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副研究員/副教授

  • 姓名:卞尊健
  • 性別:
  • 專家類別:
  • 所屬部門:
  • 職務(wù):
  • 職稱:副研究員
  • 社會任職:
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  • 傳真:
  • 電子郵件:bianzj@aircas.ac.cn
  • 個人網(wǎng)頁: 
  • 百人入選時間:
  • 杰青入選時間:
  • 通訊地址:奧運園區(qū)B座2樓B214
  • 郵政編碼:

    簡歷

  •        主要從事熱輻射輻射傳輸建模及應(yīng)用研究,長期從事熱紅外遙感建模和應(yīng)用研究。將分形思想引入輻射傳輸建模,解決了宏觀地表與微觀結(jié)構(gòu)特征同步模擬難題:模型用于國產(chǎn)多顆傳感器仿真論證、被法國SPARSE系統(tǒng)采納;揭示了陸表紅外輻射時-空-角變化規(guī)律,發(fā)展了光學(xué)/紅外協(xié)同的角度校正算法:被國家氣候中心溫度產(chǎn)品采納,可降低60%以上的角度偏差;引入貝葉斯優(yōu)化理論提升了熱紅外混合像元弱信息提取能力,實現(xiàn)了組分溫度產(chǎn)品業(yè)務(wù)化生產(chǎn):產(chǎn)品可顯著降低蒸散發(fā)估算不確定性(15%)。發(fā)表SCI論文40余篇,第一及通訊作者論文19篇,高被引文章2篇;獲得中科院院長“特別”獎,后續(xù)研究獲得博士后創(chuàng)新人才支持計劃、空天院“未來之星”、北京市科技新星等項目資助;擔(dān)任中國遙感應(yīng)用協(xié)會定量遙感專委會青年委員、中國氣象服務(wù)協(xié)會人工智能委員會委員。 
    工作經(jīng)歷:
    2013.09 - 2018.07,中國科學(xué)院遙感與數(shù)字地球研究所,博士;
    2019.01-2022.04,中國科學(xué)院空天信息創(chuàng)新研究院,特別研究助理;
    2022.04-2023.03,中國科學(xué)院空天信息創(chuàng)新研究院,助理研究員;
    2023.03-至今,中國科學(xué)院空天信息創(chuàng)新研究院,副研究員。

    研究方向

  • 定量遙感-熱紅外遙感

    承擔(dān)科研項目情況

  • 2024.09 – 2027.09,北京市科技新星項目,項目負(fù)責(zé)人;
    2023.01 – 2025.12,空天院“未來之星”,項目負(fù)責(zé)人;
    2023.01 - 2026.12,國家自然科學(xué)基金面上基金:考慮能量平衡過程的山區(qū)熱紅外輻射傳輸建模與組分溫度反演,項目負(fù)責(zé)人
    2020.01 - 2022.12,國家自然科學(xué)基金青年基金:離散森林場景組分溫度模擬與熱輻射方向性建模,項目負(fù)責(zé)人
    2019.01 - 2020.12,博士后基金(一等):基于貝葉斯模型平均方法的組分溫度集成算法研究,項目負(fù)責(zé)人
    2019.01 - 2020.12,博士后創(chuàng)新人才支持計劃:復(fù)雜場景熱輻射方向性建模及衛(wèi)星尺度組分溫度反演研究,項目負(fù)責(zé)人
    2020-09 - 2023-12, 中國科學(xué)院儀器設(shè)備改造項目: 植被冠層觀測傳感器網(wǎng)絡(luò)節(jié)點升級改造, 項目負(fù)責(zé)人。

    獲獎及榮譽

  • 2018年,中國科學(xué)院院長“特別”獎;
    2018年,中國科學(xué)院“環(huán)保獎”;
    2018年,北京市優(yōu)秀畢業(yè)生;
    2019年,博士后創(chuàng)新人才支持計劃; 
    2022年,中國科學(xué)院空天院“優(yōu)秀職工”;
    2023年,中國科學(xué)院空天院“未來之星”;
    2024年,中國科學(xué)院空天院“優(yōu)秀黨員”。

