个人简介

曹春香，中国科学院空天信息创新研究院研究员、中国科学院大学教授、博士生导师，中国科学院空天信息创新研究院公共卫生领域空间信息技术应用研究中心执行主任，兼任国家重点研发计划评委、863地球观测与导航技术领域重大项目总体专家组专家、国家湿地研究中心理事、中国湿地保护协会理事、中国国际商会投资委员会科学顾问、国家沙漠公园评审专家委员会委员 、国家湿地科学技术专家委员会委员、中国卫生信息学会卫生地理信息系统专业委会等国家级专业委员会委员；担任《Geomatics Natural Hazards & Risk》、《International Journal of Remote Sensing》、《BMC Infectious Diseases》、《Frontiers of Earth Science》等国际学术期刊编委或特邀审稿、《中国植物保护百科全书》编委等；曾受邀到美国哈佛大学、伯克利大学、波士顿大学、查普曼大学、圣何塞大学和日本大阪市立大学访问；曾担任中国科学院遥感应用研究所科技处处长、遥感科学国家重点实验室环境健康遥感研究室主任等。

2000年由中国科学院以优秀人才引进回国后，基于上世纪中国经济发展与生态文明建设的响应关系，面向互联网、物联网快速发展的同时必须重视环境健康问题的需求，提出了环境健康遥感诊断适时把握环境动态变化的理念，并于2011年面向全球正式提出了环境健康遥感诊断交叉学科方向, 并在中国科学院大学开创了《环境健康遥感诊断》博士精品课程。

2003年联合军事医学科学院创立公共卫生领域空间信息技术应用研究中心以来，不遗余力地推动科技成果的推广与应用，与地方合作共建了分布于全国的10个便于国产卫星数据及遥感技术应用推广的“公共卫生领域空间信息技术应用研究中心” 分中心，为人才培养/培训构筑了虚拟现实平台；共主办了10次“环境健康遥感诊断国际学术研讨会”及参与组织了多个国际会议的专题，为行业部门等培训遥感诊断技术人才3000余人；共发表论文300余篇，其中SCI检索论文100余篇；主持或参与国家重大专项、973计划、863计划、国防科工局项目与课题及国家自然科学基金项目、行业公益专项等40余项；获软件著作权 11项，申请及获得专利14项；出版专著或合著《环境健康遥感诊断》、《环境健康遥感诊断指标体系》、《环境健康遥感诊断关键技术》、《环境健康遥感诊断系统》、《环境健康遥感诊断典型应用》、《中国国际重要湿地生态系统评价》、《森林地上生物量遥感诊断》、《典型脆弱区生态环境评价》、《中国湿地资源总卷》和《强震应急与次生灾害防范》共9本；为本领域培养了国际通用型人才70余名硕博/实习生。

2007年开始，曹春香研究员自筹资金，合力社会资源等在单数年里已经连续完成了8次“毛乌素沙地的星地同步”的遥感科学实验，为荒漠化遥感诊断获得了第一手的时间系列数据；2017年作为国家谈判团成员代表中国参加了UNCOOP-13的荒漠化防治缔约方大会，并在会上获得了联合国颁发的“一带一路先锋奖”。

她还积极投身于社会公益事业，除了每年带领团队向“太阳村”捐助衣物及学习用品等外，还在2012年被中国妇的中国妇女活动中心联授予了“第十二届新世纪女性健康生活公益活动形象大使”称号，为中国环境健康遥感事业做出了应有贡献。

     学历

• ¬ 1996.0 – 2000.03  日本国广岛大学院生物圏科学研究科（环境计划遥感） 获博士学位
• ¬ 1994.04 – 1996.03日本国京都府立大学农学部林学研究科 获硕士学位
• ¬ 1982.09 – 1986.07 内蒙古农业大学林学系 获学士学位

