo, Y., Reddy, K. N., Lee, M. A., Fletcher, R. S., & Thomson, S. J. (2014). Early detection of crop injury from glyphosate on soybean and cotton using plant leaf hyperspectral data. Remote Sensing, 6(2), 1538-1563. Zhao, F., Gu, X.*, Verhoef, W., Wang, Q., Yu, T., Liu, Q., & Zhao, H. (2010). A spectral directional reflectance model of row crops. Remote Sensing of Environment, 114(2), 265-285.