KATOH MASATO
Faculty of Agriculture
Professor
Researcher Information
Research Keyword
- Forest measurement, forest planning, smart forestry, remote sensing, Laser Scanning, University venture, Precision Forestry Measurement Co., Ltd., Forest Science, Precision Forestry
Field Of Study
Web site
Career
- 2023 - Present
Shinshu University, Faculty of Agriculture, Professor - 2023 - Present
Precision Forestry Measurement Co., Ltd., 代表取締役 - 2015 - 2023
信州大学先鋭領域融合研究群山岳科学研究拠点, 教授 - 2014 - 2015
信州大学先鋭領域融合研究群 山岳科学研究所, 所長 - 2010 - 2012
Shinshu University, Faculty of Agriculture - 2005 - 2010
Shinshu University, Faculty of Agriculture - 2001 - 2005
Shinshu University, Faculty of Agriculture - 2000 - 2001
Shinshu University, Faculty of Agriculture - 1999 - 2001
Hokkaido Forestry Research Institute - 1997 - 2001
Hokkaido University, Faculty of Agriculture - 1995 - 2001
Hokkaido Forestry Research Institute - 1983 - 1994
Hokkaido Forestry Research Institute
Educational Background
Research activity information
Award
Paper
- Thinking about forestry management in Japan current status and future prospects of smart forestry
MASATO KATOH
杣径, (66), 10-18, 30 Sep. 2022, Invited
Lead, Last, Corresponding - The practical application of smart precision forestry project using laser scanning for an AI‐assisted in Japan
加藤 正人 , 鄧 送求 , 竹中 悠輝 , 中川 太人 , 藤平 光希
香川大学インターナショナルオフィスジャーナル = Journal of Kagawa University International Office, 14, 148-149, Mar. 2022 - Terrestrial laser scanning intensity captures diurnal variation in leaf water potential
Samli Junttila, T. Holtta, E. Puttonen, M. Katoh, M. Vastaranta, H. Kaartinen, M. Holopainen, H. Hyyppa
Remote Sensing of Environment, 255(15), Mar. 2021 - Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
(58) Xinlian Liang, Yunsheng Wang, Jiri Pyörälä, Matti Lehtomäki, Xiaowei Yu, Harri Kaartinen, Antero Kukko,Eija Honkavaara, Aimad E. I. Issaoui, Olli Nevalainen, Matti Vaaja, Juho-Pekka Virtanen1, Ma
Forest Ecosystems, 6(620), Apr. 2019, Not invited - レーザセンシングによるスマート精密林業
(57) 加藤正人、トウソウキュウ、竹中悠輝、張桂安、堀澤正彦、大野勝正、伊藤隆明
精密工学会誌, 85(3), 232, Mar. 2019, Not invited - Airborne laser scanning outperforms the alternative 3D techniques in capturing variation in tree height and forest density in southern boreal forests
Vastaranta, M; Yrttimaa, T; Saarinen, N; Yu, X; Karjalainen, M; Nurminen, K; Karila, K; Kankare, V; Luoma, V; Pyörälä, J; Junttila, S; Tanhuanpää, T; Kaartinen, H; Kukko, A; Honkavaara, E; Jaakkola, A; Liang, X; Wang, Y; Vaaja, M; Hyyppä, H; Katoh, M; Wulder, M.A
Baltic Forestry, 24(2), 268-277, Oct. 2018, Not invited - International benchmarking of terrestrial laser scanning approaches for forest inventories
Xinlian Liang; Juha Hyyppä; Harri Kaartinen; Masato Katoh; thers
ISPRS Journal of Photogrammetry and Remote Sensing, 144, 137-179, Oct. 2018, Refereed, Not invited - ドローンの活用によるICTスマート精密林業
加藤正人
會報, (470), 1-7, Sep. 2018, Not invited - Perceptions of Local People toward Community Development and Forest Conservation in Bangladesh: The Case of Sal Forests.
