MITSUDA Yasushi

写真a

Affiliation

Faculty of Agriculture Region of Forest Environment and Sustainability Sciences

Title

Professor

External Link

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Degree 【 display / non-display

  • Doctor (Agriculture) ( 2002.3   Kyushu University )

Research Areas 【 display / non-display

  • Life Science / Forest science

 

Papers 【 display / non-display

  • Effects of stand age bias on site index prediction model development using DSM Reviewed

    Mitsuda Yasushi

    Kyushu Journal of Forest Research   78   97 - 100   2025.3

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  • Study on image data suitable for detecting individual Cryptomeria japonica trees using deep learning model Reviewed

    Aihara Naoki, Mitsuda Yasushi

    Kyushu Journal of Forest Research   78   93 - 96   2025.3

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  • Automatic forest road extraction using a deep-learning model with a CS topographical map Reviewed

    Aihara Naoki, Mitsuda Yasushi

    Japanese Journal of Forest Planning   advpub ( 0 )   2025.3

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Forest Planning  

    Naoki Aihara and Yasushi Mitsuda: Automatic forest road extraction using a deep-learning model with a CS topographical map. Jpn. J. For. Plann.  Utilizing a CS topographical map derived from a Digital Elevation Model (DEM) acquired through airborne laser scanning (ALS), we developed a methodology to automatically extract forest roads using a deep learning model. The deep-learning model, employing a CS topographical map as the input, reproduced 75.1% of the route length for actual forest roads. Of the forest roads extracted by the model, 91.7% were consistent with the existing forest roads. In contrast, the deep-learning model developed using elevation, slope, and plane curvature as inputs could reproduce only 0.1% of the route length for actual forest roads. In forested areas, the automatic extraction of forest roads using conventional photographs is challenging due to vegetation cover. Our forest road detection model can overcome this limitation because it utilizes an ALS-derived DEM as the input. Furthermore, the reproduction rate of forest roads in our model employing the CS topographical map as the input image was significantly higher than that of the model that used elevation, slope, and plane curvature as the input images. This result indicates the efficacy of the CS topographical map for automatic forest road extraction using deep-learning models.

    DOI: 10.20659/jjfp.a20250102

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  • Report of “JSFP Spring Seminar 2024” Reviewed

    Mitsuda Yasushi, Kodani Eiji

    Japanese Journal of Forest Planning   58 ( 1 )   41 - 42   2024.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Forest Planning  

    DOI: 10.20659/jjfp.a20240501

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  • Effects of different thinning methods on diameter growth of a 55-year-old overcrowding hinoki (<i>Chamaecyparis obtusa</i>) plantation Reviewed

    Mizokuchi Takuro, Ito Satoshi, Hirata Ryoko, Yamagishi Kiwamu, Mitsuda Yasushi

    Japanese Journal of Forest Environment   66 ( 1 )   9 - 16   2024.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society of Forest Environment  

    We investigated DBH growth of a 55-year-old hinoki plantation after ordinary thinning and line thinning in order to explore the thinning method to promote individual growth for overcrowding hinoki stands, and to examine the conditions that determine effectiveness of line thinning. The relative growth rate of DBH (RDBH) was compared among three periods; 3 years before thinning, 2 years immediately after thinning (Period I), and the following 5 years (Period II: from 3 to 7 years after thinning). The result confirmed the effectiveness of ordinary thinning for DBH growth even in overcrowded mature stand. On the other hand, RDBH decreased temporarily after line thinning during Period I compared to that before thinning. A Generalized Linear Modeling conducted for DBH as the objective variables, with the initial DBH, canopy length, and thinning method as explanatory variables, also suggested the ineffectiveness of line thinning in the investigated case. Further, multiple comparison of RDBH conducted for four groups of line-thinned residual trees with reference to their tree statuses (superior or inferior) and tree position (center or outer row) suggested that, in Period I, "thinning shock" such as water stress caused by a sudden environmental change might be one of the possible reasons contributing the growth suppression. In Period II, it is also suggested that the influence of thinning shock might disappeared or be weakened, and that the suppressed growth of the center-row, inferior trees were thought to have reduced the stand average of individual growth.

