一、教师基本信息

姓名： 陈琳

办公电话：无，办公室勤园23-309

邮箱：chenlin@djbet88.net

指导专业：地理信息科学

二、研究领域及方向

森林植被参数遥感反演、土地利用变化及其环境效应遥感监测（侧重湿地变化和城市扩张的时空格局分析）和土壤属性数字制图

三、主讲课程

【本科生】《地理信息科学前沿》、《中国对地观测和深空探测网》、《科学数据管理》、《地球科学概论》、《地图学》、《经济地理学》和《土地管理基础与地籍管理》

【研究生】《地理学理论与方法》、《遥感地学分析》

四、教育及工作经历

2020年7月 于中国科学院大学大学获地图学与地理信息系统专业博士学位（推免硕博连读）

2015年7月 于长安大学获资源环境与城乡规划管理专业学士学位

2019年11月 于美国罗德岛大学完成为期一年的联合培养博士学习（国家留学基金委资助）

2020年7月——至今 杭州师范大学电子竞技博彩 专任教师

五、学术简介

陈琳，理学博士，讲师，获中国科学院院长特别奖，入选杭州市高层次人才特殊支持计划，主持国家自然科学基金和浙江省自然科学基金各一项，以第一作者身份发表SCI论文12篇，其中中科院分区二区及以上9篇。主要从事森林植被参数遥感反演、土地利用变化及其环境效应遥感监测和土壤属性数字制图等方面的研究。担任International Journal of Digital Earth, GIScience&Remote Sensing, Sustainable Cities and Society, Remote Sensing, International Journal of Remote Sensing, Forests, Journal for Nature Conservation, Chinese Geographical Science, Environmental Science and Pollution Research, Advances in Space Research等国际学术期刊审稿。

六、科研成果

【科研项目】

[1] 结合卫星动态监测和多源遥感技术反演的森林地上生物量时空分布估算，国家自然科学基金青年项目，2024，主持。

[2] 整合不同林型地面实测和主被动多源遥感数据估算森林地上生物量，浙江省自然科学基金探索青年项目，2024，主持。

[3] 东北森林生态系统监测与评估技术研究，“十三五”国家重点研发计划子课题，参与。

[4] 近30年来长春市城市扩张对区域土壤有机碳储量的影响，国家自然科学基金面上项目，参与。

[5] 滨海湿地生态系统类型和模式演化规律研究，国家重点基础研究发展计划子课题，参与。

【发表论文】

[1] Lin Chen, Chunying Ren*, Bai Zhang, Zongming Wang, Mingyue Liu., Weidong Man, Jiafu Liu. Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed Forests Ecoregion (CMMFE), Northeast China. International Journal of Applied Earth Observations and Geoinformation, 2021, 100, 102326. IF: 7.5. JCRQ1.

[2] Lin Chen, Chunying Ren*, Bai Zhang, Zongming Wang, Weidong Man, Mingyue Liu. Improved object-based mapping of aboveground biomass using geographic stratification with GEDI data and multi-sensor imagery. Remote Sensing, 2023, 15, 2625. IF: 5. JCRQ1.

[3] Lin Chen, Chunying Ren*, Guangdao Bao, Bai Zhang, Zongming Wang, Mingyue Liu., Weidong Man, Jiafu Liu. Improved object-based estimation of forest aboveground biomass by integrating LiDAR data from GEDI and ICESat-2 with multi-sensor images in a heterogeneous mountainous region. Remote Sensing, 2022, 14, 2743. IF: 5. JCRQ1.

[4] Lin Chen, Yeqiao Wang, Chunying Ren*, Bai Zhang, Zongming Wang. Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass mapping using random forest kriging. Forest Ecology and Management, 2019, 447, 12-25. IF: 3.7. JCRQ1.

[5] Lin Chen, Bin Zhou*, Weidong Man, Mingyue Liu. Landsat-based monitoring of the heat effects of urbanization directions and types in Hangzhou City from 2000 to 2020. Remote Sensing, 2021, 13, 4268. IF: 5. JCRQ1.  

[6] Lin Chen, Chunying Ren*, Bai Zhang, Zongming Wang, Yeqiao Wang*. Mapping spatial variations of structure and function parameters for forest condition assessment of the Changbai Mountain National Nature Reserve. Remote Sensing, 2019, 11, 3004. IF: 5. JCRQ1.  

[7] Lin Chen, Yeqiao Wang, Chunying Ren*, Bai Zhang, Zongming Wang. Optimal combination of predictors and algorithms for forest above-ground biomass mapping from Sentinel and SRTM data. Remote Sensing, 2019, 11, 414. IF: 5. JCRQ1.

