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7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，为行业部门等培训技术人才300余人；共发表论文200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20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40余名硕博生，其中来自亚太地区留学生8人。

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六次“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月至今 任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
• ¬ 2012-07月至今 电子科技大学资源与环境学院特聘教授
• ¬ 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

研究生培养

曹春香研究员自回国以来已在本土培养研究生40余名，其中博士后2名，获得博士学位24名，获得硕士学位15名，毕业学生均去往中国科学院系统、国家航天部门、国家林业系统工作；招收来自泰国、尼泊尔、巴基斯坦留学生6名，与美国波士顿大学、德国马普学会、日本京都大学、福井大学、北海道大学、等国际知名高校和学术机构均有学生交换交流合作；毕业及在读研究生获得奖励包括中国科学院院长奖学金1人，中国科学院所长奖学金 2人，中国科学院研究生院优秀毕业生称号2人，中国科学院大学三好学生称号7人，遥感所三好学生标兵1人；2012年在中国科学院大学首讲了《环境健康遥感诊断》博士精品课程。

1. 钟少波博士：《GIS和遥感应用于传染病流行病学研究-以乙肝和高致病性禽流感为例》 2006
2. 郭建平博士：《陆地下垫面气溶胶及地表反射率遥感定量反演建模研究》 2007
3. 白林燕博士：《高时相陆表大气气溶胶卫星遥感定量反演》2009
4. 鲍云飞博士：《基于多源遥感数据的森林参数提取方法研究》2009
5. 何祺胜博士：《基于多源遥感数据的森林生物量协同反演研究》2010
6. 徐敏博士：《基于空间信息技术的中国霍乱时空分布及预测研究》2011
7. 高孟绪博士：《青藏高原喜马拉雅旱獭鼠疫疫源地空间分布规律研究》 2011
8. 倪希亮博士：《基于尺度生长理论的中国森林生物量遥感反演研究》 2013
9. 赵坚博士：《毛乌素沙地灌木生物量遥感估算研究》 2013
10. 黄明仁博士PEERA YOMWAN（泰国留学生）博士：《基于多时相卫星影像和 BP 神经网络模型的洪水引发的水媒传染病研究》 2014
11. 项海兵博士：《LiDAR 与 PolInSAR 协同反演树高研究》 2014
12. 方舟博士：《栎树猝死病在中国的潜在爆发风险预测预警研究》 2014
13. 郑盛博士：《北京市空气污染特征和对人类健康影响遥感诊断》2015
14. 田蓉博士：《湿地健康遥感诊断》2015
15. Apitach INSOM（泰国留学生）博士：《基于地理空间信息技术的洪水引发传染病的监测》2015
16. 杨斌博士：《结合影像和激光雷达的三维绿度遥感提取研究》2015
17. 赵小杰：《基于多源遥感数据竹柳全球分布遥感诊断研究》2015
18. Patcharin Insom（泰国留学生）博士：《状态估计技术在地类识别中的应用研究:以洪水淹没面积识别和湿地变化监测为例》2016
19. 田海静：《基于多源遥感数据的毛乌素沙地灌木生物量反演研究》2017
20. 刘迪：《湿地生物量遥感诊断》2017Bipin Kumar Acharya（尼泊尔留学生）：人类活动响应遥感诊断2017
21. Shahid Naeem（巴基斯坦留学生）：人类活动响应遥感诊断2017
22. 包珊宁：作物健康遥感诊断2018
23. 宋新Sornkitja  Boonprong（泰国留学生）：植被健康遥感诊断 2018
24. 杨天宇：湿地传染病遥感诊断2019
25. 陈伟硕士：《毛乌素沙地植被覆盖度遥感反演对比分析研究》 2012
26. 刘诚硕士：《基于 GIS 的“树流感”在中国适生区预测及风险评估》 2013
27. 汪梦雅硕士：《北京沙尘气溶胶光学特性与辐射效应分析》2015
28. 刘霞：《基于资源三号影像森林生物量的反演模型的研究》2015
29. 尹航：积雪与环境健康响应遥感诊断 2018
30. 江厚志：树流感预警模型研究 2018
31. 吴春莹：湿地健康遥感诊断 2018
32. Mani：地震后区域植被遥感诊断 2019
33. 刘明博：森林遥感协同反演 2019
34. 张敏：大气健康遥感诊断 2019

承担科研项目情况

曹春香研究员近年来共承担国家重大专项、973计划、863计划的专题与课题及国家自然科学基金项目、行业公益专项等共计25项，通过以项目承载科学研究的方式大力推动了环境健康遥感诊断学科方向的发展。

1、国家重点研发项目课题“区域人工林资源遥感动态监测技术研究”（2017YFD0600903）

该课题针对我国区域人工林资源监测数据时效性差、空间精度低和技术手段单一的特点，综合利用多时相、多光谱、高光谱、高空间分辨率等多源数据，研究了区域人工林类型动态变化信息遥感提取技术、结构参数变化遥感监测技术、地面抽样调查与技术验证技术及相关标准规范，建立基于多源遥感手段的区域人工林资源高时效动态监测技术体系，研发区域人工林资源遥感动态监测系统，具备区域尺度的人工林类型、郁闭度等产品生产能力，为我国区域人工林资源遥感高精度、多时序动态监测提供技术和软件支撑。

 

2、国家重点研发计划项目子课题“森林资源清查与森林扰动高时空动态监测应用示范” （2016YFB0501505）

研究基于高时空多源数据融合与协同处理分析的森林参数遥感反演技术，结合地面森林资源调查，面向典型示范区（三峡库区流域、南水北调中线工程区），建立年度出数的森林面积、范围以及蓄积量的协同估测及质量评价的技术流程，构建森林资源监测综合数据库和森林动态监测技术体系，实现三峡库区流域（湖北、重庆境内）及南水北调中线工程区（丹江口库区周围1-2个县级单位区）示范区全区30米的森林面积、蓄积量遥感监测年度出数示范应用及重点区域10米的森林面积、蓄积量的地面与遥感综合监测；构建基于中高分辨率（不低于30米）多源遥感数据等的森林信息快速提取技术、多期遥感数据森林资源变化监测技术等关键技术，面向东北国有林区（大兴安岭地区）、南方集体林区（广西地区）示范区，提取森林覆盖等指标参数，建立森林扰动动态监测技术指标体系，构建森林扰动指数，实现典型示范区重点区域10米的高精度高动态的森林砍伐、火灾、病虫害（松毛虫、松材线虫病）扰动变化监测。

 

3、863国家重大项目课题“典型应用领域全球定量遥感产品生产体系”(2013AA12A302)

组织30多家国内遥感基础和应用单位针对全球尺度定量遥感产品业务化生产系统开展了联合技术攻关，突破了全球生物量与碳储量遥感专题产品一体化生产技术、全球多尺度农情专题产品生产技术、全球巨型成矿带矿产资源与能源遥感评价与探测技术、区域河流水文模拟与灾害监测技术、全球生态环境遥感监测与诊断技术等五项关键技术。面向林业、农业、矿产、区域河流和生态环境五大方向建立了的典型区域的全球定量遥感专题产品生产体系，形成了40种典型应用领域定量遥感专题产品业务生产能力，各产品生产系统均采用统一的软件体系标准和数据规范，通过建立统一的系统设计标准体系和产品设计标准体系，保证各典型应用领域生产系统在数据流和工作流上的一致性和协同性，采用生产线式的生产方式，实现了跨行业领域定量遥感专题产品的生产。通过对全球定量遥感专题产品的业务化生产，我国将长效化监测全球资源、环境变化，进一步推动了国产卫星数据的应用，提高了我国在遥感应用领域的国际地位。

 

4、国家科技重大专项项目课题“传染病信息集成分析与传播风险预测技术研究”专题七“传染病信息可视化示范应用研究”(2008ZX10004－012)

