个人简介：

甄贞，女，博士，副教授，博士生导师；林业遥感与地理信息系统方面专家，国际SCI期刊GIScience & Remote Sensing编委会成员，Remote Sensing审稿委员会成员；主要从事林业遥感与地理信息系统、时空统计模型、抽样技术、土地利用类型分类等相关研究及教学工作；主持国家科学基金面上项目1项、青年项目1项、中央高校基本科研业务费专项基金项目2项和横向课题2项，参与多项国家自然科学基金面上项目及“十三五”项目。发表中英文论文近30篇，其中SCI/SSCI/EI论文16篇；出版学术专著1部（科学出版社出版），主编教材2部；主讲三门本科生课程，包括抽样技术与建模、遥感物理和地理信息科学专业英语；主讲两门研究生全英文课程，包括“3S”技术及其应用进展和GIS应用；截至目前指导毕业硕士5人（含联合指导）。

学习经历：

2010/08-2013/08，纽约州立大学，环境科学与林业学院，森林资源管理学，博士

2011/08-2012/12，纽约州立大学，环境科学与林业学院，环境资源工程学科，硕士

2007/09-2010/07，东北林业大学，林学院，森林经理学，硕士

2003/09-2007/07，东北林业大学，林学院，地理信息系统，学士

工作经历：

2013/10-2017/12，东北林业大学，林学院森林经理学科，讲师

2018/01-至今，东北林业大学，林学院森林经理学科，副教授、硕导

代表性成果：

1. Qing Wei, Lianjun Zhang, Wenbiao Duan,Zhen Zhen^*. Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018. International Journal of Environmental Research and Public Health, 2019, 16(24), 5107

2. Yinghui Zhao, Yuanshuo Hao,Zhen Zhen^*, and Ying Quan. A region-based hierarchical cross-section analysis for individual tree crown delineation using ALS data. Remote Sensing, 2017, 9(10): 1084.

3. Zhen Zhen, Lindi J. Quackenbush^*，and Lianjun Zhang. Trends in automatic individual tree crown detection and delineation—evolution of LiDAR data. Remote Sensing, 2016, 8(4),333.

4. Zhen Zhen, Lindi J. Quankenbush, Stephen V. Stehman, and Lianjun Zhang*. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data. International Journal of Remote Sensing, 2015, 36 (7), 1965–1993.

5. Zhen Zhen, Lindi J. Quackenbush^*, and Lianjun Zhang. Impact of tree-oriented growth order in marker-controlled region growing for individual tree crown delineation using airborne laser scanner (ALS) data. Remote Sensing, 2014, 6, 555-579.

6. Zhen Zhen, Lindi Quackenbush^*, Stephen V. Stehman and Lianjun Zhang. Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification. International Journal of Remote Sensing. 2013, 34, 6914-6930.

项目：

1. 森林植物生态学教育部重点实验室开放基金，项目名称：黑龙江省森林生态系统对大气细颗粒物时空分布特征的影响，参加

2. 国家自然科学基金面上项目，项目名称：基于单木探测技术的多尺度森林地上生物量估测及其空间不确定性分析，主持

3. 国家重点研究计划子课题（十三五），子课题名称：落叶松人工林林分动态模拟技术研究，参加

4. 国家自然科学基金面上项目，项目名称：基于多源遥感及层次贝叶斯时空模型的多尺度森林参数，参加

5. 中央高校基本科研业务费专项基金项目-科学前沿与交叉学科创新基金项目，项目名称：基于主被动遥感技术的单木树冠参数提取，主持

6. 首都师范大学合作项目，项目名称：机载激光雷达数据处理与分析，主持

7. 国家青年科学基金项目，项目名称：基于多元遥感数据及树木竞争机制的三维单木树冠提取，主持

8. 中央高校基本科研业务费专项基金项目-青年教师项目，项目名称：基于遥感技术的单木树冠提取的研究，主持

论文：

1. Qing Wei, Lianjun Zhang, Wenbiao Duan,Zhen Zhen^*. Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018. International Journal of Environmental Research and Public Health, 2019, 16(24), 5107.

2. Nirmal Subedi, Lianjun Zhang, andZhen Zhen^*. Bayesian geographically weighted regression and its application for local modeling of Biogeosciences and Forestry. 2018, 11: 542-552.relationships between tree variables. iForest Biogeoscience and Forestry. 2018, 11:542-553.

