Rchr
J-GLOBAL ID：201801012274757619   Update date: Oct. 17, 2024

Yone Yasumichi

ヨネ ヤスミチ | Yone Yasumichi
Affiliation and department：
Shimane University

About Shimane University


Research field  (1)： Forest science
Research theme for competitive and other funds  (7)：
  • 2024 - 2027 物質資料としての戦争遺跡を対象とする学際的研究手法の創出
  • 2021 - 2024 Development of a Method for Forest Planning in a Typhoon Risk-Based Approach
  • 2014 - 2019 Construction of management models for forestry rationalization, forest management and residents' lives in hilly and mountainous areas
  • 2012 - 2015 Long-term change of alpine vegetation revealed by past photographs
  • 2012 - 2015 Study on development and taking hold sustainable production and social system in underdeveloped rural area in China
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Papers (10)：
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MISC (119)：
  • 米 康充. 「森林リモートセンシング2 小特集号」に寄せて. 日本リモートセンシング学会誌. 2022. 42. 1. 1-1
  • aoki chisa, Yone Yasumichi. Measurement method of forestry road and forest land surveying using UAV II. The Japanese Forest Society Congress. 2019. 130. 0
  • morioka yusuke, Yone Yasumichi. Classification of UAV images using machine learning. The Japanese Forest Society Congress. 2019. 130. 0
  • Okada Yoichiro, Aoki Chisa, Yone Yasumichi, Takada Kenichi. Analysys of the Forest Damaged by Typhoon 21 in 2018 using UAV. The Japanese Forest Society Congress. 2019. 130. 0
  • Yone Yasumichi, Aoki Chisa. Improvement of UAV measurement accuracy for forest survey using RTK II. The Japanese Forest Society Congress. 2019. 130. 0
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Books (4)：
  • リモートセンシング事典
    丸善出版 2022 ISBN:9784621307762
  • 農山村のオルタナティブ
    日本林業調査会 2021 ISBN:9784889652680
  • 森林リモートセンシング : 基礎から応用まで
    日本林業調査会 2014 ISBN:9784889652383
  • 森林リモートセンシング : 基礎から応用まで
    日本林業調査会 2010 ISBN:9784889651980
Lectures and oral presentations  (22)：
  • Evaluation of the Accuracy and Operational Efficiency of TLS and MLS for Sample Plot Survey
    (The Japanese Forest Society Congress 2023)
  • Measurement of standing trees using spherical camera II - Verification of measurement accuracy using SLAM -
    (The Japanese Forest Society Congress 2022)
  • Analysis of Time Series Aerial Photos Using Deep Learning II
    (The Japanese Forest Society Congress 2022)
  • 深層学習を用いた時系列航空写真の解析II
    (第133回日本森林学会大会)
  • ビッグデータ時代へ向けての森林リモートセンシングデータ整備
    (2020年度森林計画学会春季シンポジウム 2021)
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