工作经历

• ¬ 2003年至今 公共卫生空间信息技术应用研究中心 执行主任
• ¬ 2013-03-2019-03 中国科学院遥感与数字地球研究所 遥感科学国家重点实验室 环境健康遥感研究室主任
• ¬ 2012-04~2013-03中国科学院遥感与数字地球研究所 创新研究员
• ¬ 2008-01~2012-04中国科学院遥感应用研究所 创新研究员
• ¬ 2000-01~2008-12 中国科学院遥感应用研究所 项目研究员
• ¬ 1986-08~1993-03 内蒙古呼和浩特市赛汗区林业局 工程师

党内及群众团体任、兼职情况

• ¬ 2013-03-2017-08 中国科学院遥感与数字地球研究所遥感科学国家重点实验室第二党支部 支部
• ¬ 2007-01–2011-01 中国科学院遥感应用研究所研究室一支部 支部
• ¬ 2007-06–2012-09 中国科学院遥感应用研究所分工会主席
• ¬ 2007-05–2011-09 中国科学院遥感应用研究所第五届职代会代表
• ¬ 2003-06—2007-06 中国科学院遥感应用研究所第四届职代会代表
• ¬ 1986-12—1993-03 内蒙古呼和浩特市赛汗区林业局党支部宣传委员

出版专著

1. 李小文，黄瑞秋，曹春香等编著，《强震应急与次生灾害防范》，中国科学技术出版社，2012年12月
2. 曹春香著，《环境健康遥感诊断》，科学出版社，2013年1月
3. 曹春香等，《森林地上生物量遥感诊断》，科学出版社，2015年10月
4. 马广仁，鲍达明，曹春香等编著，《中国国际重要湿地生态系统评价》，科学出版社，2016年9月
5. 马广仁，鲍达明，…，曹春香编写《中国湿地资源总卷》，中国林业出版社,2015年12月
6. 曹春香等，《环境健康遥感诊断指标体系》，科学出版社，2017年6月
7. 曹春香等，《环境健康遥感诊断关键技术》，科学出版社，2017年12月
8. 曹春香等，《典型脆弱区生态环境综合评价》，科学出版社，2017年12月
9. 曹春香等，《环境健康遥感诊断系统》，科学出版社，2018年12月
10. 张煜星，…，曹春香等《三峡库区森林及生态效益监测与评估研究》，科学出版，2018年12月。
11. 张兵， …，曹春香等编. 《从天空看地球－对地观测大装置》，科学出版社，2019
12. Cao.CX, et al. Environmental remote sensing in flooding areas. Higher education press & Springer, 2020.
13. 曹春香等，《环境健康遥感诊断典型应用》，科学出版社，2020年7月
14. 曹春香等，《“树流感”爆发风险遥感诊断》，中国林业出版社，2021年5月
15. 方荣祥,…,曹春香等， 《中国植物保护百科全书-综合卷》，中国林业出版社， 2022年6月

发表期刊论文

[119].Xu M, Cao C, Zhong S, et al. Ecological vulnerability assessment and spatial-temporal variations analysis in typical ecologically vulnerable areas of China. Frontiers in Ecology and Evolution, 2024, 12: 1406444.

[118].Yang Y, Wang Z, Cao C, et al. Estimation of pm2. 5 concentration across china based on multi-source remote sensing data and machine learning methods. Remote Sensing, 2024, 16(3): 467.

[117].Li J, Cao C, Xu M, et al. A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China. Remote Sensing, 2023, 15(24): 5716.

[116].Gao X, Cao C, Xu M, et al. Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China. Ecological Indicators, 2023, 157: 111199.

[115].Huang Z, Cao C, Xu M, et al. Impact of Environmental Exposure on Chronic Diseases in China and Assessment of Population Health Vulnerability. ISPRS International Journal of Geo-Information, 2023, 12(4): 155.

[114].Guo H, Cao C, Xu M, et al. Spatiotemporal Distribution Pattern and Driving Factors Analysis of GPP in Beijing-Tianjin-Hebei Region by Long-Term MODIS Data. Remote Sensing, 2023, 15(3): 622.

[113].Wang K, Cao C, Xie B, et al. Analysis of the Spatial and Temporal Evolution Patterns of Grassland Health and Its Driving Factors in Xilingol. Remote Sensing, 2022, 14(20): 5179.

