个人信息简介 姓名：焦子锑
学历：博士（波士顿大学/北京师范大学）
职称：教授/博士生导师
职务：地学部，遥感院，院长助理
电话：**
邮箱：jiaozt@bnu.edu.cn

学术兼职
Editorial Board Member for Remote Sensing
Reviewer Board of Remote Sensing: https://www.mdpi.com/journal/remotesensing/submission_reviewers
长期担任国内外近20个学术期刊杂志（如，RSE、ISPRS、TGRS等）的主要审稿人；
IEEE，AGU，EGU等多个国际学术机构会员；
The mission of the Modeling in Remote Sensing Technical Committee (MIRS TC)的首批会员: http://www.grss-ieee.org/community/technical-committees/modeling-in-remote-sensing/

研究方向与招生
多角度光学遥感的建模、反演与应用(植被-土壤-冰雪)
教育经历
博士导师：李小文院士（北京师范大学）, Prof. Crystal Schaaf (UMASS-Boston), Prof. Alan Strahler (Boston University)
2004.9 – 2009. 5 波士顿大学 地理环境系 博士
2004.8 – 2008. 7 北京师范大学 地遥学院 博士
1999.9 – 2002. 7 北京师范大学 资环系 硕士
1989.9 – 1993. 7 武汉工程大学 资源系 学士

工作经历
2016.11– 至今 北京师范大学 地理科学学部 教授、副教授
2010.7 – 2016.10 北京师范大学 地理学与遥感科学学院 副教授
2007.3 – 2010.6 北京师范大学 地理学与遥感科学学院 讲 师
2004.8 – 2007.2 波士顿大学 地球与环境系 助 研
2002.9 – 2004.7 北京师范大学 地理学与遥感科学学院 讲 师
1993.7 – 1999.9 首钢集团公司 首钢集团公司 工程师

承担课程
本科生课程《遥感数字图像处理》
硕士研究生课程《植被光学遥感专题》
博士研究生课程《植被光学遥感研讨》

科研项目
1. 自然科学基金面上项目，植被聚集指数的遥感反演、尺度效应及产品验证方法研究(**), 2020.01-2023.12
2. 自然科学基金面上项目，利用多角度数据提取双向反射分布函数（BRDF）原型的方法与应用研究（**），2016.01-2019.12
3. 自然科学基金面上项目，应用植被角度指数反演植被物理生物参数的研究与应用（**），2012.01-2015.12
4. 自然科学基金面上项目，利用MODIS多光谱和多角度信号改善地表分类精度的研究（**），2009.01-2011.12
5. 承担国家重点基础研究发展计划（973计划）、国家高技术研究发展计划（863计划）和国家重点研发计划课题/子课题7项;
6. 多项部门项目