项目依托深圳城市的信息资源，利用数字技术、信息技术、网络技术等交叉学科理论和方法，建立了深圳市传染病可视化与预测预警系统；拟合并预测了深圳市流感、疟疾、腹泻、肾出血热等8钟主要传染病的发病趋势；并完成了对这些主要传染病的常规监测和预警，实现了跨部门属性数据的共享，及其现场人力、资源调配的时空分析，该系统突破的关键技术在于将城市基础地理信息数据、传染病数据、医疗站点数据、气候数据、环境质量数据等有机的集成在同一个平台系统内，可以从不同的角度以属性的形式展示传染病的发病特点和规律，同时通过分析气候、环境维因子的变化特征实现对主要传染病的预测预警。针对现代社会越来越复杂的交互行为，提出了一种离散形式的空间分区模型预测传染病蔓延，该模型考虑了现代社会个体之间复杂的空间接触模式，以及真实情况下普遍存在的人群异质性和分布异质性。本项目建立的深圳市传染病可视化与预测预警系统、城市级传染病模拟与分析系统、传染病三维立体可视化系统对于提高深圳市传染病的监测及预警能力，推动深圳市公共卫生事业的发展等都有着十分重要社会效益。

 

5、国家自然科学基金“干涉SAR与LIDAR森林参数协同反演模型与方法”(40871173)

项目为进一步加强主动微波和主动光学辐射机理和森林结构参数算法研究，实现两种主动遥感森林结构参数协同反演，提高了单一传感器森林结构参数反演精度，在干涉SAR散射模型、小光斑LIDAR参数提取、大光斑LIDAR波形模拟的基础上，在不同的地形参数设置下对植被垂直结构参数反演模型进行了计算机模拟；综合干涉SAR覆盖区域以及小光斑LIDAR离散点获取高程精度高的特点，将两种技术融合，改变干涉SAR散射模型，并结合离散LIDAR数据提涉SAR提取森林结构参数的精度，最终实现了森林结构参数在大区域上的扩建；通过对真实三维森林分布场景干涉SAR后向散射信号、激光回波波形的正向模拟，分析了两种传感器模拟信号及其分量或其特征描述参数对森林结构及地形参数的明感性，在DEM和林冠两个层次的几何光学模型的基础上，利用最优干涉相干、极化目标分解技术及LIDAR技术，考虑多尺度效应，实现了对干涉SAR和LIDAR综合反演森林参数，相对于单一数据反演提高精度5-10%。

 

6、国家自然科学基金“基于空间信息技术的中国树流感风险与森林健康相关性分析研究”(41171330)

项目主要对树流感病原菌在中国的适生区分布进行研究，通过对树流感的爆发和传播风险进行模拟分析与预测预警，在此基础上分析树流感爆发风险与森林健康相关性，并对森林植被健康进行诊断评价，从而最大限度保护我国森林植被资源。项目重点围绕已知地理时空分布的气候要素，分析树流感病原菌在中国不同区域的适应性，同时基于遥感和GIS等空间信息技术研究其寄主树种在中国的分布区，获取各树种的观测因子，包括郁闭度、冠层结构参数、LAI、生物量等，，以这些参数为指标，结合先验知识和森林调查数据，判断树种是否可能感染树流感，通过实地验证，对树流感的爆发风险进行预测分析。在研究中国树流感爆发风险的基础上，针对树流感的爆发对森林树木的生理生态特征的影响，面向森林健康评价，选择建立合适的指标，深入分析树流感风险与森林健康的相关性。在该项目四年执行期间共发表学术论文32篇，其中SCI/SCIE收录论文17篇，EI检索论文10篇，CSCD核心论文5篇，出版专著1部；在该基金项目资助下（联合其他项目资助）共培养博士毕业生6人，硕士毕业生1人。

 

7、国家林业局项目“湿地生态系统评价体系研究”

项目在基于大量文献调研的基础上，通过开展全面调研、专家咨询和野外验证等工作，以“可监测、可报告、可操作”为指导原则，从湿地生态系统健康、功能、价值三方面构建了科学、合理、可操作性强的评价指标体系，并于2012年2月29日成功通过国家林业局科技委专家论证。本指标体系针对这一分类体系中所有的湿地类型，制定了湿地生态系统健康、功能和价值评价指标体系的各级指标及其计算方法，用于评价以湿地所在的自然保护区或最小行政区域为单元的单块湿地的健康状况、功能强弱和经济价值，可用于同类型湿地生态系统的健康、功能和价值的比较。根据湿地项目实施方案中所构建的湿地生态系统评价指标体系终稿，对湿地生态系统健康评价指标体系的5大类13个指标，湿地生态系统功能评价指标体系的4大类7个指标，湿地生态系统价值评价指标体系的4大类8个指标进行野外实地验证。为促进湿地生态系统评价体系从科研到生产的转化，进一步提高全国湿地价值评估的科学性和代表性，项目对GEF5期规划性项目中的7个重点湿地及我国其他不同地区不同类型的国际重点湿地展开湿地生态体系评价试点应用，完成了两批次共21个湿地试点的生态系统评价示范工作，其示范效应将带动全国湿地保护的发展，为湿地管理、科学研究和合理利用提供及时、准确的参考依据。

 

8、遥感科学国家重点实验室仪器研发项目“树流感遥感诊断指标要素测量系统”研发

项目研制了一套专门针对“树流感”这种森林病虫害的爆发风险评价的遥感诊断指标要素测量系统，该系统主要部分搭建于无人机上，其他部分固定在森林中的特定位置，主要包括在可见光和近红外波段探测植被光谱并检测其变化的植被叶片偏振光二向性反射测量装置；拍摄地表地物（尤其是寄主树种植被）的高清影像并计算特定样地的冠层覆盖等森林参数的地表影像拍摄系统；实时测量测量环境温度、湿度等气象环境因子进而分析病菌的适生度的气象因子测量系统；布置在相应的位置采集孢子用于后期检测的林间孢子收集系统。该系统可有效用于栎树猝死病等森林病虫害监测和预警。

 

9、青海省重大科技攻关项目“青海东昆仑成矿带特性与地表复杂条件下多尺度成矿目标遥感快速探测技术研究”

项目联合4家单位，根据成矿模型凝炼出的不同空间尺度成矿地质目标的几何属性与遥感信息物理属性对应拟合的原则，在考虑地表复杂程度的前提下，形成了不同平台航天遥感数据源配套选取和面向目标的数据处理方案综合制订技术，提出了主要矿种与成矿类型的大中型矿床（矿产地）预测靶区与找矿突破的关键技术。同时构建了集遥感影像模型-传感器模型-处理模型于一体的大型成矿靶区快速定位的综合分析系统模型，形成了以东昆仑成矿带为代表的青海地质找矿信息共享服务平台技术。本项目的研究利用不确定性空间数据挖掘模型提高了遥感确定靶区精度，通过Crosta技术诊断清楚了东昆仑地区已知矿床（点）在Crosta饰变图像中的特征，并以此遥感技术从昆仑山东到西共圈定了58个I类优级、I类、II类靶区。

 

10、973项目子课题“干涉SAR与激光雷达植被参数综合反演模型与方法”

项目通过对真实三维森林分布场景干涉SAR后向散射信号、激光回波波形的正向模拟，提出了一种利用干涉SAR后向散射信号、激光回波波形以及SPOT数据相结合反演森林结构参数的模型方法，采用神经网络模型将对SPOT5提取森林生物量时选取的指示因子和SAR HH、HV极化数据作为神经网络的输入数据，建立基于神经网络的协同反演模型。项目从模型的角度将LiDAR提取的结构参数与光学数据提取的叶面积指数、覆盖度协同到微波后向散射模型中，实现了基于物理机制的多源遥感数据森林生物量协同反演模型构建，大大提供了森林生物量反演的精度。

 

11、中国科学院重点部署项目“双色红外环境健康遥感诊断系统研发”