[112].Xie B, Cao C, Xu M, et al. Improved forest canopy closure estimation using multispectral satellite imagery within Google Earth Engine. Remote Sensing, 2022, 14(9): 2051.

[111].Xu M, Cao C, Guo H, et al. Exploring the association between infectious diarrheal diseases and sea suce temperatures—coastal areas of China, 2009–2018. China CDC Weekly, 2022, 4(7): 126.

[110].Xie B, Cao C, Xu M, et al. Analysis of regional distribution of tree species using multi-seasonal sentinel-1&2 imagery within google earth engine. Forests, 2021, 12(5): 565.

[109].Xu M, Cao C, Zhang X, et al. Fine-scale space-time cluster detection of COVID-19 in Mainland China using retrospective analysis. International Journal of Environmental Research and Public Health, 2021, 18(7): 3583.

[108].Chen Y, Cao C, Cao Y, et al. Observed evidence of the growing contributions to aerosol pollution of wildfires with diverse spatiotemporal distinctions in China. Journal of Cleaner Production, 2021, 298: 126860.

[107].Ni X, Xu M, Cao C, et al. Forest height estimation and change monitoring based on artificial neural network using Geoscience Laser Altimeter System and Landsat data. Journal of Applied Remote Sensing, 2020, 14(2): 022207-022207.

[106].Xiaojuan Lin,Min Xu, Chunxiang Cao,Yongfeng Dang,Barjeece Bashir,Bo Xie, Zhibin Huang. Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry. Remote Sensing. 2020,21(12).

[105].Bashir, Barjeece; Cao, Chunxiang; Joharestani, Mehdi Zamani; Bo, Xie; Mumtaz, Faisal. Spatio-Temporal Vegetation Dynamic and Persistence under Climatic and Anthropogenic Factors. Remote Sensing. 2020,12(16).

[104].Min Xu, Chunxiang Cao, Peng Jia. Mapping Fine-Scale Urban Spatial Population Distribution Based on High-Resolution Stereo Pair Images, Points of Interest, and Land Cover Data. Remote Sensing. 2020, 12(4), 608.

[103].Bo Xie, Chunxiang Cao, Min Xu, Barjeece Bashir, Ramesh P. Singh, Zhibin Huang and Xiaojuan Lin. Regional Forest Volume Estimation by Expanding LiDAR Samples Using Multi-Sensor Satellite Data. Remote Sensing. 2020, 12(3), 360.

[102].Zhibin Huang, Chunxiang Cao, Wei Chen, Min Xu, Yongfeng Dang, Ramesh P. Singh, Barjeece Bashir, Bo Xie and Xiaojuan Lin. Remote Sensing Monitoring of Vegetation Dynamic Changes after Fire in the Greater Hinggan Mountain Area: The Algorithm and Application for Eliminating Phenological Impacts. Remote Sensing. 2020, 12(1), 156.

[101].Xiliang Ni, Min Xu, Chunxiang Cao, Wei Chen, Bin Yang, Bo Xie. Forest height estimation and change monitoring based on artificial neural network using Geoscience Laser Altimeter System and Landsat data. Journal of Applied Remote Sensing. 2019, 14(2): 1931-3195.

[100].Xie, Bo, Chunxiang Cao, Wei Chen, and Bing Yu. Prediction and Analysis of the Potential Risk of Sudden Oak Death in China. Journal of Forestry Research, 2019,30, 2357–2366.

[99].Acharya, B. K.; Chen, W.; Ruan, Z.; Pant, G. P.; Yang, Y.; Shah, L. P.; Cao, C. X.; Xu, Z.; Dhimal, M.; Lin, H. L.， Mapping Environmental Suitability of Scrub Typhus in Nepal Using MaxEnt and Random Forest Models，International Journal of Environmental Research and Public Health，2019，16, 4845.

[98]. Min Xu, Haibing Xiang, Hongquan Yun, Xiliang Ni, Wei Chen, Chunxiang Cao. Retrieval of forest canopy height jointly using airborne LiDAR and ALOS PALSAR Data. Journal of Applied Remote Sensing. 2019, 14(2).

