周玉科

时间:2009-05-01浏览:952

周玉科1984男,山东济宁人,博士,副研究员,硕士生导师。2013年于中国科学院地理科学与资源研究所(资源与环境信息系统国家重点实验室)获得博士学位; 20137201512月,中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,博士后;201512201912月,生态系统网络观测与模拟重点实验室,助理研究员;201912—至今,副研究员。具有工信部信息系统项目管理师(高级)资质。作为课题负责人和骨干承担、参与多项国家重点研发计划项目、国家自然科学基金、青年基金、中科院战略性先导科技专项、中科院STS项目。共发表论文46 2015至今,第一/通讯作者37篇,包括SCI收录12第一和通讯作者9),中文核心25第一/通讯21,其他论文9参编专著1获得国家发明专利9项,计算机软件著作权20余项。

 

研究领域和研究方向

研究领域: 遥感、GIS和时空大数据在生态学方面的应用,如植被物候变化遥感监测及生态效应、基于夜间灯光遥感的城市变化等。

研究方向: 生态遥感、时空大数据挖掘

代表性学术论文(*通讯作者).

[1] ZHOU Y. Relative Contribution of Growing Season Length and Amplitude to Long-Term Trend and Interannual Variability of Vegetation Productivity over Northeast China[J]. Forests, 2020, 11(1): 112.

[2] ZHOU Y, Fan J, Wang X. Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau. Plos One, 2020, https://doi.org/10.1371/journal.pone.0234848.

[3] Ni Y, ZHOU Y*, Fan J. Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau Using GIMMS NDVI3g Dataset. IEEE Access, vol. 8, pp. 56518-56527, 2020, doi: 10.1109/ACCESS.2020.2982661.

[4] ZHOU Y. Asymmetric Behavior of Vegetation Seasonal Growth and the Climatic Cause: Evidence from Long-Term NDVI Dataset in Northeast China[J]. Remote Sensing, 2019, 11(18): 2107.

[5] ZHOU Y. Characterizing the Spatio-Temporal Dynamics and Variability in Climate Extremes Over the Tibetan Plateau during 1960–2012[J]. Journal of Resources and Ecology, BioOne, 2019, 10(4): 397–414.

[6] ZHOU Y. Greenness Index from Phenocams Performs Well in Linking Climatic Factors and Monitoring Grass Phenology in a Temperate Prairie Ecosystem[J]. Journal of Resources and Ecology, 2019.

[7] ZHOU Y. Analyzing the Velocity of Vegetation Phenology Over the Tibetan Plateau Using Gimms NDVI3g Data[J]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018, 42: 3.

[8] ZHOU Y. a R-Shiny Based Phenology Analysis System and Case Study Using Digital Camera Dataset[J]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018, 42: 3.

[9] XU L, TU Z, ZHOU Y et al. Profiling human-induced vegetation change in the horqin sandy land of China using time series datasets[J]. Sustainability, 2018, 10(4): 1068.

[10] NI X, CAO C, ZHOU Y* et al. Spatio-temporal pattern estimation of PM2. 5 in Beijing-Tianjin-Hebei Region based on MODIS AOD and meteorological data using the back propagation neural network[J]. Atmosphere, 2018, 9(3): 105.

[11] ZHOU Y. Analyzing the velocity of urban dynamic over Northeastern China using DMSP-OLS night-time lights.[J]. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2017, 42.

[12] NI X, CAO C, ZHOU Y* et al. Estimation of forest biomass patterns across northeast China based on allometric scale relationship[J]. Forests, 2017, 8(8): 288.

[13] NI X, XIE J, ZHOU Y* et al. Evaluating vegetation growing season changes in northeastern China by using GIMMS LAI3g data[J]. Climate, 2017, 5(2): 37.

[14] FU Z, DONG J, ZHOU Y et al. Long term trend and interannual variability of land carbon uptake - The attribution and processes[J]. Environmental Research Letters, 2017, 12(1).

[15] ZHOU Y, NIU S, XU L et al. Spatial analysis of growing season peak control over gross primary production in northern ecosystems using modis-GPP dataset[C]//2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017: 6221–6224.

