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赵峰

发布时间:2024年09月12日 12:58   点击:

个人简介:

赵峰,女,理学博士,教授,博士生导师,长期从事基于多源遥感与人工智能方法的森林干扰监测与模拟研究。荣获省-市-校级人才项目共4项,2024年以高层次人才引入东北林业大学工作。主持国家级和省部级项目共3项,曾独立主持美国林务局科研项目1项,并作为主要完成人参与美国地质调查局及航空航天局多项科研项目,获马里兰大学安伟丽优秀博士论文奖。在Remote Sensing of Environment,Forest Ecology and Management等国际主流期刊发表学术论文20余篇,其中第一或通讯作者12篇(含ESI高被引论文和Elsevier McBride最佳论文奖论文),编写针对高等教育师范生群体的《赌球网》教材一部(第一主编)。担任国家自然科学基金评审专家、《Frontiers in Remote Sensing副主编、《Forests》和《地理科学教育》编委,以及多个国际SCI顶级学术期刊审稿人。


学习经历:

2009/09-2015/07,美国马里兰大学,地理科学系,博士

2005/09-2009/07,北京林业大学,水土保持学院,学士


工作经历:

2024/07-至今, 东北林业大学,赌球网森林经理学科,教授、博导

2018/09-2024/06,华中师范大学,城市与环境科学学院,副教授、硕导

2018/07-2018/08,美国马里兰大学,地理科学系,研究助理教授

2016/05-2018/05,美国布鲁克海文国家赌球网官网环境与气候变化部,访问学者

2016/02-2016/03,美国林务局落基山研究中心,访问学者

2015/12-2018/06,美国林务局及马里兰大学联合项目,博士后助理研究员

2009/09-2015/11,美国马里兰大学,地理科学系,科研助理

2011/09-2011/12,美国马里兰大学,地理科学系,实验课讲师


代表性成果:

项目:

1. 2024 – 2027 协同光学与雷达采伐探测的南方桉树林月度林龄反演研究(国家自然科学基金面上项目,主持,在研)

2. 2020 – 2022 基于深度学习算法的森林扰动类型遥感分类方法研究(国家自然科学基金青年项目,主持,已结题)

3. 2019 – 2021 基于激光雷达数据的森林冠层可燃物特征遥感监测方法研究 (遥感科学国家重点赌球网官网开放基金,主持,已结题)

4. 2016 – 2018 Towards Annual Monitoring of FIA Plots by Integrating Forest Vegetation Simulator and Remote Sensing (美国林务局科研项目,主持,已结题)

5. 2013 – 2015 Assessing the Impacts of Land Management and Disturbances on Carbon Dynamics in the Greater Yellowstone Ecosystem (美国地质调查局项目,骨干)

6. 2011 – 2013 Ecosystem Disturbance and Fire: Patterns, Trends, and Greenhouse Gas Consequences (美国航空航天局项目,骨干)

7. 2009 – 2011 Integration of long term Landsat observations with DESDynI measurements for monitoring terrestrial carbon flux within and beyond the DESDynI mission (美国航空航天局项目,参与)

论文:

1. Sun R, Zhao F*, Huang C, Lu Z, Huang H, Zhao P, Ni X, Meng R (2023). Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery.Remote Sensing of Environment, 298:113821. (中科院SCI一区遥感类专业顶级期刊,IF=13.8)

2. Huang Z, Zhong L, Zhao F*, Wu J, Tang H, Lv Z, Xu B, Zhou L, Sun R, Meng R* (2023). A spectral-temporal constrained deep-learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery.ISPRS Journal of Photogrammetry and Remote Sensing, 204: 397-420. (中科院SCI一区遥感类专业顶级期刊,IF=11.7)

3. 王梦雨,赵峰*,庞勇,等.基于人工合成样本和随机森林回归模型的长时序中国寒温带森林类型和树种覆盖度反演研究.遥感学报, 2023,1-16.

