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　　教育經(jīng)歷

　　2012-2018 北京師范大學(xué) 地理科學(xué)學(xué)部 地圖學(xué)與地理信息系統(tǒng) 博士 

　　2005-2007 北京師范大學(xué) 地理學(xué)與遙感科學(xué)學(xué)院 地圖學(xué)與地理信息系統(tǒng) 碩士 

　　1999-2003 北京師范大學(xué) 數(shù)學(xué)系 應(yīng)用數(shù)學(xué) 學(xué)士 

　　工作經(jīng)歷 

　　2007.8-今 北京師范大學(xué)地理科學(xué)學(xué)部 教授級(jí)高級(jí)工程師 

　　2015.8-2016.9 美國(guó)馬里蘭大學(xué) 訪問(wèn)學(xué)者

定量遙感

1. 國(guó)家自然科學(xué)基金青年基金項(xiàng)目“窄波段遙感反照率地面測(cè)量和產(chǎn)品驗(yàn)證中的尺度問(wèn)題研究”，主持，在研 

2. 國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目子課題“高分辨率葉面積指數(shù)遙感估算技術(shù)與變化分析”，主持，在研 

3. 國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目子課題 “基于國(guó)產(chǎn)高空間分辨率衛(wèi)星數(shù)據(jù)的地表反照率遙感估算”，主持，在研 

4. 國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃（973計(jì)劃）子課題“地表反照率多時(shí)間尺度動(dòng)態(tài)特征分析”，主持，已結(jié)題 

5. 國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃（973計(jì)劃）項(xiàng)目課題 “基于地表參數(shù)知識(shí)庫(kù)的遙感綜合定量反演”，參與，已結(jié)題 

6. 國(guó)家自然科學(xué)基金面上項(xiàng)目，“關(guān)聯(lián)遙感與站點(diǎn)觀測(cè)數(shù)據(jù)的多尺度地表參數(shù)反演”，參與，已結(jié)題 

7. 國(guó)家自然科學(xué)基金面上項(xiàng)目，“耦合遙感瞬間模型與過(guò)程模型的地表參數(shù)反演”，參與，已結(jié)題

[1].Zhang, G., Zhou, H.*, Wang, C., Xue, H., Wang, J., & Wan, H. (2020). Forecasting Time Series Albedo Using NARnet Based on EEMD Decomposition. IEEE Transactions on Geoscience and Remote Sensing, 1–14. doi:10.1109/tgrs.2019.2958048? 

[2]. Zhou, H.*; Liang, S.; He, T.; Wang, J.; Bo, Y.; Wang, D. Evaluating the Spatial Representativeness of the MODerate Resolution Image Spectroradiometer Albedo Product (MCD43) at AmeriFlux Sites. Remote Sensing 2019, 11, 547. 

[3]. Zhang, G., Zhou, H.*, Wang, C., Xue, H., Wang, J., & Wan, H. (2019). Time Series High-Resolution Land Surface Albedo Estimation Based on the Ensemble Kalman Filter Algorithm. Remote Sensing, 11(7), 753. 

[4]. Zhou, H.*, Wang, J., Liang, S., "Design of a Novel Spectral Albedometer for Validating the MODerate Resolution Imaging Spectroradiometer Spectral Albedo Product." Remote Sensing 10.1 (2018): 101. 

[5]. Zhou, H.*, Wang, J., Liang, S., Xiao, Z., (2017). Extended Data-Based Mechanistic Method for Improving Leaf Area Index Time Series Estimation with Satellite Data. Remote Sensing, 9(6), 533. 

[6]. Wang, J., Wang, J. D.,*; Shi, Y., Zhou, H., Liao, L., ?A Recursive Update Model for Estimating High-Resolution LAI Based on the NARX Neural Network and MODIS Times Series.?Remote Sens.?2019,?11（5）, 219.? 

[7]. Yan, G., Tong, Y., Yan, K., Mu, X., Chu, Q., Zhou, Y., ... & Zhou, H. (2018). Temporal extrapolation of daily downward shortwave radiation over cloud-free rugged terrains. Part 1: Analysis of topographic effects. IEEE Transactions on Geoscience and Remote Sensing, (99), 1-20. 

[8]. Tian, L., Wang, J. D., Zhou, H., Wang, J., (2018) Automatic detection of forest fire disturbance based on dynamic modelling from MODIS time-series observations, International Journal of Remote Sensing, 39:12, 3801-3815, DOI: 10.1080/01431161.2018.1437294 2018年3月15日online 

[9]. Jian Wang, Jindi Wang, Hongmin Zhou, Zhiqiang Xiao, (2017). Detecting Forest Disturbance in Northeast China from GLASS LAI Time Series Data Using a Dynamic Model. Remote Sensing, 9, 1293 10. Gao, S., Liu, X., Bo, Y., Shi, Z., Zhou, H. (2019). Rubber Identification Based on Blended High Spatio-Temporal Resolution Optical Remote Sensing Data: A Case Study in Xishuangbanna. Remote Sensing, 11(5), 496.