Mohammad Abdullah Al Faruq; Sourovi Zaman; Masato Katoh
Journal of Forest Planning, 22(2), 1-13, Aug. 2017, Not invited - Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms
Songqiu Deng; Masato Katoh; Xiaowei Yu; Juha Hyyp; ä; Tian Gao
8(12), 1034, Aug. 2016, Not invited - Analysis of Forest Cover Changes Using Landsat Satellite Imagery: A Case of the Madhupur Sal Forest in Bangladesh
Mohammad Abdullah Al Faruq; Sourovi Zaman; Masato Katoh
Journal of Forest Planning, 21(2), 29-38, Jun. 2016, Not invited - Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes
Xiaowei Yu; Juha Hyyppa; Mika Karjalainen; Kimmo Nurminen; Kirsi Karila; Mikko Vastaranta; Ville Kankare; Harri Kaartinen; Markus Holopainen; Eija Honkavaara; Antero Kukko; Anttoni Jaakkola; Xinlian Liang; Yunsheng Wang; Hannu Hyyppa; Masato Katoh
REMOTE SENSING, 7(12), 15933-15954, Dec. 2015, Not invited - Improved biomass estimation of individual trees using a new method and multiple remote sensing data
Nan Wang; Masato Katoh; Shinichi Yamamoto; Naoyuki Nishimura; Daisuke Hoshino
34th Asian Conference on Remote Sensing 2013, ACRS 2013, 3, 2654-2660, 2013 - Interpretation of forest resources at the individual tree level at Purple Mountain, Nanjing City, China, using worldview-2 imagery by combining GPS, RS, and GIS technologies
Songqiu Deng; Masato Katoh; Qingwei Guan; Na Yin; Mingyang Li
34th Asian Conference on Remote Sensing 2013, ACRS 2013, 3, 2683-2690, 2013 - Application of a new tree species counting method using high-resolution satellite data in an old-growth Chamaecyparis obtusa forest in central Japan
Masato Katoh; Francois A. Gougeon
34th Asian Conference on Remote Sensing 2013, ACRS 2013, 3, 2641-2646, 2013 - Long-term effect of typhoon disturbance oncarbon storage capability in an old-growth forest dominated by Chamaecyparis Obtusa in central Japan
Songqie Deng; Masato Katoh; Shin-ichi Yamamoto; Naoyuki Nishimura; Daisuke Hoshino
J. Plant Sci, 4(10), 288-301, 2013, Not invited - Forest cover type classification at Mt. Asama using ALOS fully Polarimetric PALSAR data, in Nagano prefecture, central Japan
Masato Katoh; Joji Iisaka
写真測量とリモートセンシング, 48(3), 10-19, 2009, Refereed, Not invited - Forest observation from high spatial resolution image
Masato Katoh
Proceeding 6th international Symposium on Integrated Field Science, D2, 2008, Refereed, Not invited - A practical education program in sustainable forest management
Masato Katoh
The Role of Forests for Coming Generations - Philosophy and Technology for Forest Resource Management -, 345-350, 2005, Refereed, Not invited
MISC
Books and other publications
- Remote Sensing Handbook Vol. 2 Land Resources Monitoring, Modeling, and Mapping with Remote Sensing
Juha Hyyppä, Mika Karjalainen, Xinlian Liang, Anttoni Jaakkola, Xiaowei Yu, Mike Wulder, Markus Hollaus, Joanne C. White, Mikko Vastaranta, Kirsi Karila, Harri Kaartinen, Matti Vaaja, Ville Kankare, Antero Kukko, Markus Holopainen, Hannu Hyyppä, and Masato Katoh, Joint work, Remote Sensing of Forests from Lidar and Radar
CRC Press Taylor & Francois Group, 397-428 Nov. 2015森林リモートセンシング第4版 -基礎から応用まで-
加藤正人, Editor
J-FIC, 429pp Apr. 2014
ISBN:9784889652383新版農業測量「リモ-トセンシング」
加藤正人, Single work
実教出版, 174-180 2011, Refereed新版農業測量「地理情報システム」
加藤正人, Single work
実教出版, 191-188 2011, Refereed森林サイエンス2
信州大学農学部森林科学研究会編, Single work
川辺書林, 52-66 2011森林リモートセンシング第3版-基礎から応用まで-
加藤正人編著, Joint work
J-FIC, 2010食と緑の環境科学 「森林の癒しと保健機能」
唐澤豊編, Joint work
信濃毎日新聞社, 196-201 2008改訂森林リモートセンシング
加藤正人編著, Joint work
J-FIC, 2007森林フィルードサイエンス 「リモートセンシング」
全国大学演習林協議会編, Joint work
朝倉書店, 44-49 2006森林リモートセンシング
加藤正人編著, Joint work
J-FIC, 2004森林サイエンス
信州大学農学部森林科学研究会編, Joint work
川辺書林, 55-73頁 2003森林・林業百科事典 「リモートセンシング関連用語」
小林富士雄、勝田勝、藤森隆朗、太田猛彦、箕輪光博他145名, Joint work
丸善, 4語分担頁 2001Let's enjoy 誰でもできるサンデー森づくり
加藤正人, Single work
森林計画学会出版局, 1999北方林業叢書 63
加藤正人, Joint work, 森が好きですか
北方林業会, 1995森が好きですか 「サンデー山づくりと鍋を楽しむ会」
土屋俊幸、金田平、高田勝、佐藤紘一、岩岡恵子他35名, Joint work
北方林業会(社), 33-37頁 1995Lectures, oral presentations, etc.
