陈耀亮副教授

发布者：孙杰发布时间：2019-05-06浏览次数：10678

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基本信息 Basic information

姓    名：陈耀亮

职    称：副教授

硕导/博导：硕导

最高学位：博士

行政职务：

其它兼职：

单    位：福建师范大学地理科学学院

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联系方式 Contact

通讯地址：福州市上三路32号福建师范大学仓山校区

邮政编码：350007

办公电话：    

电子邮箱：chenyl@fjnu.edu.cn

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研究方向 Research Interests

陆面模型、生态和水文模型、植被变化对碳水循环的影响------------------------------------------------------------------------------------------------------

个人履历 Resume

教  育：博士，浙大，遥感;硕士，中科院生地所，GIS；学士，新师大，GIS

工   作：2020年12月-至今，副教授，福建师范大学地理科学学院

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个人简介  Brief

陈耀亮，男，博士，副教授，硕士生导师，福建省高层次C类人才，《热带地理》青年编委，密歇根州立大学聘用访问学者。主要从遥感监测、陆面模型、生态和水文模型、植被变化对碳水循环的影响研究。目前在《Industrial Crops & Products》《Remote Sensing of Environment》《Agricultural and Forest Meteorology》《Journal of Hydrology》《ISPRS Journal of Photogrammetry and Remote Sensing》《International Journal of Applied Earth Observation and Geoinformation》等国内外专业期刊上共发表文章近20篇。并先后担任《Agricultural and Forest Meteorology》《Agricultural Water Management》《Remote Sensing of Environment》《Journal of Hydrology》《Applied Geography》《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》《ISPRS Journal of Photogrammetry and Remote Sensing》等国内外专业期刊的审稿专家。

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代表性论文 Selected Publications

  1. Feng G., *Chen Y., Mansaray, L.R., Xu H., Shi, A., Chen, Y., 2023. Propagation of Meteorological Drought to Agricultural and Hydrological Droughts in the Tropical Lancang-Mekong River Basin. Remote Sensing, 15(24), 5678.

  2. Chen Y., Wang S., Zhou R., Gnanamoorthy P., Song Q., Chen H., 2022. What leads to rubber leaf senescence in the northern edge of the Asian tropics?. Industrial Crops & Products, 178, 114617.

  3. Chen H., Gnanamoorthy P., *Chen Y., Mansaray L., Song Q., Liao K., Shi A., Feng G., Sun C., 2022. Assessment and Inter-Comparison of Multi-Source High Spatial Resolution Evapotranspiration Products over Lancang–Mekong River Basin, Southeast Asia. Remote Sensing, 14(3), 479.

  4. Chen Y., Peng Z., Ye Y., Jiang X., Lu D., Chen E., 2021. Exploring a uniform procedure to map Eucalyptus plantations based on fused medium–high spatial resolution satellite image. International Journal of Applied Earth Observations and Geoinformation, 103, 102462.

  5. Chen Y., Huang X., Huang J., Liu S., Lu D., Zhao S., 2021. Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China. GIScience & Remote Sensing, 58(2): 300–321.

  6. Chen, Y., Zhao, S., Xie, Z., *Lu, D., and Chen, E., 2020. Mapping multiple tree species classes using a hierarchical procedure with optimized node variables and thresholds based on high spatial resolution satellite data. GIScience & Remote Sensing. 57:4, 526-542, DOI: 10.1080/15481603.2020.1742459.

  7. Chen Y., Wang S., Ren Z., *Huang J., Wang X., Liu S., Deng H., and Lin W.   Increased evapotranspiration from land cover changes intensified water crisis in an arid river basin in northwest China. Journal of Hydrology, 2019, 574:383-397.

  8. Chen Y., Lu D., Luo L., Pokhrel Y., Deb K., *Huang J. and Ran Y. Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data. Remote Sensing of Environment, 2018, 204:197-211.

  9. Chen Y., *Lu D., Moran E., Batistella M., Dutra L., Sanches I., Silva R., Huang J., Luiz A. and Oliveira M. Mapping croplands, cropping patterns, and crop types using MODIS time-series data. International Journal of Applied Earth Observation & Geoinformation, 2018, 69:133-147.

  10. Chen Y., Song X., *Huang J. and Wang S. Impact of spatial heterogeneity on crop area mapping in Canada using MODIS data. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 119:451-461.

