Department of Geography and Planning

Education

2013 – 2019
Ph.D. in Department of Geography & GIScience, University of Cincinnati

2010 – 2013
M.S. in Department of Geography, East China Normal University

2006 – 2010
B.S. in Department of Geography, East China Normal University

Research Interests

My research interests are in remote sensing applications applied to Arctic snow, lake hydrology, water resources, cryospheric processes, and global climate change. I am particularly interested in using a variety of advanced remote sensing technologies and geospatial analysis methods to quantify and analyze rapid environmental changes in the hydrosphere and cryosphere within the context of global climate change. My current research primarily focuses on the following three themes: 1) improving satellite altimetry observations of Earth surface dynamics; 2) retrieving hydrosphere and cryosphere parameters (e.g. snow depth and lake water level) from remote sensing observations; and 3) understanding the impacts of climate change on lake hydrology.

Courses

GHY 3812: Geographic Information Systems

GHY 3310: Environmental Remote Sensing

GHY 4810 / 5810: Digital Image Processing

Publications

Xu, J., Tang, Y., Xu, J., Shu, S., Yu, B., Wu, J., & Huang, Y. (2022). Impact of Snow Cover Phenology on the Vegetation Green-Up Date on the Tibetan Plateau. Remote Sensing, 14 (IF: 5.35) https://doi.org/10.3390/rs14163909

Xu, J., Tang, Y., Xu, J., Chen, J., Bai, K., Shu, S., Yu, B., Wu, J., & Huang, Y. (2022). Evaluation of Vegetation Indexes and Green-Up Date Extraction Methods on the Tibetan Plateau. Remote Sensing, 14 (IF: 5.35) https://doi.org/10.3390/rs14133160

Yang, B., Liu, H., Kang, E.L., Hawthorne, T.L., Tong, S.T.Y., Shu, S., & Xu, M. (2022). Traffic restrictions during the 2008 Olympic Games reduced urban heat intensity and extent in Beijing. Nature Communications Earth & Environment, 3, 105 https://doi.org/10.1038/s43247-022-00427-4

Huang, Y., Song, Z., Yang, H., Yu, B., Liu, H., Che, T., Chen, J., Wu, J., Shu, S., Peng, X., Zheng, Z., & Xu, J. (2022). Snow cover detection in mid-latitude mountainous and polar regions using nighttime light data. Remote Sensing of Environment, 268, 112766 (IF: 13.85) https://doi.org/10.1016/j.rse.2021.112766

Xu, M., Liu, H., Mitchell, D., Lu, Y., Beck, R., Cohen, S., Shu, S., & Dimova, N. (2022). Mapping river turbidity at a large basin-scale with a spatially transferable ensemble model and Landsat 8 multispectral imagery. Science of the Total Environment, Forthcoming (IF: 10.75)

Shu, S., Liu, H., Beck, R.A., Frappart, F., Korhonen, J., Lan, M., Xu, M., Yang, B., & Huang, Y. (2021). Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records. Hydrol. Earth Syst. Sci., 25, 1643-1670 (IF: 5.15) https://doi.org/10.5194/hess-25-1643-2021

Xu, M., Liu, H., Beck, R., Lekki, J., Yang, B., Liu, Y., Shu, S., Wang, S., Tokars, R., Anderson, R., Reif, M., & Emery, E. (2021). Implementation Strategy and Spatiotemporal Extensibility of Multipredictor Ensemble Model for Water Quality Parameter Retrieval with Multispectral Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 1-16 (IF: 5.86) https://doi.org/10.1109/TGRS.2020.3045921

Wang, S., Alexander, P., Wu, Q., Tedesco, M., & Shu, S. (2021). Characterization of ice shelf fracture features using ICESat-2 – A case study over the Amery Ice Shelf. Remote Sensing of Environment, 255, 112266 (IF: 9.09) https://doi.org/10.1016/j.rse.2020.112266

Yang, B., Liu, H., Kang, E.L., Shu, S., Xu, M., Wu, B., Beck, R., Hinkel, K., & Yu, B. (2020). Spatio-temporal Cokriging Method for Assimilating and Downscaling Multi-scale Remote Sensing Data. Remote Sensing of Environment, 112190 (IF: 9.09) https://doi.org/10.1016/j.rse.2020.112190