- Clarifying forest boundaries using remote sensing technology: A case study in Kiso Town
丸山拓見; 鄧 送求; 加藤正人; 山田 勝; 鎌田和紀; 鎌田俊介
The 136th Annual Meeting of the Japanese Forest Society, Mar. 2025, Not invitedUse of cloud GIS "Forest Guide ForPas" for forest management
原 佳輝; 加藤 正人; 鄧 送求; 清水 嘉人; Puumalainen, Tuomo
The 136th Annual Meeting of the Japanese Forest Society, Mar. 2025, Not invitedUniversity startup tackles mountain village issues using smart forestry
加藤 正人; 鄧 送求; 小澤 和浩; 殷 暁; 丸山 拓見; 原 佳輝
Classifying individual trees by species and creating forest boundary maps using AI and drone laser scanning, Mar. 2025, Not invitedVerification of a method for estimating available tree stem volume using a drone laser sYincanning
Yin Sheng; Deng Songqui; Masato Katoh
Classifying individual trees by species and creating forest boundary maps using AI and drone laser scanning, Mar. 2025, Not invitedIdentifying trees damaged by pine beetle disease using high-resolution satellite data
kazuhiro Ozawa; Deng Songqui; Masato katoh; Kouhei Yaamamoto
Classifying individual trees by species and creating forest boundary maps using AI and drone laser scanning, Mar. 2025, Not invitedClassifying individual trees by species and creating forest boundary maps using AI and drone laser scanning
Deng Songqui; Masato Katoh
第136回日本森林学会大会, Mar. 2025, Not invitedドローンによる造林地検査の省力化技術の開発
中川太人、加藤正人
第9回中部森林学会, Dec. 2019, 中部森林学会, Not invitedドローンを用いた定性と列状間伐木の画像抽出
浦野陽平・加藤正人
第9回中部森林学会, Oct. 2019, 中部森林学会, Not invitedDeep Learningによる針葉樹の単木抽出および樹種分類
林悠介、加藤正人
第9回中部森林学会, Oct. 2019, 中部森林学会, Not invitedマルチスペクトルカメラ画像と機械学習を用いた広葉樹の樹種分類ーアファンの森ー
岩井望禄、加藤正人
第9回中部森林学会, Oct. 2019, 中部森林学会, Not invited機械学習による針葉樹の樹種分類 ー信州大学構内演習林の事例
藤平光希、加藤正人
第9回中部森林学会, Oct. 2019, 中部森林学会, Not invitedレーザセンシグによるスマート精密林業技術の実践
加藤正人
第130回日本森林学会大会, Mar. 2019, 日本森林学会, Not invited普及型ドローンを用いた単木レベルの森林解析・森林情報の可視化
千代西尾輔・加藤正人
第130回日本森林学会大会, Mar. 2019, 日本森林学会, Not invitedForest resource interpretation at the individual tree level using a SLAM laser scanning system
トウソウキュウ・加藤正人
第130回日本森林学会大会, Mar. 2019, 日本森林学会, Not invitedUAVデータを活用した樹種判別 紅葉時期の農学部構内演習林を事例として
浦野陽平・中川太人・藤平光輝・トウソウキュウ・加藤正人
第130回日本森林学会大会, Mar. 2019, 日本森林学会, Not invitedレーザーセンシング情報を使用したスマート精密林業の開発
加藤正人、Juha Hyyppa
第129回日本森林学会大会, Mar. 2018, 日本森林学, Not invitedDetection of thinning trees using UAV laser data
Songqiu Deng, Masato Katoh
第129回日本森林学会大会, Mar. 2018, 日本森林学会, Not invitedレーザーセンシングによるICTスマート精密林業
加藤正人
フィンランド・日本合同シンポジウム in 東京, Feb. 2018, Not invitedDevelopment of smart precision forestry in a Japanese conifer plantation using laser scanning data、
M. Katoh; S. Deng; Y. Takenaka; K. Cheung; K. Oono; J. Hyyppä; X. Yu; X. Liang; Y. Wang
ISPRS SPEC3D, Jyväskylä、Finland, Oct. 2017, International Society for Photogrammetry and Remote Sensing, InvitedDetecting forests damaged by pine wilt disease at the individual tree level using airborne laser data and WorldView-2/3 images over two seasons
Y. Takenaka; M. Katoh; S. Deng; K. Cheung