    DOI: 10.18922/jjfe.66.1_9

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Books 【 display / non-display

  • 人口減少期の農林地管理と合意形成

    光田 靖( Role: Contributor ,  市町村の森林・林業行政における合意形成)

    ナカニシヤ出版  2024.9 

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    Language:Japanese Book type:Scholarly book

  • 景観生態学

    伊藤 哲, 平田令子, 光田 靖, 深町加津枝( Role: Contributor ,  第6章 森林の景観生態)

    共立出版  2022.3 

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    Language:Japanese Book type:Scholarly book

  • 森林学の百科事典

    光田 靖( Role: Contributor)

    丸善出版  2021.1 

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    Language:Japanese Book type:Dictionary, encyclopedia

  • 森林計画学入門

    光田 靖( Role: Contributor)

    朝倉書店  2020.4 

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    Total pages:196   Responsible for pages:169-177   Language:Japanese Book type:Textbook, survey, introduction

MISC 【 display / non-display

  • Report of “JSFP Summer Seminar 2023”

    Yasushi Mitsuda

    Japanese Journal of Forest Planning   57 ( 2 )   61 - 70   2024.3

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    Authorship:Lead author   Language:Japanese   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)   Publisher:Japan Society of Forest Planning  

  • Report of “JSFP Summer Seminar 2021”

    Mitsuda Yasushi, Takahashi Masayoshi

    Japanese Journal of Forest Planning   55 ( 2 )   103 - 104   2022.3

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    Authorship:Lead author   Language:Japanese   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)   Publisher:Japan Society of Forest Planning  

    DOI: 10.20659/jjfp.55.2_103

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  • デジタル航空写真ではかる

    光田 靖

    森林科学   69   39 - 40   2013.10

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    Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)   Publisher:日本森林学会  

  • A review of spatial explicit factors determining spatial distribution of land use/land use change Reviewed

    Yasushi Mitsuda, Satoshi Ito

    Landscape and Ecological Engineering   7 ( 1 )   117 - 125   2011.1

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Springer  

    DOI: 10.1007/s11355-010-0113-4

  • 基準・指標の理念に基づく森林計画手法に関する検討

    光田 靖,家原敏郎,松本光朗,岡 裕泰

    森林計画学会誌   42 ( 1 )   1 - 14   2009.1

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    Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)   Publisher:森林計画学会  

    DOI: Methodologies of forest planning using criteria and indicators

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Presentations 【 display / non-display

  • 地位指数モデル開発における過去空中写真DSM利用の効果

    光田 靖

    第136回日本森林学会  2025.3.21 

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    Event date: 2025.3.20 - 2025.3.23

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 個体領域抽出と点群識別を組み合わせたスギ単木樹冠抽出手法の実証

    相原直生, 光田 靖

    第136回日本森林学会  2025.3.21 

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    Event date: 2025.3.20 - 2025.3.23

    Language:Japanese   Presentation type:Poster presentation  

  • 過去の空中写真によるDSMを用いた地位指数推定モデル開発の有効性

    光田 靖

    第80回九州森林学会  2024.10.11 

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    Event date: 2024.10.11

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 深層学習モデルを用いたスギ単木検出に適した画像データの検討

    相原直生, 光田 靖

    第80回九州森林学会  2024.10.11 

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    Event date: 2024.10.11

    Language:Japanese   Presentation type:Oral presentation (general)  

  • Relationship between pollination service by honey bee and landscape Invited International conference

    Mitsuda Yasushi

    International Conference on Agriculture, Food, Forestry, and Agribusiness 2024  2024.9.5 

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    Event date: 2024.9.5 - 2024.9.6

    Language:English   Presentation type:Oral presentation (general)  

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Awards 【 display / non-display

  • Methodologies of forest planning using criteria and indicators

    2013.3  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

Grant-in-Aid for Scientific Research 【 display / non-display

  • 気候変動適応のための目標林型変更を可能にする森林施業体系の開拓

    Grant number:21K18226  2021.04 - 2025.03

    独立行政法人日本学術振興会  科学研究費補助金  挑戦的研究(開拓)

    伊藤 哲、

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    Authorship:Coinvestigator(s) 

  • 広葉樹林化のための人工林撤退戦略を経済性から考える

    Grant number:20H03023  2020.04 - 2023.03

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(B)

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    Authorship:Coinvestigator(s) 

  • 大規模モノカルチャーを抑制するためのREDD+セーフガード手法の開発

    Grant number:19H02997  2019.04 - 2023.03

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(B)

    伊藤 哲、

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    Authorship:Coinvestigator(s) 

  • ミツバチによる送粉サービスの評価にもとづく森林配置計画手法の開発

    Grant number:18H02242  2018.04 - 2023.03

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(B)

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    Authorship:Principal investigator 

  • 人工林における温暖化適応技術としての植栽樹種選択手法の開発

    Grant number:15K07483  2015.04 - 2018.03

    科学研究費補助金  基盤研究(C)

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    Authorship:Principal investigator 

    本研究の目的は人工林における温暖化適応策の一つとして、気候変動下においても持続的に温暖化緩和サービスを受けることができるように植栽樹種を選択するための情報を提供することである。将来的に予測される温暖化状況下では、場所によっては現在に比べて人工林の成長が低下し、温暖化緩和サービスが低下する懸念が示唆されている。これを回避する策として、伐採後に再造林する際に温暖化した環境により適した樹種へと植え替えるという選択肢がある。本研究では温暖化に適応した人工林の植栽樹種選択を科学的に判断することを目的とする。

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