Polyu remote sensing intelligence for dynamics Earth (Pride)

EDUCATION

Ph.D. Geography, Ohio State University, Columbus, OH, August, 2014

Dissertation Title: “Generating High-quality Landsat Time-series and Its Applications in Forest Studies”

M.S. Civil Engineering, Beijing Normal University, Beijing, June, 2010

Thesis Title: “Study of Producing Remotely Sensed Data with Both High Spatial and Temporal Resolution”

B.S. Resource Science and Engineering, Beijing Normal University, Beijing, June, 2007

Thesis Title: “Study of the Altitude Dependence of Phenological Variation in Tibet-Qinghai Plateau”

RESEARCH INTERESTS

Remote Sensing Methods and Applications

Geographic Information Science and Systems

Spatiotemporal Analysis

Forest and Environmental Studies

PROFESSIONAL HISTORY

2015-2016 Postdoctoral Scholar, Department of Land, Air and Water Resources, University of California Davis, Davis, California, US

2014-2015 Postdoctoral Researcher, Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, Colorado, US

2010-2013 Graduate Research Associate, Department of Geography, The Ohio State University, Columbus, Ohio, US

PUBLICATIONS

Articles in refereed journals (see updated list in https://xzhu-lab.github.io/Pride/ )

• • Zhu, X., Helmer E., Liu, D., Chen, J., Gao, F., and Lefsky M. A flexible spatiotemporal method for fusing satellite images with different resolutions. Remote Sensing of Environment, 2016, 172, 165-155.

  • Gao F., Hilker T., Zhu, X., Anderson M., Masek J., Wang P., and Yang Y. Fusing Landsat and MODIS data for vegetation monitoring. IEEE Geosciecne and Remote Sensing Magazine, 2015, 3, 47-60.

  • Rao Y., Zhu, X., Chen J., and Wang J. An improved method for producing high-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and a Landsat TM/ETM+ image. Remote Sensing, 2015, 7, 7865-7891.

  • Tewes, A., Thonfeld, F., Schmidt, M., Oomen, R., Zhu, X., Dubovyk O., Menz, G., and Schellberg, J. Using RapidEye and MODIS data fusion to monitor vegetation dynamics in semi-arid rangelands in South Africa, Remote Sensing, 2015, 7, 6510-6534.

  • Zhu, X., and Liu, D. Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 102, 222-231.

  • Wang, H., Liu, D., Lin, H., Alvaro, M., and Zhu, X. NDVI and Vegetation Phenology Dynamics under the Influence of Sunshine Duration on the Tibetan Plateau, International Journal of Climatology, 2015, 35, 687-698.

  • Michishita, R., Chen, L., Chen, J., Zhu, X., and Xu, B. Spatiotemporal reflectance blending in a wetland environment, International Journal of Digital Earth, 2015, 8, 364-382.

  • Zhu, X., and Liu, D. Accurate mapping of forest types using dense Landsat time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 96, 1-11.

  • Zhang F., Zhu, X., and Liu, D. Blending MODIS and Landsat images for urban flood mapping. International Journal of Remote Sensing, 2014, 35(9), 3237-3253.

  • Chen, Y., Zhan, W., Quan, J., Zhou, J., Zhu, X., and Sun, H. Disaggregation of remotely sensed land surface temperature: a generalized paradigm, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52, 5952-5965.

  • Zhu, X., and Liu, D. MAP-MRF Approach to Landsat ETM+ SLC-off Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52,1131-1141.

  • Zhou, Y., Chen, J., Guo, Q., Cao, R., and Zhu, X. Restoration of Information Obscured by Mountainous Shadows through Landsat TM/ETM+ Images without the Use of DEM Data: A New Method. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52, 313-328.

  • Fu, D., Chen, B., Wang, J., Zhu, X., and Hilker, T. An improved image fusion approach based on enhanced spatial and temporal adaptive reflectance fusion model, Remote Sensing, 2013, 5, 6346-6360.

  • Zhou, Y., Chen, J., Chen, X., Cao, X., and Zhu, X. Two important indicators with potential to identify Caragana microphylla in xilin gol grassland from temporal MODIS data. Ecological Indicators, 2013, 34, 520-527.