项目面向资源探测、环境监测方面的红外遥感应用，研制了128×128中/长波双色焦平面探测器组件，构建了双色红外环境健康遥感诊断系统。本项目研究突破了相关红外焦平面物理、材料和器件的各项关键技术，既通过被探测目标特定的红外吸收要求，对器件探测波长的准确定位和稳定可重复、面阵有效象元的优化、系统温度分辨率的改善，使器件的应用适配度更高。项目分析验证了双色红外光学探测系统对地表温度、森林火灾、城市热岛等环境健康因子的适用性，为红外遥感中的关键红外元器件的国产化和升级作出了重要贡献。本项目最终取得了稳定、重复的高均匀性中/长波双色叠层量子阱红外探测器面阵芯片制备技术，达到红外双色面阵在多领域应用研究方面的领先，同时缩短了与国际水平的差距，为真正满足实际需求和后续推广计划提供了重要技术支撑。

 

12、CAS-TWAS“亚洲空间减灾科学合作研究项目“基于中国与东南亚国家空间信息技术合作的洪水多发区洪灾减灾研究”

项目针对亚洲国家洪水灾害的特点，通过中国与东南亚国家空间信息技术合作，建立并完善了泰国Yom流域和中国长江流域典型受灾区的空间数据库，并在此基础上构建了一个由洪水快速监测模型和因洪水引发的水媒传染病风险评估模型相整合的综合模型，利用空间信息技术实现洪水淹没面积自动提取，并对由于洪灾引发的水传播传染病（水媒传染病）分布进行了定量评估。项目通过空间数据共享、洪水减灾技术交流、人才培养等方式，为亚洲发展中国家培养洪水灾害空间减灾领域的高级技术人才和空间减灾合作交流的铺平了道路。

 

13、林业公益性行业科研专项“树流感”爆发风险遥感诊断与预警研究

本项目基于最新的树流感爆发点分布数据、地理数据、气象数据及遥感数据、野外调查实验数据等，建立了全球及中国的栎树猝死病菌寄主环境背景因子数据集。在分析了全球树流感病菌的时空分布特征及环境适生性的基础上，基于AHP-模糊综合评价方法、气候相似性分析法、多种生态位模型等对全球尺度的树流感的潜在入侵风险进行预测预警，推测中国地区该病菌的潜在入侵风险预测预警结果。通过2050年及2070年的气候变化情景下气象数据，对树流感病菌在中国的潜在入侵风险进行了中长期预警。项目实施期间发表文章15篇（其中SCI 7篇），申请专利2项，获得软件著作权证书2份，培养博士研究生一人，硕士研究生两人。

 

14、国家林业局湿地保护管理中心“湿地监测与管理”项目

本项目在国家林业局湿地保护管理中心指导下，2011至2017年共进行了湖北洪湖、湖北梁子湖、湖南洞庭湖、江苏洪泽湖、黑龙江扎龙湿地、三江平原、山东莱州湾、湖北洪湖、江西鄱阳湖、安徽升金湖、黑龙江多布库尔、内蒙古根河、四川若尔盖、青海三江源、新疆阿尔泰两河源、海南东寨港、东营黄河三角洲、上海崇明东滩、福建漳江口、内蒙古鄂尔多斯、内蒙古达赉湖、青海鸟岛、青海扎陵湖和鄂陵湖、四川若尔盖、云南碧塔海、北京汉石桥湿地、野鸭湖湿地、密云水库、湖北省网湖、梁子湖以及石首天鹅洲湿地、江苏高邮湖、洪泽湖、盐城滨海湿地等30多处国际或国家重要湿地生态系统健康、功能、价值的评价工作，获取评价结果，完成评价报告，并根据评价工作过程中的实际情况对湿地生态系统《指标体系》和《技术手册》进行修改完善，为该指标体系推广为行业标准和国家标准打下基础，更全面地验证湿地生态系统评价指标体系及其测量技术手册的合理性和可操作性，同时基于项目成果出版专著《中国国际重要湿地生态系统评价》一本。

 

15、三峡后续工作科研项目“三峡库区生态屏障区生态效益监测技术与评价方法研究”

项目针对三峡库区生态屏障区生态效益监测评价问题，研发了森林植被时空变化快速提取技术和生态屏障区森林生态系统的生态效益监测技术，综合建立了一套可供应用的生态效益监测与评价指标体系和方法。本项目重点研究攻克了森林植被时空变化中森林面积、森林类型、森林树高、森林蓄积量等森林参数的变化监测难点。项目面向三峡库区实现了森林面积、森林类型、森林树高、森林蓄积量等监测指标的快速更新。本项目研究成果为其他生态区域生态效益监测提供的成功示范作用。

 

16、科技基础性工作专项“中国沼泽湿地资源及其主要生态环境效益综合调查”

收集了大量的关于中国西南高原区沼泽湿地的调查资料；收集下载了四个时相（一个现状年份和三个历史年份）的共计530景中高分辨率的卫星遥感影像（HJ、Landsat MSS、TM、ETM+影像等，绝大部分为免费下载，少部分为其他项目合作单位资源共享所得），并全部进行了预处理，处理的精度符合《中国沼泽湿地卫星遥感调查技术规程》要求，建立了我国西南高原区沼泽湿地现状年（2010-2012年）与过去30年3个主要年份（2000年、1990年、1980年）集中分布区遥感影像数据集，随后基于已收集的遥感影像开展了四个时期沼泽湿地的人机交互判读，通过实地验证和结果再修正等工作获得了现状年（2010-2012年）的中国西南高原区沼泽湿地遥感解译结果。针对两个验证区域——三江源湿地和若尔盖湿地开展了野外调查，分别采集沼泽湿地验证点1056个（三江源）和512个（若尔盖），对应遥感影像解译结果和Google Earth影像及实地调查结果开展精度验证和评价，综合的判对率能够满足> 95%的精度要求，研究了西南高原区典型沼泽湿地生态环境脆弱性时空变化分析，得到了一定的成果。基于该项目已发表SCI文章4篇，EI文章1篇，CSCD核心期刊文章2篇。

 

17、自主培育项目

自2007年起，曹春香研究员领导的研究室每隔两年自筹经费在内蒙古毛乌素沙地进行了星地同步野外实验，现已进行了5次实验(2007、2009、2011、2013、2015)，积累了大量的宝贵实验数据。

 

18、其带领团队成员主持或参与的其他项目

• 中科院国际合作项目“基于中泰遥感卫星数据的水灾频发地区的洪水灾害监测及预测预警研究”
• 中国科学院遥感与数字地球研究所“一三五”战略部署突破三课题“对地观测模拟系统定量遥感应用示范研究”
• 遥感科学国家重点实验室重大科学计划项目(项目编号:ZD12-5) “环境变化与公众健康”子课题“全球霍乱遥感分析”
• 遥感科学国家重点实验室科研支持基金项目“基于人居环境的手足口病传播动力学模型研究”
• 国家自然基金重大项目“基于现代信息技术研究传染病时空传播与流行规律”
• 遥感科学国家重点实验室应急项目“基于空间信息技术在512大地震后传染病的风险评估”
• 青海地方项目“青海乐都县生态环境适宜度分析与空间管制专题研究”
• 国家自然科学基金青年基金项目“中国东南沿海地区霍乱发病时空分布规律及预测模型研究”
• 中科院遥感所青年人才项目“H7N9禽流感环境影响要素与时空传播模型研究”

 

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

发表期刊论文

[106]Liu Di，Cao Chunxiang，Wei Chen, Xiliang Ni, Rong Tian, Xiaojun Xing,”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 2016（accepted）

[105]Bipin Kumar Acharya, ChunXiang Cao, Tobia Lakes,Wei Chen and Shahid Naeem.”Spatiotemporal analysis of dengue fever in Nepal from 2010 to 2014”.BMC Health Services Research，2016（accepted）.