著作论文
近年来以第一作者和通讯作者(*)发表的主要SCI论文：

Mei, L., Rozanov, V., Ritter, C., Heinold, B., Jiao, Z., Vountas, M., Burrows, J. P. (2020). Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model. IEEE Transactions on Geoscience and Remote Sensing (TGRS). DOI: 10.1109/TGRS.2020.**.
Zhang, X., Jiao, Z.*, Dong, Y. , He, T., Ding, A., Yin, S., Zhang, H., Cui, L., Chang, Y., Guo, J. and Xie, R. (2020). Development of the Direct-Estimation Albedo Algorithm for Snow-Free Landsat TM Albedo Retrievals Using Field Flux Measurements. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 58 (3): 1550-1567, March 2020. doi: 10.1109/TGRS.2019.**
Cui, L., Jiao, Z.*, Dong, Y., Sun, M., Zhang,X., Yin, S., Ding, A, Chang, Y., Guo, J.,Xie, R. (2019). Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances. Remote Sens. 11(19), 2239; https://doi.org/10.3390/rs**
Dong,Y., Jiao, Z.*, Cui, L., Zhang, H.,Zhang, X., Yin, S., Ding, A., Chang, Y., Xie, R., Guo, J. (2019). Assessment ofthe Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Basedon the Hotspot-Enhanced Kernel-Driven BRDF Model. IEEE Transactions on Geoscienceand Remote Sensing (TGRS). 57 (10): 8048-8064, DOI: 10.1109/TGRS. 2019.**.
Ding, A., Jiao,Z.*, Dong, Y., Zhang, X., Peltoniemi,J.I., Mei, L., Guo, J., Yin,S., Cui, L., Chang, Y., Xie, R. (2019). Evaluation of the Snow Albedo Retrieved fromthe Snow Kernel Improved the Ross-Roujean BRDF Model. Remote Sens. 2019, 11,1611.
Ding, A., Jiao, Z.*, Yadong Dong, Ying Qu, Xiaoning Zhang, Chuan Xiong, Dandan He, SiyangYin, Lei Cui & Yaxuan Chang (2019): An assessment of the performance of two snow kernels in characterizing snow scattering properties, InternationalJournal of Remote Sensing, DOI: 10.1080/**.2019.**
Jiao, Z., Ding, A., Kokhanovsky, A.,Schaaf, C., Bréon, F-M., Dong, Y., Wang, Z., Liu, Y., Zhang, X., Yin, S., Cui, L.,Mei, L., Chang, Y. (2019). Development of a snow kernel to better model theanisotropic re?ectance of pure snow in a kernel-driven BRDF model framework. RemoteSens. Environ. 221 (2019) 198–209. (Impact Factor: 6.457; 5-Year Impact Factor:7.737).
Liu, Q., Yan, G., Jiao Z., Xiao., Q, Wen, J., Liang S,Wang J, Schaaf C, Strahler A. (2018). From Geometric-Optical Remote SensingModeling to Quantitative Remote Sensing Science—In Memory of AcademicianXiaowen Li. Remote Sensing. 10 (11): 1764. https://doi.org/10.3390/rs** (ImpactFactor: 3.406 (2017); 5-Year Impact Factor: 3.952 (2017)).
Zhang, H., Jiao, Z.*, ChenL., Dong, Y., Zhang X., Lian, Y., Qian, D., Cui, T.(2018). Quantifying theReflectance Anisotropy Effect on Albedo Retrieval fromRemotely Sensed ObservationsUsing Archetypal BRDFs. Remote Sens. 10, 1628;doi:10.3390/rs** (ImpactFactor: 3.406 (2017); 5-Year Impact Factor: 3.952(2017))
Dong, Y.; Jiao, Z.*; Yin, S.; Zhang, H.; Zhang, X.; Cui, L.; He, D.; Ding, A.;Chang, Y.; Yang, S. Influence of Snow on the Magnitude and Seasonal Variationof the Clumping Index Retrieved from MODIS BRDF Products (2018).RemoteSens.10, 1194. (ImpactFactor: 3.406 (2017) ; 5-Year Impact Factor: 3.952 (2017))
Jiao, Z. Zhang, X., Bréon,F.M. Dong, Y., Schaaf,C., Román, M., Wang, Z., Cui, L, Yin, S., Ding,A., Wang, J., 2018. The influence of spatial resolution onthe angular variation patterns of optical reflectance as retrieved from MODIS and POLDER measurements.Remote Sens. Environ. 215 (2018) 371–385. (ImpactFactor: 6.457; 5-Year Impact Factor: 7.737)
