助理研究员
博士
Email:nixl@radi.ac.cn
办公地点:中国科学院遥感与数字地球研究所B203
电话:010-64806228
倪希亮,男,山东泰安人。中国科学院遥感与数字地球研究所助理研究员。2011年9月,被派往美国波士顿大学地理与环境系,学习交流一年。研究方向:森林健康遥感。主要包括:激光雷达数据、光学遥感数据以及气象数据反演森林树高和生物量研究;植被生长方程与资源之间的尺度关系研究;森林与气候变化以及陆地碳循环的相互作用;森林病虫害的遥感监测研究。围绕 “森林健康遥感”研究方向,共发表学术论文25篇,其中SCI论文14篇(第一作者5篇,平均影响因子为2.48);出版专著1篇,在刊专著1篇;获得实用新型专利1项,申请国家发明专利1项;获得软件登记权4个;获得省部级奖项1项,其他各类奖项3项。共主持或参与项目14项。
教育背景
2010.9 – 2013.6,中国科学院遥感与数字地球研究所,地图学与地理信息系统,博士
2011.9 – 2012.9,美国波士顿大学,环境与遥感系,访问学者
2007.9 – 2010.6,山东科技大学,摄影测量与遥感,硕士
2002.9 – 2006.6,山东科技大学,统计学,本科
工作简历
2013.7- 至今 中国科学院遥感与数字地球研究所 助理研究员
承担或参与的项目
(1)遥感科学国家重点实验室探索项目“基于多源数据的森林最大树高遥感反演研究”(主持)
(2)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”(参加)
(3)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” (参加)
(4)美国NASA遥感理论计划 “联合激光雷达数据和In-SAR数据的傅里叶组分森林生物量估算研究”(参加)
(5)水利部公益性行业科研专项经费项目“东北灌区节水灌溉生态与增产效应评估研究”(参加)
(6)CAS-TWAS项目 “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”(参加)
(7) 国家自然基金“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”(参加)
(8)国家自然基金“干涉SAR与LIDAR森林参数协同反演模型与方法”(参加)
(9) 国家林业局项目“湿地生态系统评价体系研究”
(10)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” (参加)
获得专利及软件著作权情况
专利:
(1)双色红外成像系统(已获授权:ZL201520107128.8,授权日期:2015年7月8日)
(2)利用遥感数据和专家知识库进行洪水引发腹泻爆发风险遥感诊断的算法 (申请号:201510800990.1,实质审查阶段)
软件著作权:
(1)传染病可视化与预测预警系统
(2)城市级传染病模拟与分析系统
获得奖励情况
1、辽宁林业科学技术一等奖“鞍山市森林资源年度监测技术体系研发与应用”(2014)
2、IBM Shared University Research Award “Air quality monitoring based on cloud computing and satellite data” (2016)
3、中国科学院遥感与数字地球研究所 优秀员工(2015)
4、中国科学院大学三好学生标兵(2012年)
5、第三届环境健康遥感诊断国际学术研讨会“大会优秀论文奖”(2013)
6、第五届环境健康遥感诊断国际学术研讨会“大会优秀论文奖”(2015)
出版专著
- 曹春香,倪希亮等,《森林地上生物量遥感诊断》,科学出版社,2015年10月
发表论文情况
发表期刊论文
[1]. .Ni, X.; Zhou, Y.; Cao, C.; Wang, X.; Shi, Y.; Park, T.; Choi, S.; Myneni, R.B. Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data. Remote Sens. 2015, 7, 8436-8452.(SCI)
[2]. 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. 2014,6, 3533-3553. (SCI)
[3]. XiLiang Ni, ChunXiang Cao, Lin Ding, Tao Jiang, Hao Zhang, HuiCongJia, GuangHe Li, Jian Zhao, Wei Chen, Wei Ji, Min Xu, MengXuGao, Sheng Zheng, RongTian, Cheng Liu, Sha Li. A fully automatic registration approach based on contour and SIFT for HJ-1 images. SCIENCE CHINA Earth Sciences, 2012,55(10): 1679-1687. (SCI)
[4].Sungho Choi, Xiliang Ni, Yuli Shi, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani and Ranga B. Myneni. Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. Remote Sens. 2013, 5:202-223. (SCI)
[5]. Chunxiang Cao, Xiliang Ni, Xuejun Wang, Shilei Lu, Yuxing Zhang, Yongfeng Dang & Ramesh P. Singh. 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, DOI: 10.1080/01431161.2015.1117682. (SCI)
[6]. Yuli Shi, Sungho Choi, Xiliang Ni, SangramGanguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, ShilongPiao, Chunxiang Cao, Ramakrishna R. Nemani and Ranga B. Myneni.Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA. Remote Sens. 2013, 5(1): 284-306, (SCI)