[104]Insom P, Cao C, Boonsrimuang P, et al. “A Support Vector Machine-Based Particle Filter Method for Improved Flooding Classification[J]”. IEEE Geoscience & Remote Sensing Letters, 2015, 12(9):1943-1947

[103] Sungho Choi, Christopher P. Kempes, Taejin Park, Sangram Ganguly, Weile Wang, Liang Xu, Saikat Basu, Jennifer L. Dungan, Marc Simard, Sassan S. Saatchi, Shilong Piao,  Xiliang Ni, Yuli Shi, Chunxiang Cao, Ramakrishna R. Nemani, Yuri Knyazikhin1, Ranga B. Myneni.”Application of the metabolic scaling theory  and water-energy balance equation to model large-scale patterns of maximum forest canopy height”.Global Change Biology.2016(accepted)

[102] Chunxiang Cao, Wei Chen, Sheng Zheng, Jian Zhao, Chaoyi Chang, Jinfeng Wang & Wuchun Cao.  “Analysis of Spatiotemporal Characteristics of Pandemic SARS Spread in Mainland China”. BioMed Research International, 2016 (accepted).

[101] Min Xu, Chunxiang Cao, Qun Li, Peng Jia, Jian Zhao.“Ecological niche modelling of risk factors for H7N9 human infection in China”.International Journal of Environmental Research and Public Health. 2016(Accepted).

[100 M. XU, C. X. CAO, D. C. WANG, B. KAN, Y. F. XU, X. L. NI and Z. C. ZHU. “Environmental factor analysis of cholera in China using remote sensing and geographical information systems”.Epidemiology & Infection 2016,144(05):940-951.

[99] Min Xu, Chunxiang Cao, Duochun Wang and Biao Kan.” Identifying Environmental Risk Factors of Cholera in a Coastal Area with Geospatial Technologies Int. J. Environ. Res”.Public Health 2015, 12, 354-370

[98]Zaichun Zhu, Shilong Piao, Ranga B. Myneni, Chunxiang Cao et al. “Greening of the Earth and its drivers[J]”. Nature Climate Change, PUBLISHED ONLINE: 25 APRIL 20162016.         

[97]Chunxiang Cao, Di Liu, Ramesh P. Singh, Sheng Zheng, Rong Tian & Haijing Tian. “Integrated detection and analysis of earthquake disaster information using airborne data”.Geomatics Natural Hazards & Risk, 2015.

[96]Haijing Tian, Chunxiang Cao, Wei Chen, Shanning Bao, Bin Yang, Ranga B. Myneni. “Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012”. Ecological Engineering, 2015, 82:276–289.

 [95]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.

[94]Zheng, S., A. Pozzer, C. X. Cao, and J. Lelieveld.”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 15, no. 10 (2015): 5715-5725.

[93]CaoChunxiang, Sheng Zheng, and Ramesh P. Singh.”Characteristics of aerosol optical properties and meteorological parameters during three major dust events (2005–2010) over Beijing, China.”Atmospheric Research 150 (2014): 129-142.

[92]Insom, Patcharin, 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.” (2015).

[91]Chengdong Xu, Jinfeng Wang, Li Wang and Chunxiang Cao, “Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China”, BMC Infectious Diseases, 2014.

[90]Bin Yang, Chunxiang Cao, Ying Xing, and Xiaowen Li. “Automatic Classification of Remote Sensing Images Using Multiple Classifier Systems”. Mathematical Problems in Engineering, 2014 .

[89]Min Xu, Chunxiang Cao, et al.” Identifying Environmental Risk Factors of Cholera in a Coastal Area with Geospatial Technologies”.Int. J. Environ. Res. Public Health, 2014. (accepted).

[88]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, 2014(accepted).

[87]Chunxiang Cao, Haijing Tian et al., “Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-scaling Endmember Extraction Approach and Validation”.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing[SCI2.827]

[86] Wei Chen, Kazuyuki Moriya, Tetsuro Sakai, Lina Koyama, Chunxiang Cao. “Post-fire forest regeneration under different restoration treatments in the Greater Hinggan Mountain area of China”.Ecological Engineering, 2014, 70: 304-311.  DOI: 10.1016/j.ecoleng.2014.06.016.(SCI3.041).

[85] Cao Chunxiang, Zheng Sheng,Ramesh P. Singh, et,al “Characteristics of aerosol optical properties and meteorological parameters during three major dust events (2005 – 2010) over Beijing”, China,Atmospheric Research,2014.[SCI 2.421]

[84] 杨斌，曹春香，田蓉，刘诚，田海静，刘迪，项海兵.  2014. 汶川县震后 5年生态环境质量恢复评价. 遥感学报，18 (4 ) : 946-957[CSCD]

[83] W. CHEN, K. MORIYA, T. SAKAI, L. KOYAMA and C.X. CAO. “Mapping a burnedforest area from Landsat TM data by multiple methods”.Geomatics, Natural Hazards and Risk, 2014, DOI: 10.1080/19475705.2014.925982. (SCI 0.622)

[82] Wei Chen, Kazuyuki Moriya, Tetsuro Sakai, Lina Koyama, Chunxiang Cao. “Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data”. European Journal of Remote Sensing, 2014, 47: 153-168. DOI: 10.5721/EuJRS20144710.[SCI 0.971]

[81] Tian, H.,Cao, C., Xu, M., Zhu, Z., Liu, D., Wang, X., & Cui, S. (2014). “Estimation of chlorophyll-a concentration in coastal waters with HJ-1A HSI data using a three-band bio-optical model and validation”. International Journal of Remote Sensing, (ahead-of-print), 1-20.[SCI 1.359]

[80] Xiliang Ni, Taejin Park , Sungho Choi, Yuli Shi, Chunxiang Cao, Xuejun Wang, Michael A. Lefsky, Marc Simard and Ranga B. Myneni . Allometric Scaling and Resource Limitations Model of Tree Heights: Part 3. Model Optimization and Testing over Continental China. Remote Sens. 6, 3533-3553,2014.[SCI 2.623]

[79]LIU Cheng, CAO ChunXiang. Prediction of potentially suitable distributions of sudden oak death in China based on GIS technology. Chinese Science Bulletin, 2014, 59(18): 1732-1747.[CSCD]

[78] Zhou Fang, Chunxiang Cao. Estimation of Forest Canopy Height over Mountainous Areas Using Satellite LiDAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10.1109/JSTARS.2014.2300145.[SCI 2.827]

[77]Tian, Rong, Chunxiang Cao, Ling Peng, Guangren Ma, Daming Bao, Jianhong Guo, and Peera Yomwan. “The use of HJ-1A/B satellite data to detect changes in the size of wetlands in response in to a sudden turn from drought to flood in the middle and lower reaches of the Yangtze River system in China.” Geomatics, Natural Hazards and Risk ahead-of-print (2014): 1-21.[SCI]

[76]Jia, Huicong, Donghua Pan, Yi Yuan, and Chunxiang Cao.”Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought.”Human and Ecological Risk Assessment: An International Journal just-accepted (2014).[SCI]

[75]S. ZHENG, C. X. CAO, J. Q. CHENG, Y. S. WU, X. XIE, M. XU,Epidemiological features of hand-foot-mouth disease in Shenzhen, China from 2008 to 2010, Epidemiology and Infection, (2014)142,1751-1762. [SCI]

[74] Wei Chen, Tetsuro Sakai, Kazuyuki Moriya, Lina Koyama &Chunxiang Cao.Estimation of vegetation coverage in semi-arid sandy land based on multivariate statistical modeling using remote sensing data.Environmental Modeling and Assessment.Environmental Modeling and Assessment, 2013, 18(5): 547-558. DOI:10.1007/s10666-013-9359-1.[SCI]

[73] Zheng, Sheng, Chun-Xiang Cao, and Ramesh P. Singh. “Comparison of ground based indices (API and AQI) with satellite based aerosol products.” Science of The Total Environment 488 (2014): 398-412.[SCI]

[72] Zheng, Sheng, Chunxiang Cao, Yongfeng Dang, Haibing Xiang, Jian Zhao, Yuxing Zhang, Xuejun Wang, and Hongwen Guo. “Retrieval of forest growing stock volume by two different methods using Landsat TM images.”International Journal of Remote Sensing 35, no. 1 (2014): 29-43.[SCI]