Jiao, Z.,Dong, Y., Schaaf, C.B., Chen, J.M., Román, M., Wang, Z., Zhang, H., Ding, A.,Erb, A., Hill, M.J., Zhang, X., Strahler, A., 2018. An algorithm for the retrieval of the clumping index (CI) from the MODIS BRDF product using an adjusted version of the kernel-driven BRDF model. Remote Sens. Environ. 209, 594–611. (Impact Factor: 6.457; 5-YearImpact Factor: 7.737).
Dong,Y., Jiao, Z.*, Ding, A., Zhang, H.,Zhang, X., Li, Y., He, D., Yin, S., & Cui, L. (2018). A modified version ofthe kernel-driven model for correcting the diffuse light of groundmulti-angular measurements. Remote Sensing of Environment, 210, 325-344. (Impact Factor: 6.457; 5-YearImpact Factor: 7.737).
Zhang,X., Jiao, Z.*, Dong, Y., Zhang, H.,Li, Y., He, D., Ding, A., Yin, S., Cui, L., & Chang, Y. (2018). Potential Investigation of Linking PROSAIL with the Ross-Li BRDF Model for VegetationCharacterization. Remote Sensing, 10. (Impact Factor: 3.406 (2017) ; 5-YearImpact Factor: 3.952 (2017))
Jiao, Z.,Schaaf, C.B., Dong, Y., Román, M., Hill, M.J., Chen, J.M., Wang, Z., Zhang, H.,Saenz, E., Poudyal, R., Gatebe, C., Bréon, F., Li, X., Strahler, A., 2016. Amethod for improving hotspot directional signatures in BRDF models used forMODIS. Remote Sens. Environ. 186, 135–151. (Impact Factor: 6.265; 5-YearImpact Factor: 7.737).
Dong,Y., Jiao, Z.*, Zhang, H., Bai, D.,Zhang, X., Li, Y., He, D., 2016. A visualization tool for the kernel-drivenmodel with improved ability in data analysis and kernel assessment. Comput.Geosci. 95, 1–10. (Impact Factor : 2.533)
ZhangH, Jiao Z.*, Dong Y, Du P, Li Y, LianY, Cui T. Analysis of Extracting Prior BRDF from MODIS BRDF Data. RemoteSensing. 2016; 8(12):1004. Impact Factor: 3.244 (2016); 5-Year Impact Factor:3.749 (2016))
Zhang,H., Jiao, Z.*, Dong, Y., & Li, X.(2015). Evaluation of BRDF archetypes for representing surface reflectanceanisotropy using MODIS BRDF data. Remote Sensing, 7, 7826–7845. Impact Factor:3.036.
Jiao, Z.,Zhang, H., Dong, Y., Liu, Q., Xiao, Q., Li, X., 2015. An algorithm forretrieval of surface albedo from small view-angle airborne observations throughthe use of BRDF archetypes as prior knowledge. IEEE J. Sel. Top. Appl. EarthObserv. Remote Sen. 8, 3279–3293. Impact Factor: 3.026
Jiao, Z.,Hill, M.J., Schaaf, C.B., Zhang, H., Wang, Z.S., Li, X.W., 2014. An anisotropicflat index (AFX) to derive BRDF archetypes from MODIS. Remote Sens. Environ.141, 168–187. (ImpactFactor: 6.393; 5-Year Impact Factor: 7.737).
Huang,X., Jiao, Z.*; Dong, Y., Zhang, H.,Li, X., (2013). Analysis of BRDF and Albedo Retrieved by Kernel-Driven ModelsUsing Field Measurements. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTHOBSERVATIONS AND REMOTE SENSING, 6(1): 149-161. ISSN: 1939-1404.
Jiao, Z.,Li, X., 2012. Effects of multiple view angles on the classification offorwardmodeled MODIS reflectance. Can. J. Remote. Sens. 38, 461–474.
Jiao, Z.,Woodcock, C., Schaaf, C.B., Tan, B., Liu, J., Gao, F., Strahler, A., Li, X.,Wang, J., 2011. Improving MODIS land cover classification by combining MODISspectral and angular signatures in a Canadian boreal forest. Can. J. Remote.Sens. 37, 184–203.



主要工作
? 已主持和正在主持自然科学基金面上项目4项；作为课题负责人和学术骨干，已参加国家重点基础研究发展计划（973计划）、 国家高技术研究发展计划（863计划）和国家重点研发计划7项，多项部门项目；
? 发表SCI/EI论文50余篇，其中以第一作者发表遥感领域顶尖学术期刊（RSE，top 1区，平均5年的IF >7.0）学术论文5 篇；
? 首次提出AFX和BRDF原型的概念，为植被聚集指数（CI）备用算法奠定理论基础。生产了具有自主知识产权的全球高时相MODIS植被聚集指数产品http://www.geodata.cn/thematicView/modislly.html
? 担任国内外近20个学术期刊杂志（如RSE、ISPRS、TGRS）的长期审稿人，长期与美国NASA/USDA/各大学; 法国CEA-CNRS；德国VITROCISET/不莱梅大学；芬兰/测地所(Finnish Geodetic Institute
)/赫尔辛基大学等的保持良好团队合作关系。