About

I am forest scientist interested in forest management and remote sensing. My main focus is national-scale forest inventory creation in the U.S. South and Japan. In my free time I enjoy hiking, cooking and running.

Education

Ph. D. in Forestry and Natural Resources

2016 - 2020
University of Georgia

Dissertation title: Application of Landsat time series to the spatially explicit estimation of the forest disturbance history and growing stock volume in Georgia, United States.

MSc in Forest Science

2014 - 2016
University of Tokyo

Thesis title: Analysis of the optimal harvest age of private forest considering carbon sequestration function of the forest.

Experiences

Postdoctoral Research Associate

2020 - present
National Institute for Mathematical and Biological Synthesis

Constructing 3 dimensional forest height dataset from aerial imagery, LiDAR, and field plot data. Working with Dr. Todd Schroeder and Dr. Mona Papes.

Teaching assistant

2016 - 2019
University of Georgia

Teaching assistant in FANR 3000 (Field Orientation, Measurements, and Sampling in Forestry and Natural Resources).

Projects

This section is Under construction.

Publications

Articles published since 2015.

  • Preliminary analysis of forest stand disturbances in coastal Georgia (USA) using Landsat time series stacked imagery.
  • Obata, Shingo, Chris Cieszewski, Pete Bettinger, Roger C. Lowe III, and Sergio Bernardes
    FORMATH 18, pp. 1–11. 2019.
  • Evaluation of sites for the reestablishment of the American chestnut (Castanea dentata) in northeast Georgia, USA.
  • Zhang, Siyu, Pete Bettinger, Chris Cieszewski, Scott Merkle, Krista Merry, Shingo Obata, Xingyuan He, and Haifeng Zheng
    Landscape Ecology 34.4, pp. 943–960. 2019.
  • Spatial forest plan development using heuristic processes seeded with a relaxed linear programming solution.
  • Akbulut, Ramazan, Pete Bettinger, Zennure Ucar, Shingo Obata, Kevin Boston, and Jacek Siry
    Forest Science 63.5, pp. 518–528. 2017.
  • The development process of research into the theory for the determination of optimal harvest age.
  • Obata, Shingo, Shin Nagata, Hiromichi Furuido, and Taro Takemoto
    Kanto Forest Research 66.2, pp. 221–224. 2015.

    Skills & Proficiency

    Google Earth Engine

    R

    Python

    ArcGIS

    PostgreSQL

    HTML5 & CSS