3. Yinghui Zhao, Yuanshuo Hao,Zhen Zhen^*, and Ying Quan. A region-based hierarchical cross-section analysis for individual tree crown delineation using ALS data. Remote Sensing, 2017, 9(10): 1084.

4. Zhen Zhen^*, Yinghui Zhao, Yuanshuo Hao and Qingbin Wei. Development of accuracy assessment tool of individual tree crown delineation. International Geoscience and Remote Sensing Symposium (IGARSS) 2016 : 3186-3189.（EI）

5. Zhen Zhen, Lindi J. Quackenbush^*，and Lianjun Zhang. Trends in automatic individual tree crown detection and delineation—evolution of LiDAR data. Remote Sensing, 2016, 8(4),333.

6. Zhen Zhen, Lindi J. Quankenbush, Stephen V. Stehman, and Lianjun Zhang*. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data. International Journal of Remote Sensing, 2015, 36 (7), 1965–1993.

7. Zhen Zhen, Lindi J. Quackenbush^*, and Lianjun Zhang. Impact of tree-oriented growth order in marker-controlled region growing for individual tree crown delineation using airborne laser scanner (ALS) data. Remote Sensing, 2014, 6, 555-579.

8. Zhen Zhen, Lindi Quackenbush^*, Stephen V. Stehman and Lianjun Zhang. Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification. International Journal of Remote Sensing. 2013, 34, 6914-6930.

9. Zhen Zhen, Fengri Li, Zhaogang, Liu, Chang Liu, Yinglei Zhao, Zhihai Ma and Liangjun Zhang^*. Geographically local modeling of occurrence, count, and volume of downwood in Northeast China. Applied Geography, 2013, 37, 114-126

专著：

1. 单木树冠遥感法提取原理与技术，甄贞，赵颖慧编著，科学出版社，2017年5月

2. 地理信息科学专业英语,甄贞，姜立春，柯樱海等编著东北林业大学出版社, 2019年1月

3. 遥感导论-中文导读,柯樱海，甄贞，李晓娟等编著,中国水利水电出版社, 2019年1月

奖励：

1. 东北林业大学2019~2020年度教学质量二等奖，2020年10月

2. 第七届梁希青年论文奖三等奖，2018年6月

3. 东北林区主要树种（组）林木及林分动态预测技术，黑龙江省科学技术奖，二等奖（第8完成人），黑龙江省人民政府，2017年10月

4. 东北林区主要树种（组）基础模型系统的研究，梁希林业科学技术奖，二等奖（第6完成人），国家林业局，中国林学会，2017年4月

5. 2016年GIScience & Remote Sensing杂志最佳审稿人，2016年12月

6. 共享杯”第三届大学生科技资源共享服务大赛优秀指导教师奖，2015年12月

7. 东北林业大学2014~2015年度教学质量二等奖，2015年9月

联系方式：

邮箱：zhenzhen@nefu.edu.cn

电话：0451-82191219

Resume

Zhen Zhen, Doctor of Forest Management, Associate Professor, Master's supervisor, is expert in forestry remote sensing and geographic information system,a member of Editorial Aboard of GIScience & Remote Sensing, a member of Reviewer Aboard of Remote Sensing. Dr. Zhen’sresearch interest is focused on addressing a range of issues in forest resources monitoring and environmental science using geospatial technologies, temporal and spatial statistics, and artificial intelligence based on spatial data.She have managed seven projects as PI supported bythe National Natural Science Fundandthe Fundamental Research Funds for Central Universities.I have also participated in several projects, as a backbone member, supported bythe National Key Research and Development Plan Projects. Dr. Zhenpublished nearly 30 academic papers(in which 16 are SCI/SCIE/EI papers), andpublished one academic monograph and two textbooks.One paper published inRemote Sensing(first author) was rated as 1%Highly Cited Paper of Essential Science Indicators (ESI)in Geosciences in 2020.

Dr. Zhen is responsible for three undergraduate courses and two graduate courses per year.Theundergraduate coursesarephysics of remote sensing(required course, Chinese, 36 credits),sampling and modeling techniques(selective course, Chinese, 32 credits), andprofessional English for Geographic Information Science(required course, English and Chinese, 32 credits). The graduate courses aregeospatial technology and its applications(required course, English, 32 credits), andApplications of Geographic Information Systems(selective course, English, 32 credits). So far, one Ph.D. student (co-supervised), ten M.S. students are under Dr. Zhen’s supervision, and five M.S. students (including co-supervised students) have graduated.