[97]. Xiliang Ni, Min Xu, Chunxiang Cao, Wei Chen, Bin Yang, Bo Xie. Forest height estimation and change monitoring based on artificial neural network using Geoscience Laser Altimeter System and Landsat data. Journal of Applied Remote Sensing. 19, 14(2).

[96].Yang Tianyu, Cao Chunxiang, Guo Jianhong, Xu Min, Tian Haijing. Analysis of factors evident in the relation between railways and the incidence of dysentery using linear regression. GEOMATICS NATURAL HAZARDS & RISK. 2019,10(1):1459-1474.

[95].Chen W, Cao C, Liu D, Tian R, Wu C, Wang Y, Qian Y, Ma G, Bao D. An evaluating system for wetland ecological health: Case study on nineteen major wetlands in Beijing-Tianjin-Hebei region, China. ci Total Environ. 2019 May 20;666:1080-1088.

[94].Mingbo Liu , Chunxiang Cao, Wei Chen and Xuejun Wang. Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data. ISPRS Int. J. Geo-Inf. 2019, 8(3), 106.

[93].Joharestani, Mehdi Zamani; Cao, Chunxiang; Ni, Xiliang; Bashir, Barjeece; Talebiesfandarani, Somayeh. PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data. ATMOSPHERE,2019,10(7): 2073-4433.

[92].Liu, Mingbo，Cao, Chunxiang，Dang, Yongfeng. Mapping Forest Canopy Height in Mountainous Areas Using ZiYuan-3 Stereo Images and Landsat Data. FORESTS. 2019,10(2): 1999-4907

[91].Bao, Shanning; Cao, Chunxiang; Chen, Wei; Yang, Tianyu; Wu, Chunying. Towards a subtropical forest spectral library: spectra consistency and spectral separability. GEOCARTO INTERNATIONAL,2019, 1010-6049.

[90].Acharya BK,Cao C, Lakes T, Chen W, Naeem S. Pandit S, Modeling the spatiallyvarying risk factors of dengue fever in Jhapa district Nepal using the semi parametric geographically weighted regression model, International Journal of Biometrology. pp:1-14. https://doi.org/10.1007/s00484-018-1601-8

[89].Acharya B K, Cao C, Xu M, et al. Present and future of dengue fever in Nepal: mapping climatic suitability by ecological niche model. International journal of environmental research and public health, 2018, 15(2): 187.

[88].Bipin Kumar Acharya, Chunxiang Cao, Min Xu, Wei Chen,  Shreejana Pandit. Spatiotemporal Distribution and Geospatial Diffusion Patterns of 2013 Dengue Outbreak in Jhapa District, Nepal. Asia Pacific Journal of Public Health, 2018, doi: 10.1177/1010539518769809

[87].Bipin Kumar Acharya ID , Chunxiang Cao, Min Xu, Laxman Khanal D Shahid Naeem，Shreejana Pandit.Temporal Variations and Associated Remotely Sensed Environmental Variables of Dengue Fever in Chitwan District, Nepal. ISPRS Int. J. Geo-Inf. 2018, 7, 275; doi:10.3390/ijgi7070275

[86].Shahid Naeem, Chunxiang Cao, Waqas Ahmed Qazi, Mehdi Zamani, Chen Wei Bipin Kumar Acharya and Asid Ur Rehman, “Studying the Association between Green Space Characteristics and Land Suce Temperature for Sustainable Urban Environments: An Analysis of Beijing and Islamabad”. ISPRS Int. J Geo-Inf. 2018;7(2):38.

[85].Naeem S, Cao C, Waqar M M, et al. Vegetation role in controlling the ecoenvironmental conditions for sustainable urban environments: a comparison of Beijing and Islamabad. Journal of Applied Remote Sensing, 2018, 12(1): 016013-016013.

[84].Naeem S, Cao C, Fatima K, et al. Landscape greening policies-based land use/land cover simulation for Beijing and Islamabad—An implication of sustainable urban ecosystems. Sustainability, 2018, 10(4): 1049.

[83].Boonprong, S.; Cao, C.; Chen, W.; Ni, X.; Xu, M.; Acharya, B.K. The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy. ISPRS Int. J. Geo-Inf. 2018, 7, 274.

