助理教授(副研究员)/博士生导师 环境科学与工程学院

助理教授。武汉大学博士,国家特支计划青年人才,广东省珠江青年学者,中国环境科学协会青年科学家奖获得者。曾在美国南佛罗里达大学海洋学院从事博士后工作,并担任美国国家海洋和大气管理局(NOAA)水环境顾问。主要研究方向为气候变化和人类活动影响下的海岸带与内陆水环境遥感研究。主持国家级科研项目5项,省部级及其它项目>10项。发表SCI论文70多篇,其中一半以上刊登在Nature,Remote Sensing of Environment, Journal of Geophysical Research, Environmental Science & Technology 等期刊,Google Scholar引用>2700次(H-index:28),单篇最高>350次,并入选ESI高引论文。研究工作被中央电视台、美国NASA、国际海洋水色协调工作组(IOCCG)等报道,也在国内相关部门(环保部卫星应用中心、中国资源卫星应用中心、江西省地理信息中心等)得到成功应用。

个人简介

工作经历:

  • 2017.09-       ,助理教授/副研究员,博士生导师
  • 2015.01-2017.08,美国南佛罗里达大学,博士后
  • 2016.10-2017.08,武汉大学,测绘遥感信息工程国家重点实验室,副教授
  • 2013.07-2016.10,武汉大学,测绘遥感信息工程国家重点实验室,讲师
  • 2012.05-2015.02,美国国家海洋和大气管理局Industrial Economics公司,水环境顾问

教育背景:

  • 2008.09-2013.07,“1+4”硕博连读,地图学与地理信息系统,武汉大学测绘遥感信息工程国家重点实验室
  • 2010.10-2012.10,教育部公派博士生联合培养,美国南佛罗里达大学
  • 2004.09-2008.07,本科,地理信息系统,长江大学

社会兼职:

  • IEEE Access, 副主编
  • Remote Sensing in Earth System Sciences,副主编
  • 学术期刊审稿人(>150次): Remote Sensing of Environment, Journal of Geophysical Research, Water Resource Research, Environmental Research Letters, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE JSTAEOR, IJRS, Chinese Science Bulletin, etc.
  • 比利时科技政策办公室对地观测项目,中国国家自然科学基金青年、面上项目评审专家

代表性科研项目:

  • 国家自然科学基金重大项目, 41890851, 粤港澳大湾区陆海相互作用关键过程及生态安全调控机理, 2019.01-2023.12, 在研, 子课题负责人;
  • 国家自然科学基金面上项目, 41971304, 复杂环境下水色定量遥感的外部干扰因素解析与校正, 主持, 2020.1-2023.12;
  • 深圳市稳定支持拟资助项目,渔业开发影响下的长江中下游大型湖泊光敏水质参数时空变化研究,主持,2021.1-2022.12;
  • 深圳市面上项目,JCYJ20190809155205559, 物理模拟与星地观测结合的水色遥感陆地邻近效应研究,主持, 2020.5-2023.5;
  • 深圳市“三线一单”生态环境管控体系构建项目,深圳市环境科学研究院项目,2019-2020
  • 中国科学院A类战略性先导科技专项, XDA20060402, 泛第三极环境变化与绿色丝绸之路建设-东南亚-南亚大河区气候与水资源变化, 2018.01-2022.12, 在研, 参加;
  • 国家自然科学基金面上项目, 41671338, 变化“水深”环境下鄱阳湖湿地植被优势群落时空格局遥感研究, 主持, 2017.1-2020.12;
  • 国家自然科学基金青年项目, 41401388, 基于水体光学特征分区的通江湖泊叶绿素时空动态遥感研究-以鄱阳湖为例, 2015.1-2017.12, 已结题, 主持。

研究方向:

  • 水环境遥感算法与应用
  • 气候变化与人类活动影响下的湖泊与海岸带水环境遥感研究
  • 卫星传感器参数设计与辐射定标

教学

  • 遥感导论 (本科生)
  • 资源与环境遥感(研究生)
  • 定量遥感 (研究生)

发表论著

发表论著:

