Research Interests

  •          Remote Sensing, Particularly of Forests, Urban, and Clouds
  •          Land Cover and Land Use Change
  •      Time Series Analysis
  •          Digital Image Processing
  •      Climate Change

     Course Offerings

  •          Remote Sensing of Environment  (Introduction) GIST 3301, Syllabus
  •          Remote Sensing of Environment  (Advanced) GIST 5301, Syllabus


  •          Ph.D. in Geography, Boston University, USA, 2013
  •          B.E. in Remote Sensing Information Engineering, Wuhan University, China, 2006

    Professional Development

  •      Assistant Professor, Department of Geosciences, Texas Tech University, TX, 08/2016-
  •      Faculty Associate, Climate Science Center, Texas Tech University, Lubbock, TX, 08/2016-
  •         Faculty Associate, Center for Geospatial Technology, Texas Tech University, TX, 08/2016-
  •      Land Change Scientist, ASRC Federal InuTeq, Contractor to USGS EROS, SD, 10/2014-08/2016
  •      Post-doctoral Associate, Department of Earth and Environment, Boston University, MA, 02/2013-10/2014
  •      Research Assistant, Department of Geography, Boston University, MA, 05/2008-12/2012

    Visitor Map


Zhe Zhu (CV)
Assistant Professor
Department of Geosciences
Texas Tech University, Lubbock, TX, USA
Emails: zhe.zhu@ttu.edu

    Professional Affiliations and Service      
  • Master & Ph.D. positions in time series analysis based on satellite data

    There are now two open positions at Department of Geosciences, Texas Tech University. The positions are either master student or Ph.D. student and will be working with USGS scientists on the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative. Skills in programming (Matlab, Python, R, or C) is preferred. If you are interested in one of the positions, please contact zhe.zhu@ttu.edu.

    Current Funding
  • Toward Near Real-time Monitoring and Characterization of Land Surface Change for the Conterminous US, PI: Z. Zhu, USGS-NASA Landsat Science Team Program, $1,062,069, 2017-2022
  • Algorithm Improvement, Near Real-time Monitoring, and New Change Product Designed for the LCMAP Initiative, PI: Z. Zhu, USGS Great Plains Cooperative Ecosystem Studies Unit (CESU) Program, $283,045, 2017-2021

    Remote Sensing Tools

  • Fmask: Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel-2 images:
https://github.com/prs021/fmask (Maltab code by Zhe Zhu
https://github.com/qsly09/MFmask (Matlab code by Shi Qiu) - Designed for mountainous areas specifically
  • Tmask: Tmask (multiTemporal mask) is used for better cloud, cloud shadow, and snow detection for dense time series of Landsat data: 
  • CCDCCCDC (Continuous Change Detection and Classification) is used for continuous change detection and classification of land cover using all available Landsat data
https://github.com/prs021/ccdc (Maltab standalone software by Zhe Zhu)
https://github.com/ceholden/yatsm (Python code by Chris Holden)