[71] Yomwan, Peera, Chunxiang Cao, Preesan Rakwatin, Warawut Suphamitmongkol, Rong Tian, and Apitach Saokarn. “A study of waterborne diseases during flooding using Radarsat-2 imagery and a back propagation neural network algorithm.”Geomatics, Natural Hazards and Risk ahead-of-print (2013): 1-19.[SCI]

[70] Hai-bing Xiang; Jin-song Liu; Chun-xiang Cao; Min Xu. Algorithms for Moderate Resolution Imaging Spectroradiometer cloud-free image compositing. J. Appl. Remote Sens. 7 (1), 073486 (November 05, 2013);  doi: 10.1117/1.JRS.7.073486 [SCI]

[69] L. Xu, R. B. Myneni, F. S. Chapin, T. V. Callaghan, J. E. Pinzon, C. J. Tucker, C. Cao, et al. Temperature and vegetation seasonality diminishment over northern lands. Nature Climate Change 3, no. 6 (2013): 581-586. [SCI]

[68] Shi, Yuli, Sungho Choi, Xiliang Ni, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Chunxinag Cao et al. “Allometric scaling and resource limitations model of tree heights: Part 1. Model optimization and testing over continental USA.”Remote Sensing 5, no. 1 (2013): 284-306.[SCI]

[67] Xu, Min, ChunXiang Cao, DuoChun Wang, Biao Kan, HuiCong Jia, YunFei Xu, and XiaoWen Li. “District prediction of cholera risk in China based on environmental factors.” Chinese Science Bulletin 58, no. 23 (2013): 2798-2804. (SCI)

[66]Sungho Choi and Xiliang Ni, YuliShi, SangramGanguly Chunxiang Cao et al. Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site based testing of the Model. Remote Sensing, 2013,5(1): 202-223.(SCI)

[65]Chunxiang Cao, Yunfei Bao, et al. Extraction of forest structural parameters based on the intensity information of high-density airborne LiDAR Journal of Applied Remote Sensing, 2012, 6(1), 063533.(SCI)

[64]Wei Chen, Chunxiang Cao. Topographic correction-based retrieval of leaf area index in mountain areas [J].Journal of Mountain Science, 2012, 9:166-174. (SCI)

[63]Q.S. HE, C.X. CAO, et al. Forest Stand Biomass Estimation Using ALOS PALSAR data based on LiDAR-derived prior knowledge in the Qilian Mountain, western China, International Journal of Remote Sensing. 2012, 33(3): 710-729. (SCI)

[62]Xiliang Ni, Chunxiang Cao, et al., A fully automatic registration approach based on contour and SIFT for HJ-1A/B images[J]. Science China Earth Sciences.2012, 42(8):1245-1252.( SCI)

[61] Zhao, Jian, Min Xu, Shi-lei Lu, and Chun-xiang Cao. “Human settlement evaluation in mountain areas based on remote sensing, GIS and ecological niche modeling.”Journal of Mountain Science 10, no. 3 (2013): 378-387.(SCI)

[60]Huicong Jia, Jingai Wang, Chunxiang Cao, Donghua Pan & Peijun Shi (2012):Maize drought disaster risk assessment of China based on EPIC model, International Journal of Digital Earth, 5:6, 488-515.(SCI)

[59] Huicong Jia，Yi Yuan，Chunxiang Caoet al., Quick assessment model for water difficult population based on geographic factor — Taking the drought of Yunnan province in 2012 as an example[J]. Disaster science, 2013，28（1）：92-97. (in Chinese)(CSCD)

[58]Jian Zhao, Chunxiang Cao，et al.,Spatial and temporal dynamic analysis of Land use / cover change in arid areas: A typical example in Zhungeer, Journal of arid land resources and environment, 2013, 27(004): 99-105. (in Chinese)(CSCD)

[57]Chunxiang Cao, Wei Chen, Guanghe Li, Huicong Jia, Wei Ji, Min Xu, Mengxu Gao, Xiliang Ni, Jian Zhao, Sheng Zheng, Rong Tian, Cheng Liu and Sha Li, The retrieval of shrub fractional cover based on a geometric-optical model in combination with linear spectral mixture analysis[J]. Canadian Journal of Remote Sensing, 2011, 37(4):1-11.(SCI)

[56]Shushi Peng, Anping Chen, Liang Xu, Chunxiang Cao, Jingyun Fang, Ranga B Myneni, Jorge E Pinzon, Compton J Tucker and Shilong Piao. Recent change of vegetation growth trend in China [J].Environmental Research Letters, 2011, 6(4): 044027. (SCI)

[55]Huicong Jia, Jingai Wang，Donghua Pan，Chunxiang Cao.Maize Drought Disaster Risk Assessment Based on EPIC Model:A Case Study of Maize Region in Northern China [J].ACTA GEOGRAPHICA SINICA, 2011, 66(5): 643-652. (in Chinese)(CSCD)

[54]Sheng Zheng, Chunxiang Cao et al., A study on land use/cover change during urbanization in Shenzhenusing China-made satellite data[J]. Science China: information science, 2011, 41:140-152. (InChinese) (CSCD)

[53]Shaobo Zhong, Zhanhui Sun, Quanyi Huang, Chunxiang Cao. A framework for geographical surveillance of disease in China [J].International Journal of Disaster Resilience in the Built Environment, 2011, 2(3): 256-267.

[52]Yunfei Bao, Shengbo Chen, Qinhuo Liu, Qing Xiao, and Chunxiang Cao. Land suce temperature and emissivity retrieval by integrating MODIS data onboard Terra and Aqua satellites[J], International Journal of Remote Sensing, 2011, 32: 5, 1449-1469 (SCI)

[51]Huabing Huang, Zhan Li, Peng Gong, Xiao Cheng, Nick Clinton, Chunxiang Cao, Wenjian Ni, and Lei Wang. Automated Methods for Measuring DBH and Tree Heights with a Commercial Scanning Lidar[J]. ASPRS,2011, 77(3): 219-227(SCI)

[50] Wei Ji,Chunxiang Cao et al.,Data integration mode of diseases monitoring and early warning and emergency response system[J].Science of Surveying and Mapping,2012,06:66-68. (InChinese) [CSCD]

[49] Wei Ji, Xincai Wu, Chunxiang Cao. Research on dynamic catalog tree for land resources datacenter[J]. Bulletin of surveying,2012,02:74-76+102. (InChinese) [CSCD]

[48] Wei Ji, Xincai Wu, Chunxiang Cao et al.,A dynamic modeling technology of spatial analysis model[J]. Science of Surveying and Mapping,2012,04:49-51. (InChinese) [CSCD]

[47]Huicong Jia, Chuxiang Caoet al., Assessment ofWetland Ecosystem Health in the Source Region of Yangtze,Yellow and Yalu Tsangpo Rivers of Qinghai Province [J]. WETLAND SCIENCE, 2011, 9(3): 209-217.(InChinese) (CSCD)

[46]S. ZHENG, C.X. CAO et al.Assessment of the degree of building damage caused by the 2010 Yushu, China earthquake using satellite and airborne data[J]. Geomatics, Natural  Hazards and Risk, 2011, 2(2): 141-157. (SCI)

[45]Rong Tian, Chuxiang Caoet al., Changes and Driving Factors of Plateau Wetlands in Maduo County[J]. WETLAND SCIENCE，2011，9（1）：61-68. (InChinese) (CSCD)

[44]Sheng Zheng, Xiang Zhao，Hao Zhang，Qisheng He，Chunxiang Cao，Liangfu Chen. Atmospheric correction on CCD data of HJ-1 satellite and analysis of its effect [J]. Journal of Remote Sensing, 2011, 15(4): 709-721. (In Chinese)(CSCD)

[43]Shouxun Yan，Xiaobo Wu，Chaoxian Zhou，Chaohui Liu，Yongcheng Zhuang，Chunxiang Cao et al.,Advances in remote sensing and spectroscopy and the use of remote sensing in geological and mineral exploration of practice[J].Advances in earth science, 2011, 26(1): P624-627.(In Chinese)(CSCD)