发表第一作者/通讯作者SCI论文42篇,其中Nature 1篇,Remote. Sens. Environ. 12篇(IF=9.085, 遥感期刊排名第一)、Environ. Sci. & Technol. 2篇(IF=7.864)、J. Geophys. Res. 4篇(IF=3.318)、Water Resour. Res. 1篇(IF=4.410)。其它合作作者论文35篇。标下划线作者为指导学生或团队成员。

 

2021

  1. Feng, L.*, Dai, Y., Hou, X., Liu, J., & Zheng, C. (2021). Concerns on phytoplankton bloom trends in global lakes. Nature. 590, E35–E47
  2. 冯炼.卫星遥感解译湖泊蓝藻水华的几个关键问题探讨. 湖泊科学, 2021, 33(3). DOI: 10.18307/2021.0301
  3. Zhou, Q., Wang, J., Tian, L., Feng, L., Li, J., & Xing, Q. (2021). Remotely sensed water turbidity dynamics and its potential driving factors in an urbanizing city. Journal of Hydrology, 593, 125893

2020

  1. Hou, X., Feng, L.*, Tang, J., Song, X., Liu, J., Zhang, Y., Wang, J., Xu, Y., Dai, Y., Zheng, Y., Zheng, C., & Bryan, B. (2020). Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts. Remote Sensing of Environment, 248, 14
  2. Guan, Q., Feng, L.*, Hou, X., Schurgers, G., Zheng, Y., & Tang, J. (2020). Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations. Remote Sensing of Environment, 246, 17
  3. Qi, W., Feng, L.*, Liu, J., & Yang, H. (2020). Snow as an Important Natural Reservoir for Runoff and Soil Moisture in Northeast China. Journal of Geophysical Research-Atmospheres, 125, 15
  4. Pi, X., Feng, L.*, Li, W., Zhao, D., Kuang, X., & Li, J. (2020). Water clarity changes in 64 large alpine lakes on the Tibetan Plateau and the potential responses to lake expansion. ISPRS Journal of Photogrammetry and Remote Sensing, 170, 192-204
  5. Wang, Y.,Feng, L.*, Liu, J., Hou, X., & Chen, D. (2020). Changes of inundation area and water turbidity of Tonle Sap Lake: responses to climate changes or upstream dam construction? Environmental Research Letters, 15, 0940a0941
  6. Tong, Y., Feng, L.*, Sun, K., & Tang, J. (2020). Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements. Remote Sensing, 12, 2330
  7. Zhao, D.,& Feng, L.* (2020). Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions. Sensors, 20, 3377
  8. Xu, Y., Feng, L.*, Zhao, D., & Lu, J. (2020). Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data. International Journal of Applied Earth Observation and Geoinformation, 93, 11
  9. Wang, J., Chen, J.*, Feng, L.*, Xu, J., & Zhang, F. (2020). Redefining the Directional-Hemispherical Reflectance and Transmittance of Needle-Shaped Leaves to Address Issues in Their Existing Measurement Methods. Photogrammetric Engineering and Remote Sensing, 86, 627-641
  10. Hu, C., Feng, L., & Guan, Q. (in press). A Machine Learning Approach to Estimate Surface Chlorophyll a Concentrations in Global Oceans From Satellite Measurements. IEEE Transactions on Geoscience and Remote Sensing
  11. Wang, S., Li, J., Zhang, B., Lee, Z., Spyrakos, E., Feng, L., Liu, C., Zhao, H., Wu, Y., Zhu, L., Jia, L., Wan, W., Zhang, F., Shen, Q., Tyler, A., & Zhang, X.(2020). Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS. Remote Sensing of Environment, 247, 17
  12. Liu, Y., Ye, Q., Huang, W., Feng, L., Wang, Y., Xie, Z., Yong, S., Zhang, S., Jiang, B., Zheng, Y., & Wang, J. (2020). Spectroscopic and molecular-level characteristics of dissolved organic matter in the Pearl River Estuary, South China. Science of The Total Environment, 710, 11
  13. Qi, W., Liu, J., Yang, H., Zhu, X., Tian, Y., Jiang, X., Huang, X., & Feng, L. (2020). Large Uncertainties in Runoff Estimations of GLDAS Versions 2.0 and 2.1 in China. Earth and Space Science, 7, 11
  14. Hu, C., Barnes, B., Feng, L., Wang, M., & Jiang, L. (2020). On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags. IEEE Geoscience and Remote Sensing Letters, 17, 745-749

