Futoshi Nakagawa, Mitsuki Fujihira, S. Deng, M. Katoh
{"title":"Development of automatic seedling detection method using UAV images and machine learning","authors":"Futoshi Nakagawa, Mitsuki Fujihira, S. Deng, M. Katoh","doi":"10.20659/jjfp.55.1_35","DOIUrl":"https://doi.org/10.20659/jjfp.55.1_35","url":null,"abstract":"","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Report on “Online free talk on policy for forest, forestry and Forest industries of Japan”","authors":"Masayoshi Takahashi, Shinya Tanaka","doi":"10.20659/jjfp.55.1_43","DOIUrl":"https://doi.org/10.20659/jjfp.55.1_43","url":null,"abstract":"","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122731933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Individual tree canopy detection and species classification of conifers by deep learning","authors":"Y. Hayashi, S. Deng, M. Katoh, R. Nakamura","doi":"10.20659/jjfp.55.1_3","DOIUrl":"https://doi.org/10.20659/jjfp.55.1_3","url":null,"abstract":"*連絡先(Corresponding author)E-mail : yugoku 0118@outlook.jp 1 信州大学大学院総合理工学研究科農学専攻(399-4598 長野県上伊那郡南箕輪村8304) Department of Agriculture, Graduate School of Science and Technology, Shinshu University, 8304 Minamiminowa-Vill., Kamiina-Dtrct., Nagano 399-4598, Japan 2 信州大学先鋭領域融合研究群山岳科学研究拠点(399-4598 長野県上伊那郡南箕輪村8304) Institute for Mountain Science, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, 8304 Minamiminowa-Vill., Kamiina-Dtrct., Nagano 399-4598, Japan 3 産業技術総合研究所人工知能研究センター(135-0064 東京都江東区青海2-4-7) Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-Ku, Tokyo 135-0064, Japan 林悠介・トウソウキュウ・加藤正人・中村良介:ディープラーニングによる針葉樹の単木樹冠検出と樹種分類, 森林計画誌55:3~22,2021 近年,単木レベルの樹種把握に機械学習(ML)や深層学習(DL)が活用され ている。しかし,従来手法は解析者の経験と労力を要する上に,新規データへのモデル適用が難しかった。本 研究では,UAVとALS で取得したデータ(RGB,樹冠高モデル(H),傾斜モデル(S))にDL手法Mask RCNNを適用し,自動で単木樹冠・樹種推定が可能なモデルの構築を試みた。信州大学農学部構内演習林の多 時期データから3種類のデータセット(RGB,RGB+H,RGB+S)を作成し,優占する針葉樹(アカマツ, カラマツ,ヒノキ)を検出・分類するモデルの構築を行った。これらを用いて,新規の4サイトで単木樹冠・ 樹種推定を行った結果,RGB+Sモデルでは検出率0.905,分類精度0.955と3モデル中最も汎化性能があり, 新規サイトへの適用可能性が高いことが明らかとなった。今後はより環境条件に依存しないモデル構築が求め られ,DL手法の最適化や学習効率向上,データ蓄積等が課題である。","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125468198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hiroyuki Kobayashi, S. Takagishi, Eiji Morikawa, Kenichi Hosono, Akira Eguchi, Kohei Kojima
{"title":"Accuracy verification of photogrammetry by the combination of an UAV with RTK function and a mobile GNSS station","authors":"Hiroyuki Kobayashi, S. Takagishi, Eiji Morikawa, Kenichi Hosono, Akira Eguchi, Kohei Kojima","doi":"10.20659/jjfp.55.1_23","DOIUrl":"https://doi.org/10.20659/jjfp.55.1_23","url":null,"abstract":"survey, nadiral and oblique air photographs were taken by an UAV with RTK function. Three-dimensional RMSE of the nadiral and oblique photographing were 7.514.0, 4.26.7, 2.43.6 cm and 6.19.5, 2.03.3, 2.75.5 cm, with 0, 1 and 5 GCPs respectively. It was considered that oblique photographing without any GCPs was suitable for forest photogrammetry with both cost and accuracy perspective, because both horizontal and vertical RMSE were less than 10 cm. Furthermore, it was considered that oblique photographing with one GCP is also good for better accuracy.","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131361024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Takenaka, S. Deng, M. Katoh, K. Nagasawa, Ryo Masui
