Yongxue Liu
1. Education
Ph.D. in Cartography and Geo-information System, 2004, Nanjing University, Nanjing, P.R. China
M.S. in physical geography, 2001, Nanjing Normal University, Nanjing, P. R. China
B.S. in physical geography, 1998, Nanjing Normal University, Nanjing, P. R. China
2. University position
2014-, Director, Department of Geographic Information Science, School of Geographic and Oceanographic Sciences (SGO), Nanjing University (NJU)
2013-present, Professor, NJU/SGO
2007-2012, Associate Professor, NJU/SGO
2004-2006, Assist Professor, NJU/SGO
3. Projects
2016.1-2019.12 Principle InvestigatorProject: “Offshore oil/gas development monitoring based on time-series satellite images” (Grant no. 2016YFB0501502), financial supported by the Key Research and Development Program of China.
2016.6-2020.06 Principle InvestigatorProject: “Analyzing evolution trend of Jiangsu Coast zone based on time-series space-borne and air-borne images” (grant no. BK20160023), financial supported by the National Science Foundation of Jiangsu Province for Distinguish Young Scholar.
2015.1-2018.12 Principle InvestigatorProject: “Remote sensing monitoring on tidal creeks’ migration and their response to human activities: A case study in Jiangsu silty mud coasts” (grant no. 41471068), financial supported by the National Science Foundation of China.
2012.1-2015.12 Principle InvestigatorProject: “Topographic mapping technology of offshore sandbanks: A case study in Jiangsu silty mud coasts” (grant no. 41171325)”, financial supported by the National Science Foundation of China.
2008.1-2010.12 Principle InvestigatorProject: “Offshore sandbank geomorphic evolution simulation based on spatio-temporal autocorrelation analysis” (grant no. 40701117), financial supported by the National Science Foundation of China.
4. Interests
Evolution process of tidal flat; Coastal wetlands; Response to human activities
Time-series remote sensing analysis;
Environmental effect of offshore oil/gas production (Oil spills, Greenhouse gas emission, and …)
Publications: Article published in peer-review journal as First author / Correspondent author
1. S Jin, Y Liu*, S Fagherazzi, H Mi, G Qiao**, W Xu, C Sun, Y Liu, B Zhao, C G. Fichot. 2021. River body extraction from Sentinel-2A/B MSI images based on an adaptive multi-scale region growth method. Remote Sensing of Environment, 255, 112297
2. C Sun*, J Li, Y Liu**, Y Liu, R Liu. 2021, Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series. Remote Sensing of Environment, 256,112320
3. W Xu, Y Liu*, W Wu, Y Dong, W Lu, Y Liu, B Zhao, H Li, R Yang. 2020. Proliferation of offshore wind farms in the North Sea and surrounding waters revealed by satellite image time series. Renewable and Sustainable Energy Reviews, 133, 110167
4. Y. Liu*, B. Xu, W. Zhi, C. Hu, Y. Dong, S. Jin, Y. Lu, T. Chen, W. Xu, Y. Liu, B. Zhao, W. Lu. 2020. Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing. Remote sensing of Environment, 246, 111867.
5. C. Sun, Y. Liu*, S. Zhao, S. Jin. 2020. Estimating offshore oil production using DMSP-OLS annual composites. ISPRS Journal of Photogrammetry and Remote Sensing, 165, 152–171.
6. Y Liu, Y Liu*, J Li, C Sun, W Xu, B Zhao. 2020. Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series. Marine Pollution Bulletin.160, 111697
7. W. Lu, Y. Liu*, J. Wang, W. Xu, W. Wu, Y. Liu, B. Zhao, H. Li, and P. Li. 2020. Global proliferation of offshore gas flaring areas. Journal of Maps, 16(2): 396–404.
8. Y. Liu*, C. Hu, Y. Dong, B. Xu, W. Zhan, C. Sun. 2019. Geometric accuracy of remote sensing images over oceans: The use of global offshore platforms.Remote sensing of Environment, 222, 244–266
9. Y. Dong, Y. Liu*, C. Hu, B. Xu. 2019. Coral reef geomorphology of the Spratly Islands: A simple method based on time-series of Landsat-8 multi-band inundation maps. ISPRS Journal of Photogrammetry and Remote Sensing, 157,137–154.
10. Y. Wang, Y. Liu*, S. Jin, C. Sun, X. Wei. 2019. Evolution of the topography of tidal flats and sandbanks along the Jiangsu coast from 1973 to 2016 observed from satellites.ISPRS Journal of Photogrammetry and Remote Sensing, 150, 27–43.
11. W. Lu, J. Sun, Y. Liu*, Y. Liu, B. Zhao. 2019. Seasonal and Intra-Annual Patterns of Sedimentary Evolution in Tidal Flats Impacted by Laver Cultivation along the Central Jiangsu Coast, China. Applied Sciences, 9 (3), 522.
