首页- 师资队伍- 校内教师- 按姓氏- Z
校内教师
周 磊

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任职经历
科学研究
学术论文
教材专著
专利著作权
奖励荣誉
讲授课程
研究生培养
任职经历

1、工作经历
1) 2021.12—至今,15vip太阳集团,15vip太阳集团,教授(破格)
2) 2019.8-2020.8,University of Illinois at Urbana-Champaign (UIUC), School of Earth, Society and Environment. Visiting Scholar.
3) 2017.5—2021.12,15vip太阳集团,15vip太阳集团,副教授
4) 2011.7—2017.4,中国环境监测总站,环境质量综合评价室,高级工程师
5) 2016.11.6 - 2016.11.19,Department of Geography and planning, Queen’s University, Canada. Visiting Researcher.
6) 2018.8,The Martin Centre for Architectural and Urban Studies, University of Cambridge, England, Visiting Researcher.
2、教育经历
1) 2008.9 - 2011.7,理学博士,北京师范大学,地图学与地理信息系统
2) 2005.9 - 2008.7,工学硕士(推免),中国石油大学(华东),地图制图学与地理信息工程
3) 2001.9 - 2005.7,理学学士,中国石油大学(华东),地理信息系统
3、学术兼职
1) International journal of Earth & Environmental Science 国际期刊编委
2) Science of total environment、International journal of remote sensing、光谱与光谱分析、环境科学研究等国际国内主流期刊审稿人。
3) 国家自然科学基金项目评审专家
科学研究

主持项目
1、国家自然科学基金面上项目:集成复杂网络特征参量的干旱时空传播模型研究,2021-2024
2、国家重点研发计划子课题:建筑垃圾精准管控技术与示范-建筑垃圾天地一体化快速识别技术体系与监测系统,2019-2021
3、国家自然科学基金项目:区分复杂时空特征差异的干旱定量综合监测模型研究项目编号:41501556,2016.1~2018.12
4、北京市教委科技计划一般项目:基于时空数据挖掘的近地面PM2.5浓度模拟研究,2019-2020.
5、应急管理部国家自然灾害防治研究院委托:多源干旱指数数据处理与计算,2022-2023.
6、大连市生态环境事务服务中心委托:水生态遥感监测指标自动化提取研发项目,2022-2022.
7、开放研究基金:长江流域旱灾监测及其环境影响评价,项目编号:CKWV2012320/KY,2012.9~2014.8
8、中国环境监测总站委托课题:“十二五”国家环境空气质量监测点位图集编制,2017
9、中国科学院地理所委托课题:柴达木盆地盐碱地水土资源分析评估,2017
参与项目
1、国家自然科学基金面上项目:面向城市建筑系统代谢优化模拟的建筑垃圾遥感精准识别,课题编号:42271478,2023-2026
2、国家重点研发计划专题:大范围干旱监测预报与灾害风险防范技术和示范-高精度多源资料综合干旱监测和评估技术,课题编号:2017YFC1502402,2018-2021
3、国家国际科技合作专项:重大干旱灾害监测技术合作研究,项目编号:2013DFG21010,2013.4~2016.3
4、国家自然科学基金:基于作物生长过程模拟的区域农业干旱监测方法研究,项目编号:41171403,2012.1~2015.12
5、地理国情监测项目:京津冀一体化发展重要地理国情监测项目,项目编号:GJ201503,2014.1~2016.12
6、高分辨率对地观测系统重大专项:高分环境地基监测数据库研发和京津冀示范区应用示范,项目编号:05-Y30B02-9001-13/15-12,2012.9~2015.6
7、国家高技术研究发展计划(863计划):干旱监测前沿技术与遥感模型集成研究,项目编号:2006AA12Z142,2008.7~2010.6
8、信息系统建设项目:中国环境监测总站环境监测数据平台项目,2011.12~2015.12
9、水体污染控制与治理科技重大专项:全国富营养化区域差异性调查及其演化规律研究,项目编号:2009ZX07106-001-001,2009.1~2010.12
10、林业行业科研专项:森林对PM2.5等颗粒物的调控功能与技术研究,项目编号:201304301,2013.9~2016.7
学术论文