2019

  1. Dai, Y., Feng, L.*, Hou, X., Choi, C., Liu, J., Cai, X., Shi, L., Zhang, Y., & Gibson, L. (2019). Policy-driven changes in enclosure fisheries of large lakes in the Yangtze Plain: Evidence from satellite imagery. Science of The Total Environment, 688, 1286-1297
  2. Feng, L., Liv, J., Ali, T., Li, J., Li, J., & Kuang, X. (2019). Impacts of the decreased freeze-up period on primary production in Qinghai Lake. International Journal of Applied Earth Observation and Geoinformation, 83, 10
  3. Zhou, Y., Ma, J., Zhang, Y., Li, J., Feng, L., Zhang, Y., Shi, K., Brookes, J., & Jeppesen, E. (2019). Influence of the three Gorges Reservoir on the shrinkage of China's two largest freshwater lakes. Global and Planetary Change, 177, 45-55
  4. Li, J., Gao, M., Feng, L.*, Zhao, H., Shen, Q.*, Zhang, F., Wang, S., & Zhang, B. (2019). Estimation of Chlorophyll-a Concentrations in a Highly Turbid Eutrophic Lake Using a Classification-Based MODIS Land-Band Algorithm.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 3769-3783
  5. Feng, L.*, Hou, X., & Zheng, Y. (2019). Monitoring and understanding the water transparency changes of fifty large lakes on the Yangtze Plain based on long-term MODIS observations. Remote Sensing of Environment, 221, 675-686
  6. Hu, C., Feng, L., Lee, Z., Franz, B., Bailey, S., Werdell, P., & Proctor, C. (2019). Improving Satellite Global Chlorophyll a Data Products Through Algorithm Refinement and Data Recovery. Journal of Geophysical Research-Oceans, 124, 1524-1543
  7. Hou, X., Chen, X., Liu, W., Feng, L., & Ali, T. (2019). Changes in the wetland vegetation growth patterns in large lakes on the Yangtze Plain. International Journal of Remote Sensing, 40, 4290-4301

2018

  1. Feng, L., Hou, X., Li, J., & Zheng, Y. (2018). Exploring the potential of Rayleigh-corrected reflectance in coastal and inland water applications: A simple aerosol correction method and its merits.ISPRS Journal of Photogrammetry and Remote Sensing, 146, 52-64
  2. Feng, L., C. Hu, & Li, (2018). Can MODIS Land Reflectance Products be Used for Estuarine and Inland Waters? Water Resources Research, 54, 3583-3601. (Cover paper)
  3. Han, X., Feng, L.*, Hu, C., & Chen, X.(2018). Wetland changes of China's largest freshwater lake and their linkage with the Three Gorges Dam. Remote Sensing of Environment, 204, 799-811
  4. Hou, X., Feng, L.*, Chen, X., & Zhang, Y. (2018). Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes. ISPRS Journal of Photogrammetry and Remote Sensing, 141, 148-160
  5. Liu, H., Yin, J., & Feng, L.*(2018). The Dynamic Changes in the Storage of the Danjiangkou Reservoir and the Influence of the South-North Water Transfer Project. Scientific reports, 8, 12
  6. Han, X., Feng, L.,Hu, C., & Kramer, P. (2018). Hurricane‐Induced Changes in the Everglades National Park Mangrove Forest: Landsat Observations between 1985 and 2017. Journal of Geophysical Research: Biogeosciences, 123, 3470-3488
  7. Hu, C., Feng, L., Holmes, J., Swayze, G., Leifer, I., Melton, C., Garcia, O., MacDonald, I., Hess, M., Muller-Karger, F., Graettinger, G., & Green, R.(2018). Remote sensing estimation of surface oil volume during the 2010 Deepwater Horizon oil blowout in the Gulf of Mexico: scaling up AVIRIS observations with MODIS measurements. Journal of Applied Remote Sensing, 12, 44

