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　　焦子銻，波士頓大學和北京師范大學聯(lián)合培養(yǎng)博士，現(xiàn)為北京師范大學地理科學學部教授、博士生導師。主要研究方向為定量遙感、多角度光學遙感的建模、信息提取與應用，發(fā)表SCI/EI論文50余篇, 在Remote Sensing of Environment等遙感領域的頂尖學術期刊發(fā)表學術論文多篇。提出了AFX和BRDF原型的概念。研制和生產(chǎn)了MODIS植被聚集指數(shù)產(chǎn)品；Remote Sensing 編委。長期擔任國內(nèi)外20個學術期刊雜志（RSE,ISPRS,TGRS，遙感學報 等）的審稿人。

1. 自然科學基金面上項目，主持，植被聚集指數(shù)的遙感反演、尺度效應及產(chǎn)品驗證方法研究(41971288), 2020.01-2023.12

2. 自然科學基金面上項目，主持，利用多角度數(shù)據(jù)提取雙向反射分布函數(shù)(BRDF)原型的方法與應用研究(41571326)，2016.01-2019.12

3. 自然科學基金面上項目，主持，應用植被角度指數(shù)反演植被物理生物參數(shù)的研究與應用(41171261)，2012.01-2015.12

4. 自然科學基金面上項目，主持，利用MODIS多光譜和多角度信號改善地表分類精度的研究(40871193)，2009.01-2011.12

5. 承擔國家重點基礎研究發(fā)展計劃(973計劃)、國家高技術研究發(fā)展計劃(863計劃)和國家重點研發(fā)計劃課題/子課題7項;

6. 多項部門項目

Cui, L.; Jiao, Z*.; Zhao, K.; Sun, M.; Dong, Y.; Yin, S.; Li, Y.; Chang, Y.; Guo, J.; Xie, R.; Zhu, Z.; Li, S. (2020). Retrieval of Vertical Foliage Profile and Leaf Area Index Using Transmitted Energy Information Derived from ICESat GLAS Data. Remote Sens. 2020, 12, 2457. doi:10.3390/rs12152457.

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.2019.2946598

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/rs11192239

Dong,Y., Jiao, Z.*, Cui, L., Zhang, H.,Zhang, X., Yin, S., Ding, A., Chang, Y., Xie, R., Guo, J. (2019). Assessment of the Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Based on the Hotspot-Enhanced Kernel-Driven BRDF Model. IEEE Transactions on Geoscience and Remote Sensing (TGRS). 57 (10): 8048-8064, DOI: 10.1109/TGRS. 2019.2917923.

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 from the 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, International Journal of Remote Sensing, DOI: 10.1080/01431161.2019.1590878

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 the anisotropic re？ectance of pure snow in a kernel-driven BRDF model framework. Remote Sens. 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 Sensing Modeling to Quantitative Remote Sensing Science—In Memory of Academician Xiaowen Li. Remote Sensing. 10 (11): 1764. https://doi.org/10.3390/rs10111764 (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 the Reflectance Anisotropy Effect on Albedo Retrieval from Remotely Sensed Observations Using Archetypal BRDFs. Remote Sens. 10, 1628;doi:10.3390/rs10101628 (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 Variation of the Clumping Index Retrieved from MODIS BRDF Products (2018). Remote Sens. 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 ground multi-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 Vegetation Characterization. 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. A method 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)

Zhang, H, Jiao Z.*, Dong Y, Du P, Li Y, LianY, Cui T. Analysis of Extracting Prior BRDF from MODIS BRDF Data. Remote Sensing. 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 reflectance anisotropy 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 for retrieval of surface albedo from small view-angle airborne observations through the use of BRDF archetypes as prior knowledge. IEEE J. Sel. Top. Appl. Earth Observ. 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 anisotropic flat 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 Models Using 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 of forward modeled 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 MODIS spectral and angular signatures in a Canadian boreal forest. Can. J. Remote. Sens. 37, 184–203.