12. W. Xu, J. Sun, Y. Liu*,. 2019. Spatiotemporal variation and socioeconomic drivers of air pollution in China during 2005–2016.Journal of Environmental Management.
13. W. Xu, Y. Tian, Y. Liu*. 2019. Understanding the Spatial-Temporal Patterns and Influential Factors on Air Quality Index: The Case of North China. International journal of environmental research and public health. 16(16)
14. C. Sun, Y. Liu*, S. Jin, Y. Wang, X. Wei. 2019. Using Time-Series HSI Mapping to Determine Ecological Processes and Driving Forces of Red-Crowned Crane (Grus japonensis) Habitat in the Yancheng Biosphere Reserve (China). Journal of Coastal Research. 35(2): 322 – 334.
15. X. Wei, Y. Duan, Y. Liu*, S. Jin. 2019. Onshore-offshore wind energy resource evaluation based on synergetic use of multiple satellite data and meteorological stations in Jiangsu Province, China. Frontiers of Earth Science. 13(1):132–150.
16. B Zhao, Y Liu*, W Xu, Y Liu, J Sun, L Wang. Morphological Characteristics of Tidal Creeks in the Central Coastal Region of Jiangsu, China, Using LiDAR. Remote Sensing. 11(20):2426
17. Y. Liu*, C. Hu, C. Sun, W. Zhan, S. Sun, B. Xu, Y Dong. 2018. Assessment of offshore oil/gas platform status in the northern Gulf of Mexico using multi-source satellite time-series images. Remote sensing of Environment. 208:63–81.
18. Y. Liu*, C. Hu, W. Zhan, C. Sun, M. Brock, L. Ma. 2018. Identifying industrial heat sources using time-series of the VIIRS Nightfire product with an object-oriented approach. Remote sensing of Environment. 204, 347–365.
19. S. Wang, Y. Zhang*, J. Hakkarainen, W. Ju, Y. Liu*, F. Jiang, W. He. 2018. Distinguishing anthropogenic CO2 emissions from different energy intensive industrial sources using OCO-2 observations: a case study in northern China. Journal of Geophysical Research: Atmospheres.
20. J. Shi, J. Jiao, Y. Lu*, M. Zhang, Z. Mao, Y. Liu*. 2018. Determining spectral groups to distinguish oil emulsions from Sargassum over the Gulf of Mexico using an airborne imaging spectrometer. ISPRS Journal of Photogrammetry and Remote Sensing. 146, 251–259.
21. C. Sun, S. Fagherazzi, Y. Liu*. 2018.Classification mapping of salt marsh vegetation by flexible monthly NDVI time-series using Landsat imagery. Estuarine, Coastal, and Shelf Science. 213: 61–80
22. S Jin, Y. Liu*, C Sun, X Wei, H Li, Z Han. 2018. A study of the environmental factors influencing the growth phases of Ulva prolifera in the southern Yellow Sea, China. Marine Pollution Bulletin 135, 1016–1025
23. S. Jin, Y. Lu*, Y. Liu*, X. Wei, W. Lu,D. Wang, Z. Mao. 2018. Refinement of the use of AISA bands-differences for oil slick detection beyond brightness contrast reversal under sunglint. Optical Express. 26(26), 33748-33755.
24. L. Wang, Y. Liu*, L. Mao, C. Sun. 2018. Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility. Sustainability. 10, 1270
25. Y Liu, Y. Liu*, J Li, W Lu, X Wei, C Sun. 2018. Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China. International journal of environmental research and public health 15 (8)
26. C. Sun, Y. Liu*. 2017. Saltmarshes Response to Human Activities on a Prograding Coast Revealed by a Dual-Scale Time-Series Strategy.Estuaries and coasts. 40(2): 522–539.
27. Y. Lu, Y. Zhou, Y. Liu*, Z. Mao, W. Qian, M. Wang, M. Zhang, J. Xu, S. Sun, P. Du. 2017. Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle. Journal of Geophysical Research: Oceans. 122(8): 6342–6354.
28. Y. Zhou, Y. Lu, W. Zhan, Z. Mao, W. Qian, Y. Liu*. 2017. Thermal infrared contrast between different types of oil slicks on top of water bodies. IEEE Geoscience and Remote Sensing Letter. 17(7): 1042–1045.
29. Y. Liu*, C. Sun, Y. Yang, M. Zhou, W. Zhan, W. Cheng. 2016. Automatic extraction of offshore platforms using time-series Landsat-8 Operational Land Imager data. Remote sensing of Environment. 175: 73–91.
30. Y. Liu*, C. Sun, J. Sun, H. Li, W. Zhan, H. Yang, S. Zhang. 2016. Lifting the veil on offshore platforms in the South China Sea: Satellite data reveals all. Scientific Report. 6(33623).