    代表性成果

  • 文章
    1.Bian, Z., Zhong, S., Roujean, J.L., Liu, X., Duan, S., Li, H., Cao, B., Li, R., Du, Y., Xiao, Q., & Liu, Q. (2024). An integrated method for angular and temporal reconstruction of land surface temperatures. Remote Sensing of Environment, 313, 114357
    2.Fan, T., Wen, J., Jiao, Z., Bian, Z., Zhong, S., Zhu, W., Cao, B., Li, H., Du, Y., Xiao, Q., & Liu, Q. (2024). Modeling the Topographic Effect on Directional Anisotropies of Land Surface Temperature from Thermal Remote Sensing. Journal of Remote Sensing, 4, 0226
    3.Zhong, S., Li, H., Bian, Z., Liu, Q., Du, Y., Cao, B., & Xiao, Q. (2024). A Consistency Analysis of Land Surface Temperatures Retrieved From Several Polar-Orbiting Satellite Observations. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-16
    4.Bian, Z., Fan, T., Roujean, J.L., Wang, D., Irvine, M., Wu, S., Cao, B., Li, H., Du, Y., Xiao, Q., & Liu, Q. (2024). An analytical urban temperature model with building heterogeneity using geometric optical theory. Remote Sensing of Environment, 301, 113948
    5.Bian, Z., Roujean, J.L., Fan, T., Dong, Y., Hu, T., Cao, B., Li, H., Du, Y., Xiao, Q., & Liu, Q. (2023). An angular normalization method for temperature vegetation dryness index (TVDI) in monitoring agricultural drought. Remote Sensing of Environment, 284, 113330
    6.Bian, Z., Qi, J., Gastellu-Etchegorry, J.-P., Roujean, J.-L., Cao, B., Li, H., Du, Y., Xiao, Q., & Liu, Q. (2022a). A GPU-Based Solution for Ray Tracing 3-D Radiative Transfer Model for Optical and Thermal Images. IEEE Geoscience Remote Sensing Letters, 19, 1-5
    7.Bian, Z., Wu, S., Roujean, J.-L., Cao, B., Li, H., Yin, G., Du, Y., Xiao, Q., & Liu, Q. (2022b). A TIR forest reflectance and transmittance (FRT) model for directional temperatures with structural and thermal stratification. Remote Sensing of Environment, 268, 112749
    8.Bian, Z., Roujean, J.-L., Cao, B., Du, Y., Li, H., Gamet, P., Fang, J., Xiao, Q., & Liu, Q. (2021). Modeling the directional anisotropy of fine-scale TIR emissions over tree and crop canopies based on UAV measurements. Remote Sensing of Environment, 252, 112150
    9.Bian, Z., Cao, B., Li, H., Du, Y., Fan, W., Xiao, Q., & Liu, Q. (2020a). The Effects of Tree Trunks on the Directional Emissivity and Brightness Temperatures of a Leaf-Off Forest Using a Geometric Optical Model. IEEE Transactions on Geoscience and Remote Sensing, 1-17
    10.Bian, Z., Roujean, J.L., Lagouarde, J.P., Cao, B., Li, H., Du, Y., Liu, Q., Xiao, Q., & Liu, Q. (2020c). A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices. ISPRS Journal of Photogrammetry and Remote Sensing, 160, 136-148
    11.Bian, Z., Li, H., G?ttsche, F.M., Li, R., Du, Y., Ren, H., Cao, B., Xiao, Q., & Liu, Q. (2020b). Retrieving Soil and Vegetation Temperatures From Dual-Angle and Multipixel Satellite Observations. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 13, 5536-5549
    12.Bian, Z., Cao, B., Li, H., Du, Y., Lagouarde, J.-P., Xiao, Q., & Liu, Q. (2018b). An Analytical Four-component Directional Brightness Temperature Model for Crop and Forest Canopies. Remote Sensing of Environment, 209, 731-746
    13.Bian, Z., Cao, B., Li, H., Du, Y., Huang, H., Xiao, Q., & Liu, Q. (2018a). Modeling the Distributions of Brightness Temperatures of a Cropland Study Area Using a Model that Combines Fast Radiosity and Energy Budget Methods. Remote Sensing, 10, 736
    14.Bian, Z., Du, Y., Li, H., Cao, B., Huang, H., Xiao, Q., & Liu, Q. (2017b). Modeling the Temporal Variability of Thermal Emissions From Row-Planted Scenes Using a Radiosity and Energy Budget Method. IEEE Transactions on Geoscience and Remote Sensing, 55, 6010-6026
    15.Bian, Z., Cao, B., Li, H., Du, Y., Song, L., Fan, W., Xiao, Q., & Liu, Q. (2017a). A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sensing, 9, 780
    16.Bian, Z., Xiao, Q., Cao, B., Du, Y., Li, H., Wang, H., Liu, Q., & Liu, Q. (2016). Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations. IEEE Transactions on Geoscience and Remote Sensing, 54, 4660-4671
    17.Bian, Z., Lu, Y., Du, Y., Zhao, W., Cao, B., Hu, T., Li, R., Li, H., Xiao, Q., & Liu, Q. (2022a). Comparison between Physical and Empirical Methods for Simulating Surface Brightness Temperature Time Series. In, Remote Sensing
     
    專利
    1.一種三維復(fù)雜地表葉面積指數(shù)反演方法及系統(tǒng),卞尊健;李嘉昕;范騰遠(yuǎn);曹彪;歷華;杜永明;肖青 柳欽火,ZL 2021 1 0796019.1
    2.一種三維復(fù)雜地表遙感光學(xué)特征反演方法及系統(tǒng),:卞尊健;范騰遠(yuǎn);李嘉昕;曹彪;歷華;杜永明;肖青 柳欽火,ZL 2021 1 0794684.7
    3.基于輻射度的地表高分辨率光譜信息遙感反演方法,卞尊健;李嘉昕;范騰遠(yuǎn);曹彪;歷華;杜永明;肖青 柳欽火, ZL 2021 1 0107797.5
    4.基于貝葉斯模型平均方法的地表組分溫度多算法集成算法,卞尊健;歷華;杜永明;曹彪,肖青 柳欽火, ZL 2020 1 1096827.9
    5.一種離散森林場景熱紅外輻射傳輸模擬方法,尊健;杜永明; 歷華;曹彪,肖青 柳欽火, ZL 2020 1 1096826.4