国际期刊论文
[1] C. Zhang, L. Zhou, M. Du, K. Yang, and T. Luo, "A cross-channel multi-scale gated fusion network for recognizing construction and demolition waste from high-resolution remote sensing images," Int. J. Remote Sens., vol. 43, no. 12, pp. 4541-4568, 2022/06/18 2022, doi: 10.1080/01431161.2022.2115864.
[2] Zhou, L.; Zhu, Y.; Du, M.; Wang, S.; He, C.; Luo, T.; Wu, J.; Zhang, J.; Yang, K. The Long-Time Variation of Lake in Typical Desert Area and Its Human and Climate Change Causes: A Case Study of the Hongjian Nur. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021, 14, 416-425, doi:10.1109/JSTARS.2020.3044571.
[3] Zhou, L.; Wang, S.; Du, M.; Chen, Q.; He, C.; Zhang, J.; Zhu, Y.; Gong, Y. The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China. Remote Sensing 2021. 13(5): p. 875.
[4] Zhou, L.; Luo, T.; Du, M.; Chen, Q.; Liu, Y.; Zhu, Y.; He, C.; Wang, S.; Yang, K. Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine. Remote Sensing 2021, 13, 787.
[5] Zhou, L.; Wang, Y.; Du, M.; Jing, C.; Wang, S.; Zhu, Y.; Luo, T.; He, C.; Gao, T.; Yang, K. Optimization of Seasonal Geographically and Temporally Weighted Regression Model for Accurate Estimation of Seasonal PM2.5 Concentrations in Beijing–Tianjin–Hebei Region. Sensors and Materials 2020, 32, 4393-4412, doi:https://doi.org/10.18494/SAM.2020.3077.
[6] Zhou, L.; Wang, S.; Du, M.; Yang, J.; Zhu, Y.; Wu, J. An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis. ISPRS International Journal of Geo-Information 2020, 9, 364.
[7] Wang Y., Du M., Zhou L.*, Cai G., Bai Y. A Novel Evaluation Approach of County-Level City Disaster Resilience and Urban Environmental Cleanliness Based on SDG11 and Deqing County’s Situation. Sustainability, 11(20): pp 5713, 2019. (Corresponding Authour, SCI)
[8] Zhou, L.*; Wu, J.; Mo, X.; Zhou, H.; Diao, C.; Wang, Q.; Chen Y.; Zhang F. Quantitative and detailed spatiotemporal patterns of drought in China during 2001–2013. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2017.02.202.
[9] Zhou, L.; Wu, J.; Zhang, J.; Leng, S.; Liu, M.; Zhao, L.; Zhang, F.; Shi, Y. The integrated surface drought index (isdi) as an indicator for agricultural drought monitoring: Theory, validation, and application in mid-eastern china. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2013, 6, 1254-1262.
[10] Zhou, L.; Zhang, J.; Wu, J.; zhao, L.; Liu, M.; LÜ, A.; wu, Z. Comparison of remote sensed and meteorological data derived drought indices in mid-eastern china. International Journal of Remote Sensing 2012, 33, 1755-1779. (Win the Len Curtis Award by Taylor & Francis and The Remote Sensing and Photogrammetry Society present for the best scientific paper pubulished in the open literature of remote sensing during the year 2012)
[11] Zhou, L.; Lyu, A. Investigating natural drivers of vegetation coverage variation using modis imagery in qinghai, china. J. Arid Land 2016, 8, 109-124.
[12] Lv, A.*; Zhou, L*. A rainfall model based on a geographically weighted regression algorithm for rainfall estimations over the arid qaidam basin in china. Remote Sensing 2016, 8, 311. (Co first author, SCI)
[13] Wu, J.; Zhou, L.*; Mo, X.; Zhou, H.; Zhang, J.; Jia, R. Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI). International Journal of Applied Earth Observation and Geoinformation, 2015, 41(0): pp 23-33.
[14] Wu, J.; Zhou, L.*; Liu, M.; Zhang, J.; Leng, S.; Diao, C. Establishing and assessing the integrated surface drought index (isdi) for agricultural drought monitoring in mid-eastern china. International Journal of Applied Earth Observation and Geoinformation 2013, 23, 397-410.
[15] Zhang, F.; Liu, X.; Zhou, L.; Yu, Y.; Wang, L.; Lu, J.; Wang, W.; Krafft, T. Spatiotemporal patterns of particulate matter (pm) and associations between pm and mortality in shenzhen, china. BMC Public Health 2016, 16, 1-11.
[16] Li, M.; Ren, X.; Zhou, L.; Zhang, F. Spatial mismatch between pollutant emission and environmental quality in china — a case study of nox. Atmospheric Pollution Research 2016, 7, 294-302.
[17] Zhang, J.; Wu, J.; Zhou, L. Deriving vegetation leaf water content from spectrophotometric data with orthogonal signal correction-partial least square regression. International Journal of Remote Sensing. 2011, 32(22): 7557-7574.
[18] Wu, J.; He, B.; Lue, A.; Zhou, L.; Liu, M.; Zhao, L. Quantitative assessment and spatial characterristics analysis of agricultural drought vulnerability in china. Natural Hazards 2011, 56, 785-801.
[19] Wu, J.; Zhang, J.; Lue, A.; Zhou, L. An exploratory analysis of spectral indices to estimate vegetation water content using sensitivity function, Remote Sensing Letters. 2012, 3(2): 161-169