4. Zhao F, Dai Z, Zhang W, Shan Y, Fu C* (2023). Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the Pandemic Across China’s Urban-Rural Gradient.Geo-spatial Information Science. (中科院SCI一区,IF=4.3)

5. Zhao F#, Sun R#, Zhong L#, Meng R*, Huang CQ, Zeng X, Wang M, Li Y, Wang Z (2022). Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning.Remote Sensing of Environment, 269: 112822. (中科院SCI一区遥感类专业顶级期刊,IF=13.8)连续多期ESI高被引论文

6. Zhou L, Meng R, Tan Y, Lv Z, Zhao Y, Xu B, Zhao F* (2022). Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment.Urban Forestry and Urban Greening, 69:127489. (中科院SCI一区,IF=5.8)

7. Wang MY#, Zheng Y#, Huang CQ, Meng R, Pang Y, Jia W, Zhou J, Huang Z, Fang L, Zhao F* (2022). Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China.Forest Ecosystems, 9:100032. (中科院SCI一区,IF=4.2)

8. Meng R, Xu B, Zhao F*, Dong Y, Wang C, Sun R, Zhou Y, Zhou L, Gong S, Zhang D* (2022). Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing.Urban Forestry and Urban Greening. (中科院SCI一区,IF=5.8) Elsevier McBride年度最佳论文奖

9. Zhao F*, Meng R, Gu H, Serbin S (2019). Assessing post-fire tree mortality and biomass change by integrating Lidar and hyperspectral data,IEEE International Geoscience and Remote Sensing Symposium.

10. Zhao F*, Healey SP, Huang CQ, McCarter J, Goeking S, Zhu Z (2018). Assessing the effects of fire disturbances and timber management on Carbon storage in the Greater Yellowstone Ecosystem.Environmental Management. (中科院SCI三区,IF=3.3)

11. Zhao F*, Meng R, Huang CQ, Zhao M, Zhao FA, Gong P, Yu L, Zhu Z (2016). Long-term post-disturbance forest recovery in the Greater Yellowstone Ecosystem analyzed using Landsat Time Series Stack.Remote Sensing, 8: 898. (中科院二区,IF=5.3)

12. Zhao F*, Huang CQ, Zhu Z (2015). Use of Vegetation Change Tracker and Support Vector Machine to map disturbance types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat time series.IEEE Geoscience and Remote Sensing Letters, 12: 1650-1654. (中科院二区,IF=5.3)

13. Zhao F*, Keane R, Zhu Z, Huang CQ (2015). Comparing historical and current wildfire regimes in the northern Rocky Mountains using a landscape succession model.Forest Ecology and Management, 343: 9-21.(中科院SCI一区,IF=4.3)

专著:

1. 赵峰,陈实.气候变化教育(35万字),华中师范大学出版社, 2024.

2. Meng R, Zhao F*. Review of remote sensing characterization of burn effects - burned area and burn severity.Remote sensing of hydro-meteorological hazards特邀章节(Taylor & Francis), 2017.

奖励:

1. 2024 东北林业大学成栋优秀青年学者

2. 2020 湖北省楚天学子

3. 2020 武汉市黄鹤英才优秀青年人才

4. 2019 华中师范大学桂子青年学者

5. 2015 Ann Wylie Graduate Dissertation Fellowship ($10,800)

6. 2015 Candidacy Tuition Award from Graduate School, University of Maryland

7. 2015 Excellence in Graduate Research Award from University of Maryland

其他:

1. 郑义,陈实,常珊珊,赵峰*.中学生气候变化知识水平评估的全球现状分析与教学策略参考[J].地理教学, 2022.

2. 许福慧,郑义,陈实,赵峰*.中学生气候变化态度量表量化评估及教学启示[J].地理教学, 2022.

3. 周瑜,陈实,常珊珊,赵峰*.高中地理实施气候变化教育的教材基础与教学策略[J].地理教学, 2021, 22:10-14.


联系方式:

邮箱:fzhao@magdionline.com



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