Shu, S., Liu, H., Frappart, F., Kang, E.L., Yang, B., Xu, M., Huang, Y., Wu, B., Yu, B., Wang, S., Beck, R., & Hinkel, K. (2020). Improving Satellite Waveform Altimetry Measurements with a Probabilistic Relaxation Algorithm. IEEE Transactions on Geoscience and Remote Sensing, 1-16 (IF: 5.86) https://doi.org/10.1109/TGRS.2020.3010184

Shu, S., Liu, H., Beck, R.A., Frappart, F., Korhonen, J., Xu, M., Yang, B., Hinkel, K.M., Huang, Y., & Yu, B., (2020). Analysis of Sentinel-3 SAR Altimetry Waveform Retracking Algorithms for Deriving Temporally Consistent Water Levels Over Ice-Covered Lakes. Remote Sensing of Environment, 239: 111643 (IF: 9.09). https://doi.org/10.1016/j.rse.2020.111643

Wu, B., Yu, B., Shu, S., Wu, Q., Zhao, Y., & Wu, J. (2020). A Spatiotemporal Structural Graph for Characterizing Land Cover Changes. International Journal of Geographical Information Science, 1-29 (IF: 3.73) https://doi.org/10.1080/13658816.2020.1778706

Zhao, Y., Wu, B., Wu, J., Shu, S., Liang, H., Liu, M., Badenko, V., Fedotov, A., Yao, S., & Yu, B. (2020). Mapping 3D Visibility in an Urban Street Environment from Mobile LiDAR Point Clouds. GIScience & Remote Sensing (IF: 5.97) https://doi.org/10.1080/15481603.2020.1804248

Chen, H., Huang, Y., Wang, S., Shu, S., Yu, B., & Wu, J. (2020). Vertical Accuracy Analysis of ASTER GDEM V2 in Byrd Glacier, Antarctica. Journal of Remote Sensing (Chinese), 24-8 (IF: 1.58) http://dx.doi.org/10.11834/jrs.20208361

Xu, M., Liu, H., Beck, R., Lekki, J., Yang, B., Shu, S., Liu, Y., Benko, T., Anderson, R., Tokars, R., Johansen, R., Emery, E., & Reif, M. (2019). Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, 1-17 (IF: 5.86) https://doi.org/10.1109/TGRS.2019.2892899

Xu, M., Liu, H., Beck, R., Lekki, J., Yang, B., Shu, S., Kang, E.L., Anderson, R., Johansen, R., Emery, E., Reif, M., & Benko, T. (2019). A Spectral Space Partition Guided Ensemble Method for Retrieving Chlorophyll-a Concentration in Inland Waters from Sentinel-2A Satellite Imagery. Journal of Great Lakes Research, 45, 454-465 (IF: 1.93) https://doi.org/10.1016/j.jglr.2018.09.002

Beck, R., Xu, M., Zhan, S., Johansen, R., Liu, H., Tong, S., Yang, B., Shu, S., Wu, Q., Wang, S., Berling, K., Murray, A., Emery, E., Reif, M., Harwood, J., Young, J., Nietch, C., Macke, D., Martin, M., Stillings, G., Stumpf, R., Su, H., Ye, Z., & Huang, Y. (2019). Comparison of Satellite Reflectance Algorithms for Estimating Turbidity and Cyanobacterial Concentrations in Productive Freshwaters Using Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. Journal of Great Lakes Research, 45, 413- 433 (IF: 1.93) https://doi.org/10.1016/j.jglr.2018.09.001

Shu, S., Liu, H., Frappart, F., Huang, Y., Wang, S., Hinkel, K.M., Beck, R.A., Yu, B., Jones, B.M., Arp, C.D., Wang, L., & Ye, Z. (2018). Estimation of Snow Accumulation Over Frozen Arctic Lakes Using Repeat ICESat Laser Altimetry Observations – A Case Study in Northern Alaska. Remote Sensing of Environment, 216, 529-543 (IF: 9.09) https://doi.org/10.1016/j.rse.2018.07.018