ISPRS SPEC3D, Jyväskylä、Finland, Oct. 2017, International Society for Photogrammetry and Remote Sensing, Not invitedForest resources measurements by combination of terrestrial laser scanning and drone use
K. Cheung; M. Katoh; M. Horisawa
ISPRS SPEC3D, Jyväskylä、Finland, Oct. 2017, International Society for Photogrammetry and Remote Sensing, Not invitedTree species classification of broadleaved forests in Nagano, central Japan, using airborne laser data and multispectral images、
S. Deng; M. Katoh; Y. Takenaka; K. Cheung; A. Ishii; N. Fujii; T. Gao
workshop ISPRS SPEC3D, Jyväskylä、Finland, Oct. 2017, International Society for Photogrammetry and Remote Sensing, Not invitedSpecies classification of natural broad leaved forest in Afan woodland using airborne laser data
Songqiu Deng, Masato Katoh
第128回日本森林学会大会, Mar. 2017, 日本森林学会, Not invited航空レーザー計測と地上レーザーとUAVを組合わせた計測との比較
張桂安・加藤正人
第128回日本森林学会大会, Mar. 2017, 日本森林学会, Not invitedレーザーセンシング情報を使用した持続的なスマート精密林業の開発
加藤正人、Juha Hyyppa
第128回日本森林学会大会, Mar. 2017, 日本森林学会, Not invitedVerification of the accuracy of a new tree species counting method using high- resolution satellite data in an old-growth Chamaecyparis obtusa forest in central Japan
Masato Katoh; François A. Gougeon; Shin-ichi Yamamoto; Naoyuki Nishimura; Daisuke Hoshino; Yunqing Li
,ForestSAT2012, Sep. 2012, ForestSAT2012Oregon State University, USA, Not invitedApplication of Japan Forest resource management using RS/GIS/GPS
Masato Katoh
南京林業大学、南京市,, May 2012, 南京林業大学, InvitedCourses
- Special Lecture for Cutting Edge Research
Shinshu University - Forest information and Remote sensing
Shinshu University - Forest measurement and Geographic Information System
Shinshu University - Seminar Forest Science1
Shinshu University - Seminar Forest Science1
Shinshu University - 先鋭領域融合研究群最先端研究特講
Shinshu University
Affiliated academic society
Works
Research Themes
- Efficient clarification of forest boundaries by watershed and conceptual design of management proposals using drones and AI
スタートアップ総合支援プログラム(SBIR支援), NEDO, フェーズ1
精密林業計測株式会社
Jul. 2024 - Mar. 2025 - Development of AI-based forest analysis technology to accelerate data integration between forestry and construction Digital Transformation
成長型中小企業等研究開発支援事業(Go-Tech事業), 経済産業省
信州TLO株式会社
Apr. 2022 - Mar. 2025 - A demonstration project to reduce costs and return profits to the producers, based on data integration between upstream and downstream sources
「新しい林業」経営モデル実証事業、, 林野庁
信州大学
Apr. 2022 - Mar. 2025 - 空と陸の次世代レーザセンシング統合による立木の高精度な品等区分技術の開発
科学研究費助成事業, 日本学術振興会, 基盤研究(B)
信州大学
01 Apr. 2020 - 31 Mar. 2023 - Development of high precision estimation method for tree species resource of natural broadleaved trees using next generation laser sensing
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B)
Shinshu University
01 Apr. 2017 - 31 Mar. 2020 - The establishment of high-precision forest biomass estimation method by the next generation remote sensing data