{"title":"Forest resource analysis of broadleaf trees using three types of UAV-mounted sensors","authors":"Y. Takenaka, S. Deng, M. Katoh, K. Nagasawa, Ryo Masui","doi":"10.20659/jjfp.55.1_39","DOIUrl":"https://doi.org/10.20659/jjfp.55.1_39","url":null,"abstract":"長野県の民有林森林面積は約68.7万 ha であり,そ のうち広葉樹林は約4割を占めている(長野県, 2020)。調査地の大町市が含まれる北アルプス地域管 内では民有林の約7割,下諏訪町の含まれる諏訪地域 管内では3割を占めている。燃料用に育てられた広葉 樹がエネルギー革命によって使われなくなったため, 高齢級な広葉樹が多い。しかし,ケヤキやクリのよう な有用広葉樹は高値取引が期待できるものの,長野県 では利用可能な広葉樹の植生区域が不確定なことや伐 採から販売までの実施例が少ないなどの課題を抱えて おり,広葉樹の素材生産量は長野県における総素材生 産量の2%程度に留まっている(長野県,2019)。 筆者らは木材生産林の計画策定に生かせる広葉樹資 源情報を把握し,広葉樹の利用促進を図るため,人工 衛星画像や航空レーザ,ドローンデータ等を用いて, 広葉樹の蓄積量や樹種分布を情報取得することを目指 している。本研究ノートでは,3種類のドローンを用 いて長野県大町市及び下諏訪町で広葉樹の材積と樹種 分布を調査した内容について報告する。材積について は空間体積と材積の回帰式の精度を示し,樹種につい ては2種類のドローンで緑葉期と紅葉期の2時期に計 測したデータを用いて分類した精度を比較する。","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128082503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Actual Conditions of Forest Therapy Roadʼs Utilization and its Contribution to Local Community:","authors":"M. Hirashima, S. Tachibana","doi":"10.20659/JJFP.54.2_83","DOIUrl":"https://doi.org/10.20659/JJFP.54.2_83","url":null,"abstract":"Minami-Minowa Village, which has Shinshu Oshiba-plateau Minnanomori certified as the Forest Therapy Road and has the highest population growth rate among the municipalities in Nagano Prefecture. We adopted three methods: a cohort analysis of population changes in Minami-Minowa Village, interviews with key persons like village office staff and patriarchs, and a questionnaire survey for users of the Therapy Road. The main results are as follows: the use of Minami-Minowa Village's therapy road is dominated by neighboring local residents for the purpose of health promotion, and regular and continuous use is carried out at least once a week. It became clear that there are 輪村(3.6%増)の3市町村であり,南箕輪村は長野 県で最も高い人口増加率が認められる村である。2つ の研究目的に関する分析を深めるために,本研究では 南箕輪村の長期的な人口動態も把握することとする。 many users who feel a positive change in mind and body by using it. Based upon the results it was considered that continuous use may lead to a reduction of medical expenses. We have indicated the importance of considering what kind of forest the therapy road should be implemented in, how much intrusion is appropriate for the purpose of the therapy road and the satisfaction of the users and attracting tourists with a view to multiple uses of the therapy area.","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115956432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akihiro Miyagi, Y. Minowa, Yuhka Mori, Akane Kaneda, Mao Kawamura
{"title":"Physical attenuation effects of forest spaces on noises","authors":"Akihiro Miyagi, Y. Minowa, Yuhka Mori, Akane Kaneda, Mao Kawamura","doi":"10.20659/JJFP.54.2_93","DOIUrl":"https://doi.org/10.20659/JJFP.54.2_93","url":null,"abstract":"used a sound test to determine the physical attenuation effects of forest spaces on noises. We selected a 10(cid:186)50 m study area in a deciduous broad-leaved forest in Ohmi District, Sakyo-ku, Kyoto City. Oscillating sound was sampled at 80 and 95 dBs, and the sampling frequency comprised nine patterns : eight sine waves(125, 250, 500, 1,000, 2,000, 4,000, 5,000 and 8,000 Hz),and white noise. The sounds were oscillated from a set oscillation point and recorded at the heights of 1.3 and 5.0 m at five sound recording points. The sound pressure levels of the recorded sounds were then analyzed. A sound test was performed twice: before and after the falling of leaves. We created a standing tree map and a crown projection diagram based on tree census data, calculated the volume of the space occupied by the branches and leaves in the tree crowns, and established the presence and absence of leaves. The differences between the measured and theoretical values of sound-pressure levels(hereinafter, the","PeriodicalId":234210,"journal":{"name":"Japanese Journal of Forest Planning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}