Liu, H., & Shu, S. (2018). Derivation of Reliable Surface Elevation Measurements from ICESAT/GLAS Waveforms by Incorporating Spatial Contextual Information. In, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 7438-7440) https://doi.org/10.1109/IGARSS.2018.8517985

Johansen, R., Beck, R., Nowosad, J., Nietch, C., Xu, M., Shu, S., Yang, B., Liu, H., Emery, E., Reif, M., Harwood, J., Young, J., Macke, D., Martin, M., Stillings, G., Stumpf, R., & Su, H. (2018). Evaluating the Portability of Satellite Derived Chlorophyll-a Algorithms for Temperate Inland Lakes Using Airborne Hyperspectral Imagery and Dense Surface Observations. Harmful Algae, 76, 35-46 (IF: 3.71) https://doi.org/10.1016/j.hal.2018.05.001

Beck, R., Xu, M., Zhan, S., Liu, H., Johansen, R.A., Tong, S., Yang, B., Shu, S., Wu, Q., Wang, S., Berling, K., Murray, A., Emery, E., Reif, M., Harwood, J., Young, J., Martin, M., Stillings, G., Stumpf, R., Su, H., Ye, Z., & Huang, Y. (2017). Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Values and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. Remote Sensing, 9 (IF: 4.51) https://doi.org/10.3390/rs9060538

Ye, Z., Liu, H., Chen, Y., Shu, S., Wu, Q., & Wang, S. (2017). Analysis of Water Level Variation of Lakes and Reservoirs in Xinjiang, China Using ICESat Laser Altimetry Data (2003–2009). PLoS ONE, 12(9). doi: 10.1371/journal.pone.0183800 (IF: 2.74) https://doi.org/10.1371/journal.pone.0183800

Beck, R., Zhan, S., Liu, H., Tong, S., Yang, B., Xu, M., Ye, Z., Huang, Y., Shu, S., Wu, Q., Wang, S., Berling, K., Murray, A., Emery, E., Reif, M., Harwood, J., Young, J., Nietch, C., Macke, D., Martin, M., Stillings, G., Stump, R., & Su, H. (2016). Comparison of Satellite Reflectance Algorithms for Estimating Chlorophyll-a in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. Remote Sensing of Environment, 178, 15-30 (IF: 9.09) https://doi.org/10.1016/j.rse.2016.03.002

Wang, L., Liu, H., Wang, S., & Shu, S. (2015). Antarctica 2013/2014 Seasonal Melt Extent and Duration [in State of the Climate in 2014]. Bulletin of the American Meteorological Society (BAMS), 95(7): S149-S150. (IF: 9.38) http://dx.doi.org/10.1175/2015BAMSStateoftheClimate.1

Yu, B., Shu, S., Liu, H., Wu, J., & Chen, Z. (2014). Object-based Spatial Cluster Analysis of Urban Landscape Pattern Using Nighttime Light Satellite Images: A Case Study of China. International Journal of Geographical Information Science, 28(11), 2328-2355. (IF: 3.73) https://doi.org/10.1080/13658816.2014.922186

Wu, B., Yu, B., Yue, W., Shu, S., Tan, W., Hu, C., Huang, Y., Wu, J., & Liu, H. (2013). A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data. Remote Sensing, 5(2), 584-611. (IF: 4.51) https://doi.org/10.3390/rs5020584

Hu, Z., Wu, J., Wu, B., Shu, S., & Yu, B. (2012). Simulating and Mapping the Variations of Solar Radiation at the Lujiazui Region of Shanghai Using Airborne LiDAR Data. In, Key Engineering Materials (pp. 511- 516) (IF: 0.39) https://doi.org/10.4028/www.scientific.net/KEM.500.511

Shu, S., Yu‚ B., Wu‚ J., & Liu, H. (2011). Methods for Deriving Urban Built-up Area Using Night-light Data: Assessment and Application. Remote Sensing Technology and Application, 26(2), 169-176. (CSCD, In Chinese) (IF: 1.19) http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.2.169