  11. Chen Y., *Luo G., Maisupova B., Chen X., Mukanov B., Wu M., Mambetov B., Huang J. and Li C. Carbon budget from forest land use and management in Central Asia during 1961–2010. Agricultural and Forest Meteorology, 2016, 221: 131-141.

  12. Chen Y., *Lu D., Luo G. and Huang J. Detection of vegetation abundance change in the alpine tree line using multi-temporal Landsat Thematic Mapper imagery. International Journal of Remote Sensing, 2015, 36(18): 4683-4701.

  13. 陈厚兵，*陈耀亮，宋清海，Montri Sanwangsri, Nuttapon Khongdee, 张晶. 2001-2020年澜湄流域热带地区土地覆被变化对蒸散发的影响[J]. 农业工程学报，2022,38(22): 113-122.

  14. 陈耀亮，黄鑫毅，*陆灯盛，刘姗姗等. 福建省 2019 年土地覆被类型 4846 个样本点数据集的内容与调查过程[J]. 全球变化数据学报, 2020, 4(1): 52-59.

  15. 陈耀亮, *罗格平, 叶辉，等. 1975-2005年土地利用/覆被变化对中亚森林生态系统碳储量的影响[J]. 自然资源学报, 2015, 30(3):397-408.

  16. 陈耀亮，*罗格平，叶辉，等. 近30年土地利用变化对新疆森林生态系统碳库的影响[J]. 地理研究，2013, 32（11）：1987-1999.

  17. Pang, S.; *Li, G.; Jiang, X.; Chen, Y.; Lu, Y.; and Lu, D. 2022. Retrieval of forest canopy height in a mountainous region with ICESat-2 ATLAS. Forest Ecosystems. 9: 100046.

  18. Zhao, S., Jiang, X., Li, G., Chen, Y., and *Lu, D., 2021. Integration of ZiYuan-3 multispectral and stereo data for mapping urban vegetation using the hierarchical-based classifier. International Journal of Applied Earth Observation and Geoinformation, 105, 102594.

  19. Jiang, X., Zhao, S., Chen, Y. and *Lu D. 2022. Exploring tree species classification in subtropical regions with a modified hierarchy-based classifier using high spatial resolution multisensor data. Journal of Remote Sensing. vol. 2022, pp. 16.

  20. 赵帅，曹美芹，蒋先蝶，陈耀亮，*陆灯盛，2022. 安徽省利辛县平原区人工林树种分类研究. 遥感技术与应用，37（3），589-598. DOI：10.11873/j.issn.1004⁃0323.2022.3.0589

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主要获奖成果 The Main Achievements

  1. 2017-2018  浙江大学人文社科优秀成果奖

  2. 2017-2018  浙江省优秀毕业生

  3. 2016-2017  密歇根州立大学优秀项目聘用访问学者

  4. 2015-2016  浙江大学博士研究生国家奖学金

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科研项目 Research projects

  1. 人工橡胶林的特殊陆面过程表征及其扩张对流域水资源的影响。国家自然科学基金面上项目，2023/1-2026/12，主持；

  2. 基于陆面过程模型的西双版纳热带橡胶林扩张对蒸散发的影响。国家自然科学基金青年项目，2020/1-2022/12，主持；

  3. 桉树人工林扩张对漳江流域蒸散发的影响研究。福建省自然科学基金面上项目，2022/3-2025/3，主持；

  4. 基于多源数据的西双版纳人工橡胶林落叶物候模型研究。中国科学院热带森林生态学重点实验室开放基金，2021/1-2022/12，主持；

  5. 单木-林分尺度人工林资源遥感精细监测技术 (人工林资源监测关键技术研究), 国家重点研发计划重点专项, 2017/7-2020/12, 子课题参与。

  6. WaterCube Project from Michigan State University: Linking Irrigation and Climate to Improve Forecasting，2016-2017，参与。

  7. 基于干旱区生态系统模型的中亚地区生态系统有机碳库估算及其对气候变化的响应研究，国家自然科学青年基金项目，2015-2017，参与。

  8. 天山北坡主要草地生态系统净初级生产力对放牧响应的模拟与实证研究，国家自然科学基金项目，2013-2016，参与。


欢迎有地理学、遥感和GIS、计算机科学、林学等背景的同学报考！