[42]LI G P, Cao C X. Development of environmental monitoring satellite systems in China[J]. China Earth Sci, 2010, 53:1-7,doi: 10.1007/s11430-010-4141-7.(SCI)

[41]Chunxiang Cao，Chaoyi Chang， Min Xu, et.al.. Epidemic risk analysis after Wenchuan earthquake by using the technology of remote sensing[J]. International Journal of Remote Sensing,2010,  31(13), pp. 3631 – 3642. DOI: 10.1080/01431161003727713. (SCI)

[40]Cao C.X., Xu M., Chang C.Y., et.al. Risk analysis for the highly pathogenic avian influenza in mainland china using meta-modeling [J].Chinese Science Bulletin, 2010. 55(36): 4168-4178. (SCI)

[39]Min Xu，Chunxiang Cao et al., Spacetime Cluster Detection of Pandemic H1N1 Influenza A U sing GIS [J].Journal of Geoinformation Science, 2010, 12(5):707-712. (In Chinese)(CSCD)

[38]W. CHEN, C.X. CAO, Q.S. HE, et.al.. Quantitative Estimation of Shrub Canopy LAI from Atmosphere-corrected HJ-1 CCD Data in Mu Us Sandland[J]. Science China Earth Sci, 2010,53: 26-33, doi:10.1007/s11430-010-4127-4.(SCI)

[37]C.X. CAO, Y.F. BAO, M. XU, H. ZHANG and Q.S. HE. Retrieval of forest canopy attributes based on a Geomeric-Optical model using airborne LiDAR and optical remote sensing data[J].International Journal of Remote Sensing, 2010, 33(3): 692-709. (SCI)

[36]XU Min,CAO ChunXiang, TONG QingXi, et.al.，Remote sensing based shrub above-ground biomass and carbon storage mapping in Mu Us desert, China[J]. Science in China series E: Technological Sciences. May 2010 VOL.53 Suppl.I:176-183.(SCI)

[35]Gao M.X., Li X.W., Cao C.X. , et.al.. Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in China based on HJ-1 satellite data[J]. Science in China, 2010, 53: 8-15, doi:10.1007/s11430-010-4122-9. (SCI )

[34]Mengxu Gao，Chunxiang Cao et al.,Application of spatial information technology in the research of plague. Journal of endemic disease Chinese Science, 2010，29（6）：706-708. (In Chinese)(CSCD)

[33]Zhang Hao，Li Xiaowen，Cao Chunxiang, et.al.. Scale Effect of LAI Inversion Based on Environment and Disaster Monitor Satellite[J]. Science in China, 2010, 53: 92-98, doi:10.1007/s11430-010-4141-6.(SCI )

[32]LUO HuanMin, LI XiaoWen, CHEN ErXue, CHENG Jian ,CAO ChunXiang. Analysis of forest backscattering characteristics based on Polarization coherence tomography[J]. Science in China series E: Technological Sciences. May 2010 VOL.53 Suppl.I:166-175.(SCI)

[31]Guo J. P., C. X. Cao, Y. Xue, et.al.. Monitoring Haze Episodes over the Yellow Sea by Combining Multi-sensor measurements[J]. International Journal of Remote Sensing, 2010.31: 4743-4755 (SCI)

[30]CHANG ChaoYi, CAO ChunXiang, WANG Qiao, et.al.. The novel H1N1 Influenza A global airline transmission and early warning without travel containments[J]. Chinese Science Bulletin, 2010, Vol.55 No.26: 3030ovel H（SCI）

[29]Min Xu, Chunxiang Cao, Hao Zhang, Jianping Guo, Kaneyuki Nakane, Qisheng He, Jianghong Guo, Chaoyi Chang, Yunfei Bao, Mengxu Gao, Xiaowen Li. Change detection of earthquake-induced barrier lake based on remote sensing image classification[J]. International Journal of Remote Sensing, 2010, 31(13), pp. 3521 – 3534.DOI: 10.1080/01431161003727689. (SCI)

[28]Qisheng He, Chunxiang Caoet al., Study on the Extraction of Saline Soil Information in Arid AreaBased on Multiple Source Data [J]. REMOTE SENSING TECHNOLOGY AND APPLICATION, 2010. 25(2): 209-215. (in chinese) (CSCD)

[27]Jian-Ping Guo, Xiao-Ye Zhang, Hui-Zheng Che, Sun-Ling Gong, Xingqin An, Chun-Xiang Cao, et.al.. Correlation between PM Concentrations and Aerosol Optical Depth in Eastern China[J]. Atmospheric Environment, 2009,43(37): 5876–5886. (SCI)

[26]Jianping Guo, Huadong Xiao, Yong Xue, Huizheng Che, Xiaoye Zhang, Chunxiang Cao, Jie Guang, Hao Zhang. A New Method to Retrieve Aerosol Optical Thickness from Satellite Images on a Parallel System[J]. Particuology, 2009, 7(5), 392-398. (SCI)

[25]Jianping Guo, Min Xu, Kun Qin, Chunxiang Caoet al., On the precipitation classifications based on uncertainty theory[J].Journal of Computer Applications，2009.12. (CSCD)

[24]Xiaowen Li, Chunxiang Cao, Hao Zhang. Progress in the study of scale problem [J].Journal of Remote Sensing, 2009, 13 (supplement): 12-20. (CSCD)

[23]Chunxiang Cao，Min Xu et al.,Trends Analysis on Forest Health Research Using Multi-Source Remote SensingData [J]. Journal of Remote Sensing, 2009, 13 (supplement): 401-407. (CSCD)

[22]Qisheng He, Erxue Chen, Chunxiang Caoet al.,A Study ofForestParametersMapping TechniqueUsing Airborne LIDAR Data [J]. ADVANCES IN EARTH SCIENCE，2009，24（7）: 748-755. (CSCD)

[21]Qisheng He, Chunxiang Caoet al., Response of Satel lite SAR Images to the Ions of Saline Soi ls[J].Bulletin of Soil and Water Conservation,2009，29（5）：17-20. (CSCD)

[20]Guo, J. P., Y. Xue, C. X. Cao, H. Zhang, J. Guang, X. Y. Zhang, and X. W. Li. A synergic algorithm for retrieval of aerosol optical depth over land[J]. Adv. Atmos. Sci., 2009, 26(5), 973-983, doi: 10.1007/s00376-009-7218-4. (SCI)

[19]Jianping Guo, Huadong Xiao, Shaohua Liua, Yong Xue, Chunxiang Cao er al.,Parallel implementation of aerosol optica l depth retrieval algorithm[J]. Journal of ComputerApplications，2009. 6: 1665-1668. (CSCD)

[18]Zhang H, Cao C.X,Li G.P, et al.. Study on down-scaling LUCC based on the histo-variogram[J]. Science in China（E）,2009,vol.52(5):1348-1353.（SCI）

[17]Bao Y.F., Cao C.X., Zhang H., et al.. Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LiDAR height and intensity data[J]. Science in China(E),2008, Vol 51(supp. II) : 176-187 （SCI）.

