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J-GLOBAL ID:200901000424697069   Update date: Dec. 04, 2024

Yamamoto Kazukiyo

Yamamoto Kazukiyo
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Homepage URL  (1): http://www.agr.nagoya-u.ac.jp/~remosen/index.html
Research field  (1): Forest science
Research theme for competitive and other funds  (12):
  • 2018 - 2021 Construction of a new theory of forest measurement for terrestrial laser scanning
  • 2016 - 2020 Developing unified forest management system by integrated water and carbon cycle analysis in forested watersheds
  • 2015 - 2019 Development of simple forest measurement system by ultra high resolution panoramic image
  • 2014 - 2017 Caluculation of landscape management labor accounts for the appropriate landscape management
  • 2012 - 2015 Development of early forest resource utilization diagnostic system
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Papers (21):
  • Simone Vongkhamho, Akihiro Imaya, Kazukiyo Yamamoto, Chisato Takenaka, Hiroyuki Yamamoto. Influence of Topographic Conditions on Teak Growth Performance in Mountainous Landscapes of Lao PDR. FORESTS. 2022. 13. 1
  • Akio Inoue, Ryota Koyama, Kazuki Koshikawa, Kazukiyo Yamamoto. Comparison of models for estimating stem surface area of coniferous trees grown in old-growth natural forests. JOURNAL OF FOREST RESEARCH. 2021. 26. 1. 1-6
  • Simone Vongkhamho, Akihiro Imaya, Chisato Takenaka, Kazukiyo Yamamoto, Hiroyuki Yamamoto. Correlations among Tree Quality, Stand Characteristics, and Site Characteristics in Plantation Teak in Mountainous Areas of Lao PDR. FORESTS. 2020. 11. 7
  • Koshikawa Kazuki, Ota Tetsuji, Mizoue Nobuya, Yamamoto Kazukiyo, Inoue Akio. Improvement of Pressler Method for Predicting Tree Height with Terrestrial Laser Scanning. Journal of the Japanese Forest Society. 2020. 102. 2. 133-138
  • Hoshikawa, T., Yamamoto, K. Individual tree detection and classification for mapping pine wilt disease using multispectral and visible color imagery acquired from unmanned aerial vehicle. 2020. 40. 1. 13-19
more...
MISC (7):
  • Hoshikawa Takeshi, Kato Toru, Enda Kei, Sasaki Shigeki, Yamamoto Kazukiyo. Development of individual tree classification method of pine wilt disease using UAV image. The Japanese Forest Society Congress. 2019. 130. 0. 85-85
  • Sasaki Shigeki, Hoshikawa Takeshi, Yamamoto Kazukiyo. Classification of single-tree species in Sugi and Hinoki forests using aerial photographic images by UAV. The Japanese Forest Society Congress. 2019. 130. 0. 169-169
  • Hoshikawa Takeshi, Kato Toru, Enda kei, Yamamoto Kazukiyo. Identifying individual trees with pine wilt disease using UAV with multispectral camera. The Japanese Forest Society Congress. 2018. 129. 0. 83-83
  • 鈴木,和良, 兒玉,裕二, 中井,太郎, 山本,一清, 大畑,哲夫, 石井,吉之, 隅田,明洋, 原,登志彦, 太田,岳史. C453 北海道北部の多雪森林地域における領域スケールの積雪分布と水・熱フラックス(広域スケールの陸域生物圏研究に関する最新の動向,専門分科会). 大会講演予講集. 2008. 93. 248
  • Kazuyoshi Suzuki, Tetsuo Ohata, Yuji Kodama, Taro Nakai, Yoshiyuki Ishii, Akihiro Sumida, Toshihiko Hara, Glen E. Liston, Kazukiyo Yamamoto, Takeshi Ohta. Impact of land use change on snow distribution and water balance. Summaries of JSSI and JSSE Joint Conference on Snow and Ice Research. 2008. 2008. 8
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