2017

  1. Feng, L., & Hu, C. (2017). Land adjacency effects on MODIS Aqua top-of-atmosphere radiance in the shortwave infrared: Statistical assessment and correction. Journal of Geophysical Research-Oceans, 122, 4802-4818
  2. Hou, X., Feng, L.*, Duan, H., Chen, X., Sun, D., & Shi, K. (2017). Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China. Remote Sensing of Environment, 190, 107-121 (highlighted by IOCCG Newsletter)
  3. Shi, Y., Feng, L.*, & Gong, J. (2017). Four decades of the morphological dynamics of the lakes in the Jianghan Plain using Landsat observations. Water and Environment Journal, 31, 353-359
  4. Li, J., Hu, C., Shen, Q., Barnes, B., Murch, B., Feng, L., Zhang, M., & Zhang, B. (2017). Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake. Remote Sensing of Environment, 197, 72-84
  5. Cao, Z., Duan, H., Feng, L., Ma, R., & Xue, K. (2017). Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales. Remote Sensing of Environment, 192, 98-113
  6. Song, Z., Liang, S., Feng, L., He, T., Song, X., & Zhang, L. (2017). Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project. Journal of Geophysical Research-Atmospheres, 122, 4866-4879
  7. Feng, L., Hu, C., Barnes, B., Mannino, A., Heidinger, A., Strabala, K., & Iraci, L. (2017). Cloud and Sun-glint statistics derived from GOES and MODIS observations over the Intra-Americas Sea for GEO-CAPE mission planning. Journal of Geophysical Research-Atmospheres, 122, 1725-1745

2016

  1. Feng, L., Han, X., Hu, C., & Chen, X. (2016). Four decades of wetland changes of the largest freshwater lake in China: Possible linkage to the Three Gorges Dam? Remote Sensing of Environment, 176, 43-55
  2. Feng, L., & Hu, C. (2016). Cloud adjacency effects on top-of-atmosphere radiance and ocean color data products: A statistical assessment. Remote Sensing of Environment, 174, 301-313
  3. Feng, L., Li, J., Gong, W., Zhao, X., Chen, X., & Pang, X. (2016). Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A solution for large view angle associated problems. Remote Sensing of Environment, 174, 56-68
  4. Cai, X., Feng, L.*, Hou, X., & Chen, X. (2016). Remote Sensing of the Water Storage Dynamics of Large Lakes and Reservoirs in the Yangtze River Basin from 2000 to 2014. Scientific Reports, 6, 9
  5. Li, J., Feng, L.*, Pang, X., Gong, W., & Zhao, X. (2016). Radiometric cross Calibration of Gaofen-1 WFV Cameras Using Landsat-8 OLI Images: A Simple Image-Based Method. Remote Sensing, 8, 19
  6. Hu, C., & Feng, L.(2016). Modified MODIS fluorescence line height data product to improve image interpretation for red tide monitoring in the eastern Gulf of Mexico. Journal of Applied Remote Sensing, 11, 14
  7. Hu, C., Hardy, R., Ruder, E., Geggel, A., Feng, L., Powers, S., Hernandez, F., Graettinger, G., Bodnar, J., & McDonald, T. (2016). Sargassum coverage in the northeastern Gulf of Mexico during 2010 from Landsat and airborne observations: Implications for the Deepwater Horizon oil spill impact assessment. Marine Pollution Bulletin, 107, 15-21
  8. Sun, S., Hu, C., Feng, L., Swayze, G., Holmes, J., Graettinger, G., MacDonald, I., Garcia, O., & Leifer, I. (2016). Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications-for spatial resolution requirements of remote sensors. Marine Pollution Bulletin, 103, 276-285
  9. Feng, L.*, & Hu, C. (2016). Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over the Global Oceans. IEEE Transactions on Geoscience and remote sensing, 54, 1575-1585