31. Y. Liu*, X. Chen, Y. Yang, C. Sun, S. Zhang. 2016. Automated Extraction and Mapping for Desert River-Wadis from Landsat Imagery in Arid West Asia. Remote Sensing. 8(3), 246.
32. C. Sun, Y. Liu*, S. Zhao, M. Zhou, Y. Yang, F. Li. 2016. Classification mapping and species identification of salt marshes based on a short-time interval NDVI time-series from HJ-1 optical imagery. International Journal of Applied Earth Observation and Geoinformation. 45, 27–41.
33. L. Wang, Y. Liu*, C. Sun, Y. Liu. 2016. Accessibility Impact of the Present and Future High-Speed Rail Network: A Case Study of Jiangsu Province, China. Journal of Transport Geography. 54, 161–172.
34. L. Wang, Y. Liu*. 2016. Use of isochrone maps to assess the impact of high-speed rail network development on journey times: A case study of Nanjing City, Jiangsu Province, China. Journal of Maps. 12, 514–519.
35. S. Zhang, Y Liu*, Y. Yang, C. Sun, F. Li. 2016. Erosion and deposition within Poyang Lake: Evidence from a decade of satellite data. Journal of Great Lakes Research. 42 (2), 364–374.
36. Y. Duan, Y. Liu, M. Li, M. Zhou, Y. Yang. 2016. Reefs survey of the Nansha Islands based on Landsat 8 OLI images. Acta Oceanologica Sinica. 35: 11–19.
37. Y. Liu*, M. Zhou, S. Zhao, W. Zhan, K. Yang, M. Li. 2015. Automated extraction of tidal creeks from airborne laser altimetry data. Journal of Hydrology 527, 1006–1020.
38. Y. Yang, Y. Liu*, M. Zhou, S. Zhang, W. Zhan, C. Sun, Y. Duan. 2015. Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach. Remote Sensing of Environment 171, 14–32.
39. Y. Yang, Y. Liu*, M. Zhou, F. Li, C. Sun. 2015. Robustness assessment of urban rail transit based on complex network theory: a case study of the Beijing Subway. Safety science 79, 149–162.
40. S. Zhao, Y. Liu*, M. Li. 2015. Analysis of Jiangsu Mudflats Reclamation from 1974 to 2012 using Remote Sensing.China Ocean Engineering, 29 (1) 143–154.
41. Y. Liu*, J. Chen, W. Cheng, C. Sun, S. Zhao, Y. Pu. 2014. Spatiotemporal dynamics of the urban sprawl in a typical urban agglomeration: a case study on Southern Jiangsu, China (1983–2007). Frontiers of Earth Science. 8 (4), 490–504.
42. J. Wang, M. Li, Y. Liu*, H. Zhang, W. Zou, L. Cheng. 2014. Safety assessment of shipping routes in the South China Sea based on the fuzzy analytic hierarchy process. Safety science. 62, 46–57.
43. K. Yang, M. Li, Y. Liu*, L. Cheng, Y. Duan, M. Zhou. 2014. River delineation from remotely sensed imagery using a multi-scale classification approach. IEEE Selected Topics in Applied Earth Observations and Remote Sensing. 7(12): 4726–4737.
44. Y. Wang, Y. Liu*, M. Li, L. Tan. 2014. The reconstruction of abnormal segments in HJ-1A/B NDVI time series using MODIS: a statistical method. International Journal of Remote Sensing 35 (23), 7991–8007.
45. Y. Liu*, M. Li, L. Mao, L. Cheng, K. Chen. 2013. Seasonal pattern of tidal-flat topography along the Jiangsu middle coast, China, using HJ-1 optical images. Wetlands 33 (5), 871–886.
46. Y. Liu*, M. Li, M. Zhou, K. Yang, L. Mao. 2013. Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China. Remote Sensing 5 (11), 6138–6158.
47. Y. Liu*, M. Li, L. Cheng, F. Li, K. Chen. 2012. Topographic mapping of offshore sandbank tidal flats using the waterline detection method: A case study on the Dongsha Sandbank of Jiangsu Radial Tidal Sand Ridges, China. Marine Geodesy 35 (4), 362–378.
48. Y. Liu*, M. Li, L. Mao, L. Cheng, F. Li. 2012. Toward a method of constructing tidal flat digital elevation models with MODIS and medium-resolution satellite images. Journal of Coastal Research 29 (2), 438–448.
49. Y. Liu*, M. Li, L. Chen, F. Li, Y. Su. 2010. A DEM Inversion Method for Inter-tidal Zone Based on MODIS Dataset: A Case Study in the Dongsha Sandbank of Jiangsu Radial Tidal Sand-Ridges, China. China Ocean Engineering 24 (4), 735–748.
50. Y. Liu*, M. Li, L. Mao, F. Xu, S. Huang. 2006. Review of remotely sensed imagery classification patterns based on object-oriented image analysis. Chinese Geographical Science 16 (3), 282–288.