马俊 - 复旦大学 - 生命科学学院

个人简介

马俊，男，博士，1987年出生， 2015年于中国科学院沈阳应用生态研究所获生态学博士学位。2015-2017年于复旦大学生物多样性科学研究所从事博士后研究。2017年以来任复旦大学青年副研究员、副研究员岗位。

研究领域

生态遥感与景观生态学。利用遥感、地理信息系统、生态模型等方法在多尺度探索景观格局动态和生态系统过程的相互关系，主要关注：（1）全球变化背景下森林、城市、农田、湿地等景观格局动态与生态系统过程相互关系；（2）基于遥感大数据平台（GEE）的土地利用遥感分类制图及土地利用变化的生态效应；（3）基于卫星遥感和无人机遥感（LiDAR、多光谱、高光谱等）的植被碳循环参数（生物量、生产力、物候动态）估算。

近期论文

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Wei S. Y., Chen Q. J., Wu W. B., Ma J.* 2021. Quantifying the indirect effects of urbanization on urban vegetation carbon uptake in the megacity of Shanghai, China. Environmental Research Letters, 16, 064088. Xu J.X., Ma J.*, Tang Y.N., Wu W.X., Shao J.H., Wu W.B., Wei S.Y., Liu Y.F., Wang Y.C., Guo H.Q. 2020. Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data. Remote Sensing. 12(17), 2823. Ma J.*, Xiao X. M., Li R. H., Zhao B., Myint Soe W. 2020. Enhanced spring phenological temperature sensitivity explains the extension of carbon uptake period in temperate forest protected areas. Forest Ecology and Management, 455, 117679. Zhong Q. Y., Ma J.*, Zhao B., Wang X. X., Zong J. M., Xiao X. M*. 2019, Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000–2016. Remote Sensing of Environment. 233, 111374. Ma J.*, Xiao X. M., Miao R. H., Li Y., Chen B. Q., Zhang Y., Zhao B., 2019, Trends and controls of terrestrial gross primary productivity of China during 2000–2016. Environmental Research Letters. 14, 084032. Wang Y. B., Ma J.*, Xiao X. M., Wang X. X., Dai S. Q., Zhao B.*, 2019, Long-Term Dynamic of Poyang Lake Surface Water: A Mapping Work Based on the Google Earth Engine Cloud Platform. Remote Sensing. 11(3), 313. Ma J., Xiao X. M., Zhang Y., Doughty R., Chen B. Q., Zhao B., 2018, Spatial-temporal consistency between gross primary productivity and solar-induced chlorophyll fluorescence of vegetation in China during 2007–2014. Science of the Total Environment. 639: 1241-1253. Ma J, Xiao X M, Bu R, Doughty R, Hu Y M, Chen B Q, Li X P, Zhao B. 2017, Application of the space-for-time substitution method in validating long-term biomass predictions of a forest landscape model. Environmental Modelling & Software.94: 127-139. Ma J, Xiao X M, Qin Y, Chen B Q, Hu Y M, Li X P, Zhao B. 2017, Estimating aboveground biomass of needleleaf, mixed and broadleaves forests in Northeastern China through analysis of 25-m ALOS/PALSAR mosaic data. Forest Ecology and Management, 389: 199-210. Ma J, Bu R C, Liu M, Chang Y, Qin Q, Hu Y M. 2015, Ecosystem carbon storage distribution between plant and soil in different forest types in Northeastern China. Ecological Engineering, 81: 353-362.