[16]Xiaowen Li, Chunxiang Cao, Chaoyi Chang. The first law of geography and spatial temporal proximity[J].Nature magazine, 2007,29(2):69-71. (CSCD)

[15]Jianping Guo, Yong Xue, Shaobo Zhong, Chunxiang Cao, Wuchu n Cao, Xiaowen Li, and Liqun Fang. Preliminary Study of Avian Influenza A Infection Using Remote Sensing and GIS Techniques[J]. Lecture Notes in Computer Science, 2006, 3993, 9-12. (SCI)

[14]Liqun Fang, Chunxiang Caoet al.,Application of geoinformation in the spatial distribution and environmental factors of Chinahighly pathogenic avian influenza[J].Chinese Journal of Epidemiology, 2005, 26（11）：839-842. (CSCD)

[13]Jianping Guo, Yong Xue, Chunxiang Cao, Wuchun Cao, Xiaowen Li, Jianqin Wang, and Liqun Fang. eMicrob: a Grid-based Spatial Epidemiology Application[J]. Lecture Notes in Computer Science, 2005, Vol. 3516, pp. 472-475. (SCI)

[12] Liu Yalan, Yan Shou Yong, Li Xiaowen, Cao Chunxiang, Xiao Chunsheng, Jin Shui Gao. Law of the mainland Chinese population in SARS control flow space and macroeconomic policy- in the application [J].Remote Sensing, 2003, 7 (4) :. 273-276 (CSCD)

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[9] Cao Chunxiang, Li Xiaowen, Yan Jun, geospatial information and the SARS epidemic trend [J] Journal of Remote Sensing, 2003, 7 (4):… 241-244 (CSCD)

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[1]Lixin Zhang, Chunxiang Cao. Construction technology and economic benefit of larch wood forest [J]. Inner Mongolia forestry science and technology,199, 2: 39-40. (CSCD)

发表会议论文

[53]Haifang Guo, Min Xu, Binbin, He, CAO Chunxiang. Analysis of land use change in the urbanization. EOBAR 2016, Beijing, China. (EI)

[52]CAO Chunxiang, FANG Zhou, CHEN Wei, JIANG Houzhi. Risk prediction and analysis for SOD in world and China based on spatial information technology. EOBAR 2016, Beijing, China. (EI)

[51]Xuejun Wang, Yuxing Zhang, Enping Yan, Guosheng Huang, Chunxiang Cao, Xiliang Ni, DEFORESTATION AREA ESTIMATION IN CHINA BASED ON LANDSAT DATA, IGARSS 2014.(EI)

[50]Zaichun Zhu, Chunxiang Cao, Ranga Myneni, Xiliang Ni, Min Xu, Yunfei Xu. Global Data Sets of LAI3g and FPAR3g Derived from GIMMS NDVI3g for the Period 1981 to 2011. The Third International Workshop on Diagnosis of Environmental Health by Remote Sensing, 2013.

[49]Xiliang Ni, Chunxiang Cao, Ranga Myneni, Zaichun Zhu, Min Xu, Yunfei Xu. Allometric Scaling and Resource Limitations (ASRL) Model Based Estimation of Forest Biomass over China. The Third International Workshop on Diagnosis of Environmental Health by Remote Sensing, 2013.

[48]M. Xu, C.X. Cao, et al, THE USE OF ENVIRONMENTAL VARIABLES TO PREDICT CHOLERA HAZARD, IGARSS 2013. (EI, Accepted)J. Zhao, C.X. Cao, et al, HUMAN SETTLEMENT SUITABILITY ASSESSMENT CONSIDERING CLIMATE AND DEM, IGARSS 2013. (EI, Oral)

[47]S.Zheng, C.X. Cao, et al. LAND SURFACE TEMPERATURE RETRIEVAL USING HJ-1B/IRS DATA AND ANALYSIS OF ITS EFFECT, IGARSS 2013. (EI, Oral))

[46]W. Chen, T. Sakai, C.X. Cao, et al. EXTRACTION OF BURNED FOREST AREA IN THE GREATER HINGGAN MOUNTAIN OF CHINA BASED ON LANDSAT TM DATA, IGARSS 2013. (EI, Oral))

[45]H.B. Xiang, C.X. Cao, et al. THE AUTOMATIC TREE DETECTION AND DELINEATION FROM AIRBORNE LIDAR, IGARSS 2013. (EI, Accepted)

[44]C.Liu, C.X. Cao, et al. A STUDY ON SITE QUALITY EVALUATION OF LARIX GMELINI IN ANSHAN CITY BASED ON SITE INDEX, IGARSS 2013. (EI, Accepted)

[43]D. Liu, C.X. Cao, et al. MONITORING THE DYNAMICS OF FOREST AREA BASED ON TM IMAGES, IGARSS 2013. (EI, Accepted)

[42]H.J. Tian, C.X. Cao, et al. TEMPORAL CHANGING ANALYSIS OF FOREST CROWN CLOSURE OF ANSHAN CITY BASED ON SPECTRAL MIXTURE ANALYSIS, IGARSS 2013. (EI, Accepted)

[41]A. SAOKARN, C.X. Cao, et al. URBAN AREA TEMPORAL CHANGING ANALYSIS AND MODELING IN CHIANG MAI, THAILAND’, IGARSS 2013. (EI, Accepted)

[40]Chunxiang Cao, Guanghe Li, Sheng Zheng, Jinquan Cheng, Guangchun Lei, Kun Tian,  Yongsheng Wu, Xu Xie, Min Xu, Wei Ji. Research on the environmental impact factors of Hand-Foot-Mouth Disease in Shenzhen, China using RS and GIS technologies.IGARSS, 2012. (EI, Oral))

[39]Mengya Wang, Chunxiang Cao, Jianhong Guo, Shilei Lu, Sheng Zheng, Min Xu, Huicong Jia, Yunfei Xu, Bo Xu, Yiheng Zheng. Research on Urban Heat Island Effect during Beijing Urbanization Process by Remote Sensing and Its Impact on Environmental Health.IGARSS, 2012. (EI, Oral)

[38]Wei Chen, Tetsuro Sakai, Chunxiang Cao, Kazuyuki Moriya, Lina Koyama. Detection of forest disturbance in the Greater Hinggan Mountain of China based on Landsat time-series data. IGARSS, 2012. (EI, Oral))

[37]Xiliang Ni, Sungho Choi, Yuli Shi, Chunxiang Cao, Ranga B. Myneni. Forest biomass estimation of Northeastern USA using GLAS and TM data.IGARSS, 2012. (EI, Oral)

[35]Sheng Zheng, Chunxiang Cao, Guanghe Li, Shilei Lu, Min Xu, Huicong Jia. Incidence prediction of communicable diseases after the Wenchuan earthquake using remote sensing.IGARSS, 2012. (EI, Oral)

[34]Haibing Xiang, Chunxiang Cao, Huicong Jia, Min Xu, Ranga B. Myneni. The analysis and study on the accuracy of dem retrieval by the ground lidar point cloud data extraction methods in mountain forest areas. IGARSS, 2012. (EI, Accepted)

[33]Cheng Liu, Chunxiang Cao,Tetsuro Sakai, Jianlong Zhang, Aiguo Ma, Wei Chen, Min Xu. Predicting the adaptability of sudden oak death in China using spatial information techology.IGARSS, 2012. (EI, Oral)

[32]Rong Tian, Chunxiang Cao, Guangchun Lei, Kun Tian, Jingnong Weng, Huicong Jia, Min Xu, Haibing Xiang.Health assessment of the water-level-fluctuation zone(WLFZ) in the Three Gorges area based on spatial information technology. IGARSS, 2012. (EI, Oral)

[31]Peera Yomwan, Chunxiang Cao, Preesan Rakwatin, Pakorn Apaphant, The risk analysis for infectious disease outbreaks in flood disaster based on spatial information technologies. IGARSS, 2012. (EI, Oral)

[30]Zhou Fang, Chunxiang Cao, Wanshou Jiang, Shilei Lu, Wei Ji, Min Xu. Multi-spectral Image Inter-band Registration Technology Research.IGARSS, 2012. (EI, Accepted)

[29]J. Zhao, C.X. Cao, P. Yomwan. Aboveground Shrub Biomass Estimation Based on Landsat Data in Mu Us Sandy Land, China. The 33th Asia Conference of Remote Sensing, 2012. (EI, Oral)

[28]Yomwan, P., Cao, C. X., Zhao, J., Tian, R. and Suphamitmongkol, W., Epidemic risk assessment of acute watery diarrhea for the 2011 Ayutthaya flood disaster using remote sensing and water quality. The 33rd Asian Conference on Remote Sensing (ACRS2012), Pattaya, Thailand, November 26-30, 2012. (Oral)

