CV

Table of contents

Basics

Name Mingxi Zhang
Label Scientist
Email mingxi.zhang@curtin.edu.au
Phone 0450323133
Url https://mxzhang.org
Summary UTS-trained PhD, Environmental Modeller, Soil Scientist

Work

  • 2021.03 - 2024
    Research Associate
    Soil and Landscape Science Curtin
    Understanding of soil organic dynamics and its response to climate change. My interest is also in the use of remote sensing and big data for better understanding of soil and environmental condition.
    • Soil C dynamics
  • 2018.09 - 2020.09
    Visiting Scientist
    NSW DPIE soil group
    Vegetation cover monitoring, water and wind erosion mapping
    • Sustainable land mangement
  • 2016.09 - 2018.03
    Research Assistant
    NSW Wagga Wagga climate change institue
    Generating high-quality climate datasets for crop models
    • Microclimate modelling

Education

  • 2018 - 2021
    PhD
    University of Technology Sydney, Australia
    Environmental Science
    • Climatology, Remote sensing of environment, Vegetation dynamics
  • 2012 - 2015
    Master
    Hohai University, China
    GIS Science
    • WebGIS, Geostatistics, Hydrologic modelling

Awards

Grants

Skills

Programming
Professional in R and Python; Proficient in Javascript, Matlab, and Git
GIS and RS
ArcGIS, QGIS, WebGIS, GEE, Geostatistics, Vegetation phenology, Land Surface Temperature retrieval
Climatology
Mountainous solar radiation, Extreme heat wave, Radar rainfall estimation
Hydrology
XinAnJiang model, SWAT model, Evapotranspiration
Soil
Soil Erosion, Digital soil mapping, Soil carbon turnover modelling, Soil spectroscopy
Statistics
Machine Learning, Extreme value modelling, Multivariate analysis, Time-series analysis, Uncertainty quantification

Languages

Mandarin
Native
English
Proficient

Projects

  • 2019.03 - 2019.09
    Lake Macquaire Council Research Project
    Assessing Community Heat Exposure in Lake Macquarie City
    • Analyzing Landsat-retrieved fine-scale land surface temperature over four decades
    • Utilizing Himawari-8 retrieved hourly land surface temperature data across Lake Macquarie
    • Exploring the urban heat island phenomenon with population density and land cover
  • 2020.01 - 2021.09
    NSW DPIE Project For Nutrient Loss Estimation
    Mapping Water and Wind Ersoion in Australia
    • Estimating monthly and annual water and wind erosion in Australia
    • Evaluating three satellite-based precipitation products for rainfall erosivity
    • Comparing and verifying results with climate reanalysis products and ground-based observations
  • 2020.11 - 2021.01
    UTS Consultant Project For Urban Greenness Development
    Understanding Urban Greenness Development in Greater Sydney Metropolitan
    • Mapping historical heat wave events in Greater Sydney Metropolitan
    • Retriving LST, Albedo, and Greeness maps using satellite images
    • Exploring Greeness-LST-Albedo relationships across different land and roof types
  • 2021.09 - 2024
    ARC Discovery Project
    Build insights of soil C dynamics in Australian rangelands
    • Extending a spatially explicit soil C modeling framework for future climate change simulation
    • Developing new statistical methods to identify key drivers of soil C in rangelands
    • Gloabl sensitivity analysis and parameter optimization