[7]. Zhao Xiaojie, Cao Chunxiang, Ni Xiliang, et al. Retrieval and application of leaf area index over China using HJ-1 data. Geomatics, Natural Hazards and Risk, 2016, 1 10.1080/19475705.2016.1238854. (SCI)
[8]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. (SCI)
[9]. 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. DOI: 10.1111/geb.12503 (SCI)
[10]. 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. (SCI)
[11]. Chunxiang Cao, Wei Chen, Guanghe Li, HuicongJia, Wei Ji, Min Xu, MengxuGao, Xiliang Ni, Jian Zhao, Sheng Zheng, RongTian, Cheng Liu, Sha Li. The retrieval of shrub fractional cover based on a geometric-optical model in combination with linear spectral mixture analysis. Canadian Journal of Remote Sensing, 2012,37(4): 348-358. (SCI)
[12]. Wei Chen, ChunXiang Cao, QiSheng He, HuaDongGuo, Hao Zhang, RenQiang Li, Sheng Zheng, Min Xu, MengXuGao, Jian Zhao, Sha Li, XiLiang Ni. Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1 CCD data in Mu Us Sandland. Science China Earth Sciences. 2010,53: 26-33. (SCI)
[13]. Hao Zhang, XiaoWen Li, ChunXiang Cao, Hua Yang, MengXuGao, Sheng Zheng, Min Xu, DongHuiXie, HuiCongJia, Wei Ji, Jian Zhao, Wei Chen, XiLiang Ni. Scale effects of leaf area index inversion based on environmental and disaster monitoring satellite data. SCIENCE CHINA Earth Sciences. 2010,53:92-98 (SCI)
[14].丁琳,倪希亮,江涛,胡顺石.基于不变特征的CCD影像与红外影像的自动配准[J].红外与激光工程, 2011,40(2):350-354.(EI)
[15]. 倪希亮,丁琳,江涛, 胡顺石.应用不变特征获取均匀控制点的遥感影像配准算法.测绘科学,201l,36(2):70-72. (CSCD)
[16]. 胡顺石,丁琳,秦建新,倪希亮. 基于Iαβ色彩空间和Contourlet变换相结合的融合方法. 计算机应用研究.2010.1521-1523(CSCD)
发表会议论文
[1]. Xiliang Ni, Yuli Shi, Sungho Choi, Chunxiang Cao, Ranga B Myneni. Estimation of tree heights using remote sensing data and an Allometric Scaling and Resource Limitations (ASRL) model. Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. 7248-7251, 2012. .(EI)
[2]. Tao Jiang, Xiliang Ni, Fang Lei, Liu Guolin, Ji Min, Sun Lin. Registration study of great resolution difference remote sensing image based on invariant feature. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, 995-998, 2010. .(EI)
[3].Shanning Bao, Chunxiang Cao, Jianxi Huang, Xiliang Ni, Min Xu. RESEARCH ON YIELDS ESTIMATION AND YIELDS INCREASING POTENTIAL BY IRRIGATION OF SPRING MAIZE IN NORTHEAST CHINA. Geoscience and Remote Sensing Symposium (IGARSS).2016.(EI)
[4].Xuejun Wang, Yuxing Zhang, Enping Yan, Guosheng Huang, Chunxiang Cao, Xiliang Ni, DEFORESTATION AREA ESTIMATION IN CHINA BASED ON LANDSAT DATA, IGARSS 2014.(EI)
[5]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)
[6]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)
[7]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)
[8]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.
[9]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.