[27]Jian Zhao, Chunxiang Cao, Hao Zhang, Sheng Zheng, Huicong Jia, Wei Ji, Mengxu Gao, Min Xu, Xiliang Ni, Wei Chen, Rong Tian, Cheng Liu, Xiaowen Li. Shrub biomass estimation in mu us sandland using go model and multi-angle observations. IGARSS, 2011, 3046-3049. (EI)

[26]Zheng Sheng, Cao Chunxiang, Chen Jinquan, Wu Yongsheng, Xie Xu, Zhang Hao, Ji Wei, Xu Min, Jia Huicong, Gao Mengxu, Zhao Jian, Ni Xiliang, Chen Wei, Tian Rong, Liu Cheng & Li Xiaowen. Application of CCD data of HJ-1 satellite in PM10 evaluation in Shenzhen, China. IGARSS, 2011, 3312-3315. (EI)

[25]Wei Chen, Chunxiang Cao, Hao Zhang, Huicong Jia, Wei Ji, Min Xu, Mengxu Gao, Xiliang Ni, Jian Zhao, Sheng Zheng, Rong Tian, Cheng Liu. Estimation of shrub canopy cover based on a geometric-optical model using HJ-1 data. IGARSS, 2011, 1922-1925. (EI)

[24]C.X. CAO, J. ZHAO, P. GONG et al. Wetland changes and droughts in southwestern China [J]. Geomatics, Natural Hazards and Risk. 2011, (EI, Oral)

[23]ChunxiangCao, Min Xu, Yunfei Bao, Hao Zhang. SYNCHRONOUS RETRIEVAL OF FOREST CANOPY COVER BY AIRBORNE LIDAR AND OPTICAL REMOTE SENSING[C]. IGARSS, 2010: 2660 – 2663.(EI, Oral)

[22]M. X. Gao, C. X. Cao, H. Zhang, et.al.. The Valuation of Ecological Security in the City of Xi’an Based on GIS[C].  ISDE6, 2009.

[21]M. Xu, C.X. Cao, H. Zhang, Q.S. He, M.X. Gao. Study on vegetation fractional coverage and its dynamic change in Mu Us desert based on SMA[C]. ISDE’06, 2009.

[20]Min Xu, Chunxiang Cao, Hao Zhang, Yong Xue, Yingjie Li, JianPing Guo , Caoyi Chang, Qisheng He, Mengxu Gao, Xiaowen Li. Change Detection of The tangjiashan Barrier Lake based on multi-source remote sensing data[C]. IGARSS, 2009, 4: 303-306.[EI]

[19]Qisheng He, Chunxiang Cao, Erxue Chen , Qingwang Liu, Hao Zhang. Estimation of Stand-Level Forest Biophysical Parameters in Picea crassifolia Stand Using Small-Footprint Airborne LIDAR Data[C].ISDE6.2009.

[18]Qisheng He, Chunxiang Cao, Erxue Chen , Feilong Ling , Hao Zhang. Relationship between SAR and Biomass Derived from LiDAR in Mountain Areas[C]. APSAR, 2009: 136 – 139 (EI and ISTP)

[17]HE Binbin, CHEN Cuihua , ZHUANG Yongcheng, YAN Souxun, WU Xiaobo, HE Qisheng, CAO Chunxiang, LI Xiaowen. Metallizing Information Extraction and Metallogenic Prognosis by Fusing Beijing-1 Microsatellite Data and Geochemistry Abnormal Data in the Middle of Eastern Kunlun in Qinghai Province[C]. Proceedings of SPIE.

[16]Jianping Guo, Jinsong Shen, Zenglin Yi, Xiaodong Jin, Yong Xue, ChunXiang Cao, Jiahua Zhang, Xiaoye Zhang. Monitoring of Air Pollution over Urban Area from MODIS[C]. Proceeding of the 2nd IEEE International Conference on Bioinformatics and Biomedical Engineering, May16-18, 2008, Shanghai.

[15]Jianping Guo, Huadong Xiao, Chunxiang Cao, Yong Xue, Jie Guang, Jianwen Ai. Fast Aerosol Optical Depth Retrieval from MODIS[C]. Proceedings of IEEE/IGARSS held at Boston, MA, USA, 2008.  [EI]

[14]Yunfei Bao, Chunxiang Cao, et al.  A new approach for DTM generation in forested area using airborne LIDAR height and intensity data[C].9th PORSEC.

[13]Chaoyi Chang, Chunxiang Cao, et al. Risk Analysis and Prediction: The Highly Pathogenic Avian Influenza in Mainland China Using Meta-Modelling Incorporating Spatial and Temporal Autocorrelation[C]. 9th PORSEC.

[12]Mengxu Gao,Chunxiang Cao.et al. The correlativity analysis between infectious disease and ecological environment changes in WenChuan earthquake disaster areas based on RS and GIS[C]. 9th PORSEC.

[11]Qisheng He，Chunxiang Cao, et al. Spectrum Analysis and Information Extraction of Mineralized and Altered Rocks in the East Kunlun Area, Qinghai Using ASTER Data[C].9th PORSEC.

[10]Linyan Bai, Chunxiang Cao, et al. A new fast and synthytic methodology for interpreting geological fracture structure, based on multi-source remotely sensed data: a case of Wulonggou zone in NQDM-EKL region[C]. 9th PORSEC,2008.

[9]He Q S, Li G P, Cao C X, et al. Quantitative Estimation of Desertification Degree Based on PCA Fusion and SVM using CBERS-02B[C]. ISPRS 2008 Beijing, China. (ISTP)

[8]Bao Y., Li G., Cao C. Li X., Zhang H., He Q., et al.. Classification of LIDAR point Cloud and generation of DTM from LIDAR height and intensity data in forested area[C].ISPRS 2008, Beijing, China.

[7]Guo J. P., H. D. Xiao, C. X. Cao, Y. Xue, J. Guang, J. W. Ai，and X. Z. Xin. Fast Aerosol Optical Depth Retrieval from MODIS[C].Proceedings of International Geoscience and Remote Sensing Symposium, 2008.07.

[6]Y. Bao, C. Cao, E. Chen, Z. Li, C. Chang, X. Li, 2007.Segmentation to the point clouds of LIDAR data based on change of Kurtosis[C]. International Symposium on Photo-electronic Detection and Imaging. ISPDI 2007, Beijing.

[5]Jianping Guo, Yong Xue, Shaobo Zhong, Chunxiang Cao, Wuchun Cao, Xiaowen Li, and Liqun Fang, 2006, Risk Factors Analysis of High Pathogenic Avian Influenza in Mainland China Using GIS and Remote Sensing[C]. Proceedings of IEEE/IGARSS held at Denver, Colorado, USA, 31 July-04 August 2006. [EI]

[4]Shaobo Zhong, Yong Xue, Chunxiang Cao, Wuchun Cao, Xiaowen Li, Jianping Guo, and Liqun Fang, 2005, The application of space/time analysis tools of GIS in spatial epidemiology: A case study of Hepatitis B in China using GIS[C]. Proceedings of IGASS 2005, Seoul, South Korea, 2005, 1612 – 1615. [EI]

[3]Jianping Guo, Yong Xue, Chunxiang Cao, Wuchun Cao, Shaobo Zhong, Guoyin Cai, Xiaowen Li, Liqun Fang. Study on the Highly Pathogenic Avian Influenza  Epidemic Using Land Suce Temperature from MODIS Data[C]. Proceedings of IEEE/IGARSS held at Soul, Korea, 25-29 July 2005, pp.3599- 3602. [EI]

[2]Shaobo Zhong, Yong Xue, Cunxiang Cao, Jianqin Wang, Jianping Guo, Yanguang Wang, Yincui Hu, Ying Luo, Guoyin Cai, and Jiakui Tang. Explore Disease Mapping of Hepatitis B Using Geostatistical Analysis Techniques[J]. Lecture Notes in Computer Science, 2005, Vol.3516，pp.464-471.（ISTP）

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