[8] Lin Chen, Chunying Ren*, Bai Zhang, Zongming Wang. Multi-sensor prediction of stand volume by a hybrid model of support vector machine for regression kriging. Forests, 2020, 11, 296. IF: 2.9. JCRQ1.

[9] Lin Chen, Chunying Ren, Bai Zhang*, Zongming Wang, Yanbiao Xi. Estimation of forest above-ground biomass by geographically weighted regression and machine learning with Sentinel imagery. Forests, 2018, 9, 582. IF: 2.9. JCRQ1.

[10] Lin Chen, Chunying Ren*, Bai Zhang, Zongming Wang, Mingyue Liu. Quantifying urban land sprawl and its driving forces in northeast China from 1990 to 2015. Sustainability, 2018, 10, 188. IF: 3.9. JCRQ2.

[11] Lin Chen, Chunying Ren*, Bai Zhang, Lin Li, Zongming Wang, Kaishan Song. Spatiotemporal dynamics of coastal wetlands and reclamation in the Yangtze Estuary during past 50 years (1960s–2015). Chinese Geographical Science, 2018, 28, 386-399. IF: 3.4. JCRQ2.

[12] Lin Chen, Chunying Ren*, Lin Li, Yeqiao Wang, Bai Zhang, Zongming Wang, Linfeng Li. A comparative assessment of geostatistical, machine learning, and hybrid approaches for mapping topsoil organic carbon content. ISPRS International Journal of Geo-Information, 2019, 8, 174. IF: 3.4. JCRQ2.

[13] 陈琳，任春颖*，王灿，等. 6个时期黄河三角洲滨海湿地动态研究. 湿地科学，2017，15(2)：179-186.

[14] 陈琳，任春颖*，王宗明，等. 基于克里金插值的耕地表层土壤有机质空间预测. 干旱区研究，2017，34(4)：798-805.

[15] 陈琳，任春颖*，王宗明，等. 黄河三角洲滨海地区人类干扰活动用地动态遥感监测及分析. 湿地科学，2017，15(4)：613-621.

[16] Chunying Ren, Lin Chen, Zongming Wang, Bai Zhang*, et al. Spatio-temporal changes of forests in Northeast China: insights from Landsat images and geospatial analysis. Forests, 2019, 10, 937. IF: 2.9. JCRQ1.

[17] Chunying Ren, Zongming Wang*, Yuanzhi Zhang*, Bai Zhang, Lin Chen, et al. Rapid expansion of coastal aquaculture ponds in China from Landsat observations during 1984–2016. International Journal of Applied Earth Observation and Geoinformation, 2019, 82, 101902. IF: 4.65. JCRQ1. Highly cited.

[18] Chunying Ren, Zongming Wang, Bai Zhang*, Lin Li, Lin Chen, et al. Remote monitoring of expansion of aquaculture ponds along coastal region of the Yellow River Delta from 1983 to 2015. Chinese Geographical Science, 2018, 28, 430-442. IF: 3.4. JCRQ2.

[19] 何兴元*，任春颖，陈琳，等. 森林生态系统遥感监测技术研究进展. 地理科学，2018，38(7)：997-1011.

【教材（专著）】

[1] Lin Chen, Chunying Ren. Remote Sensing of Coastal Wetlands of the Yellow River Delta Region. In: The Coastal and Marine Environments, Second Edition, edited by Wang Y.; CRC Press, Boca Raton, FL, USA, 2020, pp. 307-316. //doi.org/10.1201/9780429441004-35.

[2] Lin Chen, Chunying Ren. Coastal Change: Remote Sensing of Wetlands in Yangtze River Estuary. In: Coastal and Marine Environments, Second Edition, edited by Wang Y.; CRC Press, Boca Raton, FL, USA, 2020, pp. 317-324. //doi.org/10.1201/9780429441004-36.

[3] Yeqiao Wang, Lin Chen. A Hybrid Approach for Mapping Salt Marsh Vegetation. In: Coastal and Marine Environments, Second Edition, edited by Wang Y.; CRC Press, Boca Raton, FL, USA, 2020, pp. 299-306. //doi.org/10.1201/9780429441004-34.

七、荣誉与奖励

[1] 2022年, 杭州市高层次人才特殊支持计划

[2] 2020年，中国科学院院长特别奖

[3] 2019年，博士国家奖学金

[4] 2014年&2012年，本科生国家奖学金