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B)
Shinshu University
01 Apr. 2012 - 31 Mar. 2015 - Semi-automatic thinning stand delineation using advanced high resolution remote sensing data
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C)
Shinshu University
2009 - 2011 - Development of automatic classification method for forest resource management using advanced remote sensing data
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C)
Shinshu University
2006 - 2008 - A study on carbon stock database of forest using high-resolution image data
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B)
Niigata University
2004 - 2005 - A Study on the Potentiality of Environment Accounting for Sustainable Forest Management
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C)
Shinshu University
2002 - 2005 - Emergency estimation of carbon stock in forest using high-resolution space images data
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B)
NIIGATA UNIVERSITY
2002 - 2003 - Smart precision forestry using laser scanning
- remote sensing and GIS
Industrial Property Rights
- 植栽木自動検出装置、植栽木自動検出方法およびプログラム, 特許第7687611号, 特開2022-165313, 特願2021-070641, Patent right
加藤 正人; 中川 太人; 藤平 光希; トウ ソウキュウ; 竹中 悠輝 - 森林資源情報算定装置、森林資源情報算定方法およびプログラム, 特許第7644931号, 特開2023-003767, 特願2021-105040, Patent right
加藤 正人; トウ ソウキュウ; 竹中 悠輝 - Forest Guide, 商願2025-10074
Precision Forestry Measurement Co., Ltd - ForPas, 商願2025-10073
Precision Forestry Measurement Co., Ltd - 林相区分図作成装置、林相区分図作成方法及びプログラム, 特開2024-129504, 特願2023-038748, Patent right
加藤 正人; トウ ソウキュウ; 竹中 悠輝 - 森林被害木自動検出装置、森林被害木自動検出方法およびプログラム, 特開2023-105672, 特願2022-006647, Patent right
加藤 正人; 藤平 光希; 中川 太人; トウ ソウキュウ; 竹中 悠輝 - 森林資源情報算定装置、森林資源情報算定方法およびプログラム, 特開2023-003767, 特願2021-105040, Patent right
加藤 正人; トウ ソウキュウ; 竹中 悠輝 - 伐採状況調査用データ作成方法及び伐採状況調査用データ作成装置, 特許第7210009号, 特開2020-112887, 特願2019-001419, Patent right
加藤 正人; トウ ソウキュウ - 間伐木の選定方法及び間伐木の選定装置, 特許第7169640号, 特開2020-080663, 特願2018-215554, Patent right
加藤 正人; トウ ソウキュウ - 森林資源情報算定方法及び森林資源情報算定装置, 特許第7157434号, 特開2019-185449, 特願2018-076426, Patent right
加藤 正人; 張 桂安 - 森林資源情報算定方法及び森林資源情報算定装置, 特許第6570039号, 特開2018-084472, 特願2016-227207, Patent right
加藤 正人; トウ ソウキュウ - 樹種分類方法及び樹種分類システム、森林現況情報の作成方法及び森林現況情報の作成システム、間伐対象区域の選定方法及び間伐対象区域の選定システム, 特許第4900356号, 特開2010-086276, 特願2008-254520, Patent right
加藤 正人 - 樹木本数算定方法及び樹木本数算定装置, 特許第4858793号, 特開2011-103098, 特願2009-258507, Patent right
加藤 正人
Social activity informationAvailable resources (prototypes, experimental materials, data, etc.)
- 1.リモートセンシングによる森林資源の把握2.GISによる森林管理システムの構築3.生態系に配慮した多様な森づくりの提案と実践, 1.Grasp of Forest resources1.Which tree species is there? Where? How much?It efficiently measures it from the ground, the sky and space.2.Construction of data base and forest management systemIntegration of satellite and photograph images, map, and investigation data using GIS3.Diversiy in the managed forestProposal and practice of various forest-makings which consider ecosystem