2015

  1. Han, X., Chen, X., & Feng, L.*(2015). Four decades of winter wetland changes in Poyang Lake based on Landsat observations between 1973 and 2013. Remote Sensing of Environment, 156, 426-437
  2. Chen, X., Han, X., & Feng, L.*(2015). Towards a practical remote-sensing model of suspended sediment concentrations in turbid waters using MERIS measurements. International Journal of Remote Sensing, 36, 3875-3889
  3. Cai, X., Feng, L.*, Wang, Y., & Chen, X. (2015). Influence of the Three Gorges Project on the Water Resource Components of Poyang Lake Watershed: Observations from TRMM and GRACE. Advances in Meteorology, 2015, 1-7
  4. Hu, C., Feng, L., Hardy, R., & Hochberg, E. (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae. Remote Sensing of Environment, 167, 229-246
  5. MacDonald, I., Garcia-Pineda, O., Beet, A., Asl, S., Feng, L., Graettinger, G., French-McCay, D., Holmes, J., Hu, C., Huffer, F., Leifer, I., Muller-Karger, F., Solow, A., Silva, M., & Swayze, G. (2015). Natural and unnatural oil slicks in the Gulf of Mexico. Journal of Geophysical Research-Oceans, 120, 8364-8380
  6. Li, J., Chen, X., Tian, L., Huang, J., & Feng, L.(2015). Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: Radiometric and spatial considerations. ISPRS Journal of Photogrammetry and Remote Sensing, 106, 145-156
  7. Zhang, P., Lu, J., Feng, L., Chen, X., Zhang, L., Xiao, X., & Liu, H. (2015). Hydrodynamic and Inundation Modeling of China's Largest Freshwater Lake Aided by Remote Sensing Data. Remote Sensing, 7, 4858-4879
  8. Li, J., Chen, X., Tian, L., & Feng, L.(2015). Tracking radiometric responsivity of optical sensors without on-board calibration systems-case of the Chinese HJ-1A/1B CCD sensors. Optics Express, 23, 1829-1847
  9. Duan, H., Loiselle, S., Zhu, L., Feng, L., Zhang, Y., & Ma, R. (2015). Distribution and incidence of algal blooms in Lake Taihu. Aquatic Sciences, 77, 9-16

2014

  1. Feng, L., Hu, C., Chen, X., & Song, Q. (2014). Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS. Remote Sensing of Environment, 140, 779-788
  2. Feng, L., Hu, C., & Chen, X. (2014). Dramatic Inundation Changes of China's Two Largest Freshwater Lakes: Natural Process or Influenced by the Three Gorges Dam? A Revisit. Environmental Science & Technology, 48, 2088-2089
  3. Feng, L., Hu, C., Han, X., Chen, X., & Qi, L. (2014). Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach. Remote Sensing, 7, 275-299
  4. Han, X., Feng, L.*, Chen, X., & Yesou, H. (2014). MERIS observations of chlorophyll-a dynamics in Erhai Lake between 2003 and 2009. International Journal of Remote Sensing, 35, 8309-8322
  5. Hu, C., & Feng, L.*(2014). GOES Imager Shows Diurnal Changes of a Trichodesmium erythraeum Bloom on the West Florida Shelf. IEEE Geoscience and Remote Sensing Letters, 11, 1428-1432
  6. Tian, L., Wai, O. W., Chen, X., Liu, Y., Feng, L., Li, J., & Huang, J. (2014). Assessment of Total Suspended Sediment Distribution under Varying Tidal Conditions in Deep Bay: Initial Results from HJ-1A/1B Satellite CCD Images. Remote Sensing, 6, 9911-9929
  7. Duan, H., Feng, L., Ma, R., Zhang, Y., & Loiselle, S. (2014). Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery. Environmental Research Letters, 9, 10
  8. Zhao, X., Stein, A., Zhang, X., Feng, L., & Chen, X. (2014). Variation analysis of lake extension in space and time from MODIS images using random sets. International Journal of Applied Earth Observation and Geoinformation, 30, 86-97
  9. Li, J., Tian, L., Chen, X., Li, X., Huang, J., Lu, J., & Feng, L.(2014). Remote-sensing monitoring for spatio-temporal dynamics of sand dredging activities at Poyang Lake in China. International Journal of Remote Sensing, 35, 6004-6022
  10. Huang, J., Chen, L., Chen, X., Tian, L., Feng, L., Yesou, H., & Li, F. (2014). Modification and validation of a quasi-analytical algorithm for inherent optical properties in the turbid waters of Poyang Lake, China. Journal of Applied Remote Sensing, 8, 16
  11. Lu, J., Chen, X., Cai, X., & Feng, L.(2014). Geomatics-based water capacity monitoring for Quake Lake and its web service implementation. Desalination and Water Treatment, 52, 2700-2708