[20] Zhang, F.; Krafft, T.; Ye, B.; Zhang, F.; Zhang, J.; Luo, H.; Li, M.; Zhang, Y.; Zhou, L.; Xu, J., et al. The lag effects and seasonal differences of air pollutants on allergic rhinitis in Beijing. Science of The Total Environment, 2013, 442(0): 172-176.
[21] Wang S., Li G., Gong Z., Du L., Zhou Q., Meng X., Xie S., Zhou L. Spatial distribution, seasonal variation and regionalization of PM2.5 concentrations in China. Science China (Chemistry), 2015, 58(9): pp 1435-1443.
国际会议论文:
[22] Yani, W.; Siyu, W.; Lei, Z.*; Qiang, C.; Mingyi, D.; Changfeng, J.; Ming, L.; Yang, L. Estimation of PM2.5 Concentration in Beijing-Tianjin-Hebei Region Through Global Resolved Datasets. In Proceedings of IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 28 July-2 Aug. 2019, Piscataway, NJ, USA; pp. 7439-7442.
[23] Zhou L., Fu J., Wu J., Han X., Chen Q., Du M., Jing C. Integrated surface drought index (ISDI) application in China for drought monitoring. 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, July 22, 2018 - July 27, 2018. 2018. pp 7775-7778. Valencia, Spain. (EI)
[24] Zhou, L. et al. Daily rainfall model to merge TRMM and ground based observations for rainfall estimations, Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, 10-15 July 2016, 2016; pp 601-604. (EI)
[25] Zhou, L. et al. The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield, Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 13-18 July 2014, 2014; pp 2050-2053. (EI)
[26] Zhou, L. et al., 2013. Evaluation of integrated surface drought index (ISDI) via precitpitation data and soil moisture, IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia. (EI)
[27] Zhou, L. et al., 2012. Using a new integrated drought monitoring index to improve drought detection in mid-eastern China, IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany. (EI)
[28] Zhou, L. Wu, J. Zhang, J. et al., Assessing the drought monitoring characteristic of time-series NDVI indices in crop growing season, in 2010 IEEE International Geoscience and Remote Sensing Symposium. July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
[29] Wu, J. Zhou, L.*, Zhang, J. et al., Analysis of Relationships among Vegetation Condition Indices and Multiple-time Scale SPI of Grassland in Growing Season, in The 18th International Conference on Geoinformatics. June 18-20, 2010: Beijing, China. (Corresponding Authour , EI)
[30] Zhang, J. Wu, J. Zhou, L. Retrieval of fuel moisture content from hyperspectral data via partial least square, in 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
[31] Zhang, J. Wu, J. Zhou, L. Estimation of vegetation equivalent water thickness using hyperspectral data and partial least square regression, in The 18th International Conference on Geoinformatics. June 18-20, 2010: Beijing, China. (EI)
[32] Wu, J. Zhang, J. Zhou, L. Jianliang Nie. Performance evaluation of spectral indices to estimate equivalent water thickness, in 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
中文期刊论文:
[1] 周磊, 等, 柴达木盆地土壤盐渍化程度快速动态监测. 测绘科学, 2021. 46(07): p. 99-106+114. (CSCD)
[2] 祝一诺;高婷;王术东;周磊*;杜明义等. 基于迁移学习再训练模型和高分遥感数据的建筑垃圾自动识别方法, 遥感技术与应用. (CSCD)
[3] 周磊, 武建军, 贾瑞静, 等, 京津冀PM2.5时空分布特征及其污染风险因素, 环境科学研究, 2016, 29, (4): 483-493. (CSCD)
[4] 周磊, 武建军, 张洁. 以遥感为基础的干旱监测方法研究进展. 地理科学, 2015, 35(5): 630-636. (CSCD)
[5] 周磊, 武建军, 吕爱锋等, 华北不同地表覆盖类型区干旱演变特征分析. 地理研究, 2012. 31(4): p. 597-607. (CSCD)
[6] 周磊, 樊彦国, 武建军等, 基于MAPGIS的安泽县地形图库管理系统的设计实现. 测绘科学. 2009, 34(增刊): 127-129. (CSCD)
[7] 李名升, 任晓霞, 于洋, 周磊*, 中国大陆城市PM2.5污染时空分布规律, 中国环境科学, 2016, 36, (3): 641-650. (责任作者,EI(20161602262675))
[8] 刘大川, 周磊, 武建军. 干旱对华北地区植被变化的影响. 北京师范大学学报(自然科学版), 2017, 53(2): 222-228. (CSCD)
[9] 吕爱锋, 周磊, 朱文彬. 青海省土地荒漠化遥感动态监测. 遥感技术与应用. 2014, 29, 803-811. (CSCD)
[10] 李名升, 周磊, 陈远航, 等. 经济结构调整的污染减排效应: 以COD减排为例. 环境科学. 2014, 35(8): 3212-3218. (CSCD)
[11] 樊彦国, 周磊, 李瑞华. 对地图代数的几点认识. 山东理工大学学报. 2006, 20(7): 10-13. (CSCD)
[12] 冷松, 武建军, 周磊. 利用多波段遥感干旱监测方法研究. 干旱区资源与环境, 2013, 27, (2), pp. 102-107. (CSCD)
[13] 李名升, 任晓霞, 周磊, 等. 中国大气SO2 污染与排放的空间分离分析. 环境科学学报, 2013, 33(4): 1150-1157. (CSCD)
[14] 张洁, 武建军, 周磊, 等. 基于MODIS数据的农业干旱监测方法对比分析. 遥感信息, 2012, 27(5): 48-54. (CSCD)
[15] 李名升, 张建辉, 张殷俊, 周磊, 等. 近10年中国大气PM10污染时空格局演变. 地理学报, 2013, 68(11):1504-1512. (CSCD)
[16] 林兰钰, 张建辉, 周磊, 等. 2008-2013年全国地表水高锰酸盐指数污染特征分析. 中国环境监测.2014, 30(5): 48-51. (CSCD)
[17] 何斌, 赵林, 刘明, 周磊. 湖南省农业旱灾风险综合分析与定量评价. 安徽农业科学, 2010, 38(3): 1559-1562. (CSCD)
[18] 聂建亮, 武建军, 杨曦, 刘明, 张洁, 周磊. 基于地表温度-植被指数关系的地表温度降尺度方法研究. 生态学报, 2011, 31(17): 4961-4969. (CSCD)
[19] 林兰钰, 罗海江, 李茜, 张凤英, 周磊, 等. 流域污染分异特征及成因分析. 中国环境监测. 2015, 31(2): 57-63. (CSCD)
教材专著