[82].Xie B., Cao C., Chen W., et al. Prediction and analysis of the potential risk of sudden oak death in China. Journal of Forestry Research, 2018, 10.1007/s11676-018-0755-x:

[81].Lin X, Xu M, Cao C, et al. Land-use/land-cover changes and their influence on the ecosystem in Chengdu City, China during the period of 1992–2018. Sustainability, 2018, 10(10): 3580.

[80].Zhibin Huang , Min Xu , Wei Chen , Xiaojuan Lin , Chunxiang Cao, Ramesh P. Singh. Postseismic Restoration of the Ecological Environment in the Wenchuan Region Using Satellite Data. Sustainability. 2018, 10(11): 1-16.

[79].Wei Chen, Chunxiang Cao, Jian Zhao, Haijing Tian. Shrub biomass estimation in semi-arid sandland ecosystem based on remote sensing technology. Global Ecology and Conservation. 2018.16:e00479.

[78].Wei Chen, Houzhi Jiang, Kazuyuki Moriya, Tetsuro Sakai, Chunxiang Cao. Monitoring of post-fire forest regeneration under different restoration treatments based on ALOS/PALSAR data. New Forests, 2018, 49(1): 105-121.

[77].Ni X, Cao C, Zhou Y, et al. Spatio-temporal pattern estimation of PM2. 5 in Beijing-Tianjin-Hebei Region based on MODIS AOD and meteorological data using the back propagation neural network. Atmosphere, 2018, 9(3): 105.

[76].Chunying Wu, Wei Chen, Chunxiang Cao, Rong Tian, Di Liu, Daming Bao. Diagnosis of Wetland Ecosystem Health in the Zoige Wetland, Sichuan of China. Wetlands, 2018 (3) :1-16.

[75].Boonprong S, Cao C, Chen W, et al. Random forest variable importance spectral indices scheme for burnt forest recovery monitoring—Multilevel RF-VIMP. Remote Sensing, 2018, 10(6): 807.

[74].Xiliang Ni, Chunxiang Cao, Yuke Zhou, Lin Ding et al. Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship. Forests, 2017, 8(8), 288. (SCI)

[73].Chen Wei, Jiang H. Z., Moriya K., Sakai T., Cao C. X. Monitoring of post-fire forest regeneration under different restoration treatments based on ALOS/PALSAR data. New Forests, 2017, DOI 10.1007/s11056-017-9608-2. (SCI)

[72].Di Liu, C.X. Cao, O. Dubovyk, R. Tian, W. Chen, Q.F. Zhuang, Y.J. Zhao, G. Menz. Using fuzzy analytic hierarchy process for spatio-temporal analysis of eco-environmental vulnerability change during 1990–2010 in Sanjiangyuan region, China. Ecological Indicators, 2017, 73: 612-625. (SCI)

[71].Wei Chen, Chunxiang Cao et al. Retrieval and comparison of forest Leaf Area Index based on remote sensing data from AVNIR-2, Landsat-5 TM, MODIS, and PALSAR sensors. ISPRS Int. J. Geo-Inf. 2017, 6(6), 179. (SCI)

[70]. Boonprong S, Cao C, Torteeka P, et al. A novel classification technique of Landsat-8 OLI image-based data visualization: the application of Andrews’ plots and fuzzy evidential reasoning. Remote Sensing, 2017, 9(5): 427.(SCI)

[69]. Chen Xue-juan, Wu Xiang, Yuan Zhong-qiang, Chen Xiang, Zhang Yu-wu and Cao Chun-xiang. Spectral characteristics and species identification of rhododendrons using a discriminative restricted Boltzmann machine. Spectroscopy Letters, 50(2): 65-72.2017.(SCI)

[68]. Bao S, Cao C, Chen W, et al. Spectral Features and Separability of Alpine Wetland Grass Species in the Northeastern Qinghai-Tibet Plateau. Spectroscopy Letters, 2017, 50(5) (SCI)