2013

  1. Feng, L., Hu, C., Chen, X., & Zhao, X. (2013). Dramatic Inundation Changes of China's Two Largest Freshwater Lakes Linked to the Three Gorges Dam. Environmental Science & Technology, 47, 9628-9634
  2. Hu, C., Feng, L., & Lee, Z. (2013). Uncertainties of SeaWiFS and MODIS remote sensing reflectance: Implications from clear water measurements. Remote Sensing of Environment, 133, 168-182
  3. Le, C., Hu, C., English, D., Cannizzaro, J., Chen, Z., Feng, L., Boler, R., & Kovach, C. (2013). Towards a long-term chlorophyll-a data record in a turbid estuary using MODIS observations. Progress in Oceanography, 109, 90-103

2012

  1. Feng, L., Hu, C., Chen, X., Cai, X., Tian, L., & Gan, W. (2012). Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010. Remote Sensing of Environment, 121, 80-92 (highlighted by NASA)
  2. Feng, L., Hu, C., Chen, X., Tian, L., & Chen, L. (2012). Human induced turbidity changes in Poyang Lake between 2000 and 2010: Observations from MODIS. Journal of Geophysical Research-Oceans, 117, 19
  3. Feng, L., Hu, C., & Chen, X. (2012). Satellites Capture the Drought Severity Around China's Largest Freshwater Lake. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 1266-1271
  4. Hu, C., Feng, L., Lee, Z., Davis, C., Mannino, A., McClain, C., & Franz, B. (2012). Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past. Applied Optics, 51, 6045-6062 (Editor highlighted paper)
  5. Hu, C., Feng, L., & Lee, Z. (2012). Evaluation of GOCI Sensitivity for At-Sensor Radiance and GDPS-Retrieved Chlorophyll-a Products. Ocean Science Journal, 47, 279-285
  6. Yu, Z., Chen, X., Zhou, B., Tian, L., Yuan, X., & Feng, L.(2012). Assessment of total suspended sediment concentrations in Poyang Lake using HJ-1A/1B CCD imagery. Chinese Journal of Oceanology and Limnology, 30, 295-304

2011

  1. Feng, L., Hu, C., Chen, X., Li, R., Tian, L., & Murch, B. (2011). MODIS observations of the bottom topography and its inter-annual variability of Poyang Lake. Remote Sensing of Environment, 115, 2729-2741 (highlighted by IOCCG Newsletter)
  2. Feng, L., Hu, C., Chen, X., & Li, R. (2011). Satellite observations make it possible to estimate Poyang Lake's water budget. Environmental Research Letters, 6, 7

 

研究领域

1.水环境遥感算法与应用

2.气候变化与人类活动影响下的湖泊与海岸带水环境遥感研究

3.卫星传感器参数设计与辐射定标


教学

遥感导论 (本科生)

资源与环境遥感(研究生)

定量遥感 (研究生)


学术成果 查看更多

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南方科技大学环境学院环境遥感课题组招聘博士后

 

南方科技大学环境学院环境遥感课题组拟招聘卫星遥感应用方向博士后1-2名

 

一、南科大及环境学院简介

南方科技大学(www.sustech.edu.cn,以下简称“南科大”)创建于2011年,地处中国广东省深圳市,是一所公办创新型大学,目标是迅速建成国际化高水平研究型大学,建成中国重大科学技术研究与拔尖创新人才培养的重要基地。