[1] 周磊 等著. 地球空间大数据云计算平台(GEE)基础与实践教程. 武汉:武汉大学出版社. 2022.
[2] 周磊 著. 集成多源数据的干旱综合监测方法. 北京:中国水利水电出版社. 2019.10.
[3] 樊彦国等. 土地开发整理技术及应用. 东营: 中国石油大学出版社, 2007.
[4] 《2011中国环境质量报告》. 北京: 中国环境科学出版社. 2012.12. (编辑)
[5] 《2012中国环境质量报告》. 北京: 中国环境科学出版社. 2013.12. (编委)
[6] 《2013年中国环境质量报告》. 北京:中国环境出版社, 2014. (编委)
[7] 《2014年中国环境质量报告》. 北京:中国环境出版社, 2015. (编委)
专利著作权

发明专利:
[1] 周磊 等. 预测颗粒物浓度的方法、装置、存储介质及电子设备. 201910882735.4
[1] 周磊,罗婷等. 基于机器学习的建筑垃圾分类方法及装置. 20190856646.2
[2] 周磊 等. 地表水水质数据粗误差筛查方法及装置. 201610899743.6.
[3] 武建军, 周磊, 刘明. 干旱监测卫星的搜索方法. 2009100883117.
国家标准:
《近岸海域环境监测点位布设技术规范》(HJ730-2014). 第七完成人。
《建筑垃圾遥感快速识别技术规程》(T/CECS 1164-2022). 第三完成人。
软件著作权:
地理加权模型统计分析系统[简称:GWR系统]. 2019SR0800516.
干旱遥感监测模型集成系统[简称:[DMIS]. 2009SR059223.
奖励荣誉

[1] 2012年:The Len Curtis Award by Taylor & Francis and The Remote Sensing and Photogrammetry Society present for the best scientific paper pubulished in the open literature of remote sensing during the year 2012;
[2] 2016年:中国地理信息产业优秀工程,银奖,第三完成人;
[3] 2018年:全国大学生GIS应用技能大赛优秀指导教师;
[4] 2018年:15vip太阳集团优秀班主任;
[5] 2019年:第十二届校级青年教师教学基本功比赛三等奖;
[6] 2019年:第五届全国高等学校GIS青年教师讲课竞赛二等奖;
[7] 2021年:北京青年优秀科技论文奖;
讲授课程

《地理信息系统原理(双语)》,本科;
《地理信息系统原理实习》,本科;
《空间分析与建模》本科;
《空间分析与建模实习》本科;
《GIS基础应用技能》本科;
《测绘与地理信息系统前沿》本科;
《地理信息系统原理与应用》实习,本科;
《电子地图与导航》,本科;
《地图设计与编绘》,本科;
研究生培养

培养硕士研究生13人,目前在读研究生9人,毕业4人。
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