Shingo Obata - My portal - researchmap

Profile Information

Affiliation: Researcher, Hokkaido Research Center, National Research and Development Agency Forest Research and Management Organization Forestry and Forest Products Research Institute

Researcher number: 10966104
ORCID iD: https://orcid.org/0000-0002-2974-421X
J-GLOBAL ID: 202201006250841310
researchmap Member ID: R000035501

【研究テーマ】

リモートセンシングによる森林資源量推定。国家森林インベントリを用いた広域的な森林資源分布の推定。リモートセンシング・GIS技術による地域森林計画支援。

Research Interests

3

Research Areas

2

Research History

4

Oct, 2024 - Present

National Research and Development Agency Forest Research and Management Organization Forestry and Forest Products Research Institute
Oct, 2022 - Sep, 2024

Researcher, Resource Analysis Laboratory, Department of Forest Management, Forestry and Forest Products Research Institute
Apr, 2022 - Sep, 2022

Project Assistant Professor, Risk Analysis Research Center, The Institute of Statistical Mathematics
Oct, 2020 - Mar, 2022

Postdoctoral Research Associate, National Institute for Mathematical and BIological Synthesis, National Institute for Mathematical and Biological Synthesis, University of Tennessee

Education

2

Aug, 2016 - May, 2020

Warnell School of Forestry and Natural Resources, The University of Georgia
Mar, 2014 - Mar, 2016

Dept. of Forest Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo

Committee Memberships

3

Apr, 2024 - Present

Science committee of MOLI（Multi-footprint Observation Lidar and Imager）, JAXA
Apr, 2023 - Present

Public relation committee member, Japan Society of Forest Planning
Apr, 2023 - Present

Editorial board member of Journal of Forest Planning, Japan Society of Forest Planning

Awards

1

Mar, 2025

Kikuro Kuroiwa Research Encouragement Award, Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset., Japan Forest Planning Society

小幡進午

Papers

8

Evaluating Statewide NAIP Photogrammetric Point Clouds for Operational Improvement of National Forest Inventory Estimates in Mixed Hardwood Forests of the Southeastern U.S.

Todd A. Schroeder, Shingo Obata, Monica Papeş, Benjamin Branoff

Remote Sensing, 14(17) 4386-4386, Sep 3, 2022
Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset

Shingo Obata, Chris J. Cieszewski, Roger C. Lowe, III, Pete Bettinger

Remote Sensing, 13(2) 218-218, Jan 10, 2021
Mapping Forest Disturbances between 1987–2016 Using All Available Time Series Landsat TM/ETM+ Imagery: Developing a Reliable Methodology for Georgia, United States

Shingo Obata, Pete Bettinger, Chris J. Cieszewski, Roger C. Lowe III

Forests, 11(3) 335-335, Mar, 2020
Preliminary Analysis of Forest Stand Disturbances in Coastal Georgia (USA) Using Landsat Time Series Stacked Imagery

Shingo Obata, Chris J. Cieszewski, Pete Bettinger, Roger C. Lowe III, Sergio Bernardes

FORMATH, 18 n/a-n/a, Apr 6, 2019
Evaluation of sites for the reestablishment of the American chestnut (Castanea dentata) in northeast Georgia, USA

Zhang, S., Bettinger, P., Cieszewski, C., Merkle, S., Merry, K., Obata, S., He, X., Zheng, H.

Landscape Ecology, 34(4), 2019
Spatial forest plan development using heuristic processes seeded with a relaxed linear programming solution

Akbulut, R., Bettinger, P., Ucar, Z., Obata, S., Boston, K., Siry, J.

Forest Science, 63(5), 2017
Effects of forest thinning on static horizontal position accuracy collected with a mapping-grade GNSS receiver

Akbulut, R., Ucar, Z., Bettinger, P., Merry, K., Obata, S.

Mathematical and Computational Forestry and Natural-Resource Sciences, 9(1), 2017
Estimation of forest stand disturbance through implementation of vegetation change tracker algorithm using landsat time series stacked imagery in coastal Georgia (poster research summary)

Obata, S.

Mathematical and Computational Forestry and Natural-Resource Sciences, 10(1) 32-32, 2017

Books and Other Publications

1

Modern legal understandings of landscapes

Hiroya Ushio, Seiichi Hashimoto, Mitsuhiko Takahashi, Hiromi Taguchi, Yoshimitsu Yoshioka, Shuichiro Nishiwaki, Makoto Takahashi, Shingo Obata, Yoshinori Kasai (Role: Contributor, Application of remote sensing technology in community forest management)

Nippon Hyoron Sha, Feb, 2025 (ISBN: 9784535528420)

Presentations

4

4

Application of ALS Data in Regional Forest Planning at Higashi-Ohmi, Japan

Shingo Obata

FORMATH MIYAZAKI 2025, Mar 14, 2025
An empirical model for assessing the hindering factors of thinning in the planted forests in Japan using tree-level NFI database

Shingo Obata

IUFRO 26th World Congress, Jun 25, 2024
Analysis of Forest Resources Using GEDI Data

Shingo Obata

135th Annual Meeting of the Japanese Forest Society, Mar 10, 2024
Analysis of the factors causing deforestation using data from the Basic Survey on Forest Ecosystem Diversity

Shingo Obata

The 13th Kanto Forest Society Conference, Nov 2, 2023

Teaching Experience

1

Aug, 2016 - Dec, 2019

Field Orientation, Measurements, and Sampling in Forestry and Natural Resources (Teaching assistant) (Warnell School of Forestry and Natural Resources, University of Georgia)

Professional Memberships

3

Oct, 2023 - Present

The Remote Sensing Society of Japan
Mar, 2023 - Present

Japan Society of Forest Planning
Apr, 2022 - Present

The Japanese Forest Society

Research Projects

6

Unraveling the dynamics of forest growing stock volume in Japan using dense time series satellite data

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2024 - Mar, 2028

Katsuto Shimizu, Shingo Obata, Keiko Fukumoto
時系列NFIデータを用いた広葉樹資源量の変遷解明と将来的推定手法の開発

科学研究費助成事業, 基盤研究(C), 日本学術振興会, Apr, 2024 - Mar, 2027

北原文章, 小幡進午
日本全国の林地の林業採算性マトリクス評価技術の開発

農林水産研究の推進, 農林水産省, 2023 - 2027
Development of a Forest stand delineation method toward Support stand boundary Clarification Using Remote Sensing and Deep Learning

Apr, 2024 - Mar, 2026
生態系サービスの評価を組み込んだ参加型森林管理計画の策定

環境問題研究助成, 日本生命財団, Oct, 2023 - Sep, 2024
Estimating spatial distribution of above ground biomass in Japan using GEDI data

Remote Sensing Technology Center of Japan Research fund, Remote Sensing Technology Center of Japan, Jul, 2023 - Mar, 2024