[16] YANG G, HUA S, ZHOU Y*. Research on intracity OD patterns of rail and Bus Passengers in a second-tier city: A case study of Suzhou, China[C]//B T - International Conference on Geoinformatics. 2016.

[17] NI X, ZHOU Y, CAO C et al. Mapping forest canopy height over continental China using multi-source remote sensing data[J]. Remote Sensing, 2015, 7(7): 8436–8452.

[18] ZHOU Y, MA T, ZHOU C et al. Nighttime light derived assessment of regional inequality of socioeconomic development in China[J]. Remote Sensing, 2015, 7(2): 1242–1262.

[19] MA T, ZHOU Y, ZHOU C et al. Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data[J]. Remote Sensing of Environment, Elsevier, 2015, 158: 453–464.

[20] MA T, ZHOU Y, WANG Y et al. Diverse relationships between Suomi-NPP VIIRS night-time light and multi-scale socioeconomic activity[J]. Remote sensing letters, Taylor & Francis, 2014, 5(7): 652–661.

[21] 周玉科中国东北地区植被生产力控制因素分析地理学报, 2020(01).

[22] 周玉科基于去饱和夜光数据的北京建成区时空动态分析地理与地理信息科学, 2020(01): 6–11.

[23] 许文鑫周玉科*, 梁娟珠基于变化点的青藏高原植被时空动态变化研究[J]. 遥感技术与应用, 2019, 34(3): 667–676.

[24] 周玉科基于遥感的中国东北植被物候不对称特征分析[J]. 遥感技术与应用, 2019, 34(02): 123–132.

[25] 周玉科青藏高原植被 NDVI 对气候因子响应的格兰杰效应分析[J]. 地理科学进展, 2019, 38(5): 718–730.

[26] 周玉科中国东北植被生长幅度与长度对生产力长期趋势与变异影响分析[J]. 遥感学报, 2019.

[27] 梁娟珠许文鑫周玉科*. 基于遗传算法防重叠冲突的地图点标注方法研究[J]. 地理与地理信息科学, 2019(02): 6–11.

[28] 周玉科刘建文梁娟珠基于改进灰色关联的福州市避难所适宜性综合评价[J]. 地理与地理信息科学, 2018, 34(6): 63–70.

[29] 周玉科刘建文基于MODIS NDVI和多方法的青藏高原植被物候时空特征分析[J]. 遥感技术与应用, 2018, 33(3): 486–498.

[30] 周玉科基于数码照片的植被物候提取多方法比较研究[J]. 地理科学进展, 2018, 37(8): 1031–1044.

[31] 于贵瑞何洪林周玉科大数据背景下的生态系统观测与研究[J]. 中国科学院院刊, 2018, 33(8): 832–837.

[32] 刘建文周玉科*. 站点尺度的青藏高原时序 NDVI 重构方法比较与应用[J]. 地理科学进展, 2018, 37(3): 427–437.

[33] 周玉科刘建文王妍马尔科夫链蒙特卡洛算法并行化设计与性能分析[J]. 计算机应用与软件, 2017, 34(12): 250–256.

[34] 周玉科高琪范俊甫基于极端气温指数的青藏高原年际升温及不对称特征研究[J]. 地理与地理信息科学, 2017, 33(6): 64–71.

[35] 周玉科高锡章倪希亮利用夜间灯光数据分析我国社会经济发展的区域不均衡特征[J]. 遥感技术与应用, 2017, 32(6): 1107–1113.

[36] 周玉科岳跃民何洪林等环江喀斯特生态站无人机遥感植被指数数据集[J]. 中国科学数据. 2016.

[37] 周玉科周成虎马廷等基于数据分治与双层索引的并行点面叠加分析方法研究[J]. 地理与地理信息科学, 2015, 31(2): 1–6.

 

招生专业测绘科学与技术(学硕);资源与环境(测绘工程方向,专硕)。

招生方向生态遥感、大数据驱动的地理学和生态学研究

 

联系电话:

E-mail zhouyk@igsnrr.ac.cn

 

欢迎具有地理学、遥感与地理信息系统、生态学等背景的同学报考。

更新日期:2020730