个人信息简介 姓名：曹鑫
学历：博士
职称：副教授
邮箱：caoxin@bnu.edu.cn

教育经历
1998.09~2002.07 北京师范大学资源与环境科学系（现地理学与遥感科学学院），资源环境区划与管理专业，获理学学士学位
2002.09~2005.07 北京师范大学资源学院，地图学与地理信息系统专业硕士研究生，获理学硕士学位
2005.10~2008.09 日本名古屋大学工学研究科，社会基盘专攻（Civil Engineering）博士研究生，获工学博士学位

工作经历
2008.10~2009.11 日本名古屋大学环境学研究科，项目研究员（博士后）
2009.12~2010.06 北京师范大学地表过程与资源生态国家重点实验室，讲师
2010.07~ 北京师范大学地表过程与资源生态国家重点实验室，副教授

承担课程
遥感模型与地学应用，研究生课程，2学分

科研项目
1 国家自然科学基金面上项目“干旱/半干旱草原灌丛化遥感动态监测与模拟研究”（**，2016.1-2019.12）
2 国家自然科学基金青年项目“灌木扩张背景下的干旱/半干旱草原灌草混合景观植被盖度遥感反演研究”（**，2013.1-2015.12）
3 863计划重点项目“全球生态系统与表面能量平衡特征参量生产与应用”（2013AA121202）子课题“地表覆盖变化检测与自动化更新技术研究”，（2013.12~2016.12）

著作论文
[1]Xu, F., Cao, X.*, Chen, X., Somers, B. Mapping impervious surfacefractions using automated Fisher transformed unmixing. Remote Sensing of Environment, 2019, 232, 111311.
[2]Cao, X., Hu, Y., Zhu, X., Shi, F.,Zhuo, L., Chen, J. A simple self-adjusting model for correcting the bloomingeffects in DMSP-OLS nighttime light images. Remote Sensing of Environment,2019, 224, 401-411.
[3]Cao, X.*, Liu, Y., Cui, X., Chen,J., Chen, X. Mechanisms, monitoring and modeling of shrub encroachment into grassland:a review. International Journal of Digital Earth, 2019, 12(6), 625-641.
[4]Cao, X., Liu, Y., Liu, Q., Cui, X.,Chen, X., Chen, J. Estimating the age and population structure of encroaching shrubs in arid/semi arid grasslands using high spatial resolution remote sensing imagery. Remote Sensing of Environment, 2018, 216, 572-585.
[5]Chen J, Cao X, Peng S, Ren H. Analysis and Applications of GlobeLand30: A Review. ISPRS International Journal of Geo-Information, 2017, 6(8),230; doi:10.3390/ijgi**.
[6]Cao X, Chen X, Zhang W, et al.Global cultivated land mapping at 30 m spatial resolution. SCIENCE CHINA Earth Sciences, 2016, 59(12), 2275-2284.
[7]Liu M, Cao X*, Li Y, et al. Method for land cover classification accuracy assessment considering edges. SCIENCE CHINA Earth Sciences, 2016, 59(12),2318-2327.
[8]Chen X, Cao X*, Liao A, et al. Global mapping of artificial surfacesat 30-m resolution. SCIENCE CHINA Earth Sciences, 2016, 59(12), 2295-2306.
[9] Wang, J., Cao, X.*, Chen, J., Jia, X. Assessmentof multiple scattering in the reflectance of semiarid shrublands. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(9), 4910-4921.
[10] Cao, X.,Chen, J., Chen, L., et al. Preliminary analysis of spatio-temporal pattern of globalland surface water, Science China: Earth Sciences, 2014, 57 (10), 2330–2339.
[11] Cao, X.*, Wang, J., Chen, J., Shi, F. Spatialization of electricity consumption of China using saturation-correctedDMSP-OLS data. International Journal of Applied Earth Observation and Geoinformation, 2014, 28, 193-200.
[12] Cao, X.*, Cui, X., Yue, M., Chen,J., Tanikawa, H., Ye, Y. Evaluation of wildfire propagation susceptibility ingrasslands using burned areas and multivariate logistic regression. International Journal of Remote Sensing, 2013, 34 (19), 6679-6700.
[13] Yin, D., Cao, X.*, Chen, X., Shao, Y.,Chen, J. Comparison of automatic thresholding methods for snow-cover mappingusing Landsat TM imagery. International Journal of Remote Sensing, 2013, 34(19), 6529-6538.
[14] Onishi, A., Cao, X.*, Ito, T., Shi, F.,Chen, J. Imura, H. Evaluating the potential for urban heat-island mitigation bygreening parking lots. Urban Forestry & Urban Greening, 2010, 9 (4),323-332.
[15] Cao, X., Onishi, A.,Chen, J., Imura, H. Quantifying the cool island intensity of urban parks usingASTER and IKONOS data. Landscape and Urban Planning, 2010, 96, 224-231.
[16] Cao, X., Chen, J., Matsushita, B.,Imura, H. Developing a MODIS-based index to discriminate dead fuel fromphotosynthetic vegetation and soil background in the Asian steppe area. International Journal of Remote Sensing,2010, 31 (6), 1589-1604.
[17] Cao, X., Chen, J., Imura, H.,Higashi, O. A SVM-basedmethod to extract urban areas from DMSP-OLS and SPOTVGT data. Remote Sensing of Environment, 2009, 113, 2205-2209.
[18] Cao, X., Chen, J., Matsushita, B.,Imura, H., Wang, L. An automatic methodfor burn scar mapping using support vector machines. International Journal of Remote Sensing, 2009, 30 (3), 577-594.

重要奖项
[1] 2017年度国家科学技术进步奖二等奖“全球30米地表覆盖遥感制图关键技术与产品研发”，排名第5
[2] 2016-2017年度神农中华农业科技奖一等奖“牧场监测管理数字技术研究与应用”，排名第10
[3] 2015年测绘科技进步奖特等奖“全球30米地表覆盖遥感制图关键技术研究与产品研制”，排名第6
[4] 2016年北京市科学技术奖三等奖“服务于土地利用/土地覆盖变化检测的遥感方法研究”，排名第4
[5] 2013年测绘科技进步奖二等奖“全球30米多光谱遥感影像几何和光谱高精度重建关键技术及应用”，排名第3