南科大环境科学与工程学院(ese.sustech.edu.cn)成立于2015年5月。目前,现有全职教师70人,其中中国科学院院士1人、美国国家工程院院士1人、欧洲科学院院士1人、美国地球物理联合会(AGU)会士1人、国家“杰青”4人、享受国务院特殊津贴专家4人、国家“优青”3人,以及其他多位国家级人才。南科大环境科学与工程学院欢迎优秀的青年科研工作者加入,并为其提供优越的个人待遇和工作条件。在南科大一流的科研平台上,入职者将有更多、更好的机会为解决中国和世界环境中的重要科学及工程问题做出贡献。

 

二、招聘方向

卫星遥感应用:水色遥感定量反演算法设计、大气校正算法研究、水色遥感产品生产。

 

三、基本要求

1、热衷科学研究、恪守学术道德准则,有强烈的责任心,能够相对独立地思考、解决科学问题;

2、近三年获得遥感、地理信息科学等相关专业的博士学位,年龄在35周岁以下,全职从事博士后研究工作;

3、以第一作者在SCI上发表(或已接收)至少2篇论文,发表过高质量论文者优先考虑;

4、具有较强的编程能力;

5、具有较好的外语水平,能独立撰写英文研究论文。

 

四、岗位职责

1、与课题组负责人共同制定研究计划,相对独立地开展研究并发表高质量学术论文;

2、协助课题组经费申请,积极申请博士后科学基金、国家自然科学基金委青年项目及其他国家、省、市级课题;

3、协助课题组负责人,指导学生;协助实验室日常管理工作。

 

五、薪资待遇

1、博士后聘用期两年,基本年薪33万元起,含广东省生活补助15万元(税前)及深圳市生活补助6万元(税后),并按深圳市有关规定参加社会保险及住房公积金;课题组另根据科研成果给予一定绩效奖励。

2、特别优秀候选人可以申请校长卓越博士后,年薪可达50万元以上。(含广东省及深圳市补助)。

3、在站期间,可依托学校申请深圳市公租房,未依托学校使用深圳市公租房的博士后,可享受两年税前2800元/月的住房补贴。

4、拥有优良的工作环境和境内外合作交流机会,博士后在站期间享受两年共计2.5万学术交流经费资助。

5、课题组协助符合条件的博士后申请“广东省海外青年博士后引进项目”。即在世界排名前200名的高校(不含境内,排名以上一年度泰晤士、USNEWS、QS和上海交通大学的世界大学排行榜为准)获得博士学位,在广东省博士后设站单位从事博士后研究,并承诺在站2年以上的博士后,申请成功后省财政给予每名进站博士后资助60万元生活补贴(与广东省每年15万生活补助不同时享受,与深圳市每年6万元生活补助同时享受情况以深圳市规定为准);对获得本项目资助,出站后与广东省用人单位签订工作协议或劳动合同,并承诺连续在粤工作3年以上的博士后,省财政给予每人40万元住房补贴。

6、博士后出站选择留深从事科研工作,且与本市企事业单位签订3年以上劳动(聘用)合同的,可以申请深圳市博士后留深来深科研资助。深圳市政府给予每人每年10万元科研资助,共资助3年(以深圳市最新申报要求为准)。

7、对于符合最新《深圳市新引进人才租房和生活补贴》相关政策要求的博士后,落户深圳后,可协助申请深圳市一次性租房和生活补贴3万元(免税,自主网上申请)。

8、依据自身符合的条件情况,在站或出站留深博士后可申请 "深圳市孔雀计划C类人才"或者"深圳市后备级人才",享受5年160万的奖励津贴(免税)(以深圳市最新相关人才申报要求为准)。

 

六、申请材料及联系方式

 

有意者请将以下材料发送至课题组负责人邮箱 fengl@sustech.edu.cn(冯炼),邮件主题请设为“应聘博士后”。

1、个人简历(含申请人近期照片)

2、研究兴趣概述

3、2位推荐人的姓名和联系方式

4、其他能科研成果获证明工作能力的材料

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深圳市南山区学苑大道1088号南方科技大学

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fengl AT sustech.edu.cn

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