[67]. Zhu Z, Piao S, Myneni R B, Huang, MT, Zeng, ZZ , Canadell, JG, Ciais, P, Sitch, S , Friedlingstein, P , Arneth, A, Cao, CX, et al. Greening of the Earth and its drivers. Nature Climate Change, 2016, 6(8). (SCI)

[66]. Yin H, Cao C, Xu M, et al. Long-term snow disasters during 1982–2012 in the Tibetan Plateau using satellite data. Geomatics Natural Hazards & Risk ,2016:1-12.(SCI)

[65]. Zhao X, Cao C, Ni X, et al. Retrieval and application of leaf area index over China using HJ-1 data. Geomatics, Natural Hazards and Risk, 2017, 8(2): 478-495.(SCI)

[64]. Liu D, Cao C, Chen W, et al. Monitoring and predicting the degradation of a semi-arid wetland due to climate change and water abstraction in the Ordos Larus relictus National Nature Reserve, China. Geomatics, Natural Hazards and Risk, 2017, 8(2): 367-383.(SCI)

[63].Acharya B K, Chunxiang Cao, Lakes T, et al. Spatiotemporal analysis of dengue fever in Nepal from 2010 to 2014. Bmc Public Health, 2016, 16(1). (SCI)

[62]. Cao C, Ni X, Wang X, et al. Allometric scaling theory-based maximum forest tree height and biomass estimation in the Three Gorges reservoir region using multi-source remote-sensing data. International Journal of Remote Sensing, 2016, 37(5):1210-1222.(SCI)

[61]. Xu M, Cao C, Li Q, et al. Ecological Niche Modeling of Risk Factors for H7N9 Human Infection in China. International Journal of Environmental Research & Public Health, 2016, 13(6).(SCI)

[60]. Sungho Choi, Christopher P. Kempes, Taejin Park, Ganguly, Sangram, Wang, WeileXu, Liang, Basu, Saikat, Dungan, Jennifer L, Simard, Marc, Saatchi, Sassan S., Piao, Shilong, Ni, Xiliang, Shi, Yuli, Cao, Chunxiang et al. Application of the metabolic scaling theory and water–energy balance equation to model large-scale patterns of maximum forest canopy height. Global Ecology and Biogeography, 2016.(SCI)

[59]. Cao C, Chen W, Zheng S, et al. Analysis of spatiotemporal characteristics of pandemic SARS spread in mainland China. BioMed research international, 2016, 2016(1): 7247983. (SCI)

[58]. Cao C, Yang B, Xu M, et al. Evaluation and analysis of post-seismic restoration of ecological security in Wenchuan using remote sensing and GIS. Geomatics Natural Hazards & Risk, 2015:1-18.(SCI)

[57]. Xu M, Cao C X, Wang D C, et al. Environmental factor analysis of cholera in China using remote sensing and geographical information systems. Epidemiology & Infection, 2015, -1(5):1-12.(SCI)

[56]. Patcharin Insom, Chunxiang Cao, Pisit Boonsrimuang, Di Liu, Apitach Saokarn, Peera Yomwan, and Yunfei Xu. A Support Vector Machine-Based Particle Filter Method for Improved Flooding Classification. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12(9): 1943-1947.(SCI)

[55]. Bin Yang, Chunxiang Cao, Ying Xing, and Xiaowen Li. Automatic Classification of Remote Sensing Images Using Multiple Classifier Systems. Mathematical Problems in Engineering, 2015, 954086.(SCI)

[54]. Zheng S, Pozzer A, Cao C X, et al. Long-term (2001–2012) concentrations of fine particulate matter (PM 2.5) and the impact on human health in Beijing, China. Atmospheric Chemistry and Physics, 2015, 15(10): 5715-5725.(SCI)

[53]. Xiliang Ni, Yuke Zhou, Chunxiang Cao, Xuejun Wang, Yuli Shi, Taejin Park, Sungho Choi and Ranga B. Myneni. Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data, Remote Sensing, 2015, 7:8436-8452.(SCI)

[52]. Mengya Wang, Chunxiang Cao, Guoshuai Li, Ramesh P. Singh. Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China. Atmospheric Environment, 2015, 102:112-121.(SCI)

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