  • Cui, X., Guo, L., Chen, J., Chen, X. and Zhu, X. Estimating tree-root biomass in different depths using ground-penetrating radar: evidence from a controlled experiment. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51, 3410-3423.

  • Zhu, X., Liu, D. and Chen, J. A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images, Remote Sensing of Environment, 2013, 124, 49-60.

  • Liu, D., Zhu, X. An enhanced physical method for downscaling thermal infrared radiance. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4), 690-694.

  • Zhu, X., Gao, F., Liu, D. and Chen, J. A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images. IEEE Geoscience and Remote Sensing Letters, 2012, 9(3), 521-525.

  • Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J. and Li, J. Disaggregation of remotely sensed land surface temperature: literature survey, taxonomy, issues, and caveats. Remote Sensing of Environment, 2013, 131, 119-139.

  • Chen, J., Zhu, X. Vogelmann, J. E. Gao, F. and Jin, S. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images. Remote Sensing of Environment, 2011, 115, 1053-1064.

  • Shen, M., Tang, Y., Chen, J., Zhu, X. and Zheng, Y. Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau. Agriculture and Forest Meteorology, 2011, 151, 1711-1722.

  • Cui, X., Chen, J., Shen, J., Cao, X., Chen, X. and Zhu, X. Modeling tree root diameter and biomass by ground-penetrating radar. Science China Earth Sciences, 2011, 54(5), 711-719.

  • Zhu, X., Chen, J., Gao, F. and Masek, J. G. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions. Remote Sensing of Environment, 2010, 114, 2610-2623.

  • Chen, J., Zhu, X., Imura, H. and Chen, X. Consistency of accuracy assessment indices for soft classification: simulation analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65, 156-164.

  • Shen, M., Chen, J., Zhu, X., Chen, X. and Tang, Y. Do flowers affect biomass estimate accuracy from NDVI and EVI? Evidence from an alpine meadow on the Tibetan Plateau. International Journal of Remote Sensing, 2010, 31, 2139-2149.

  • Shen, M., Chen, J., Zhu, X. and Tang, Y. Yellow Flower can Decrease NDVI and EVI Values – Evidence from a Field Experiment in an Alpine Meadow, Canadian Journal of Remote Sensing, 2009, 35, 99-106.

  • Chen, J., Shen, M., Zhu, X. and Tang, Y. Indicator of flower status derived from in situ hyperspectral measurement in an alpine meadow on the Tibetan Plateau, Ecological Indicators, 2009, 9, 818-823.

  • Zhu, X., Li, Q., Shen, M., Chen, J. and Wu, J. A methodology for multiple cropping index extraction based on NDVI time-series. Journal of Natural Resources, 2008, 23, 534-544 (In Chinese).

AWARDS

2019 Li Xiaowen Remote Sensing Young Scholar Award, China

2018 Faculty award for outstanding performance in teaching, Hong Kong Polytechnic University

2017 LSGI's award for excellent performance in teaching, Hong Kong Polytechnic University

2013 Robert N. Colwell Memorial Fellowship, American Society of Photogrammetry and Remote Sensing .

2012 E. Willard & Ruby S. Miller Fellowship, Ohio State University

2010 Excellent Master Thesis Award, Beijing Normal University

2009 Outstanding Graduate Student Award, Beijing Normal University

2007 Honor Graduate, privilege to enter M.S. program without exam, Beijing Normal University

2006 The First-place University-level Outstanding Student Award, Beijing Normal University

2005 The Second-place University-level Outstanding Student Award, Beijing Normal University

2004-2007 Zeng Xianzi Outstanding Student Award, Beijing Normal University

PROFESSIONAL SERVICE

Journal Editorial Board

Science of Remote Sensing

Remote Sensing

Big Earth Data

OPEN-SOURCE CODE

If you are interested in methods which I developed for data fusion, cloud detection, cloud removal, ETM+ image gap filling, nighttime light data processing and others, please download the codes and test data from my website: https://xzhu-lab.github.io/Pride/

Webpage last updated: April 20, 2021