Updated on 2025/02/27

写真a

 
NISHIYAMA Satoshi
 
Organization
Faculty of Environmental, Life, Natural Science and Technology Professor
Position
Professor
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Degree

  • (BLANK) ( 2003.3   Kyoto University )

Research Interests

  • Maintenance and management engineering

  • Geotechnical engineering

  • Measurement engineering

  • Civil engineering works

  • Natural disaster science

Research Areas

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Disaster prevention engineering  / Natyral disaster science

Education

  • Kyoto university   School of engineering   Earth resource and energy engineering

    1984.4 - 1986.3

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  • Kyoto University   工学部   資源工学科

    1980.4 - 1984.3

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Research History

  • Okayama university   Environmental and life science   Professor

    2013.4

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  • Kyoto University   Graduate School of Engineering   Associate Professor

    2010.4 - 2013.3

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  • Kyoto University   Graduate School of Engineering, Department of Urban and Environmental Engineering   Associate Professor

    2007.4 - 2010.3

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  • Kyoto University   Graduate School of Engineering, Department of Urban and Environmental Engineering   Associate Professor (as old post name)

    2004.3 - 2007.3

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  • Kyoto University   Graduate School of Engineering, Department of Civil Engineering Systems   Research Assistant

    2000.4 - 2004.3

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Professional Memberships

  • JAPAN SOCIETY OF CIVIL ENGINEERS

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  • THE JAPANESE GEOTECHNICAL SOCIETY

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  • THE MINING AND MATERIALS PROCESSING INSTITUTE OF JAPAN

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  • JAPANESE SOCIETY FOR ROCK MECHANICS

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  • JAPANESE ASSOCIATION OF GROUNDWATER HYDROLOGY

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Committee Memberships

  • 土木学会中国支部   中国支部支部長  

    2024.6   

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    Committee type:Academic society

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  • 土木学会中国支部   中国支部支部長  

    2024.6 - 2025.6   

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    Committee type:Academic society

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  • 岡山県   土地開発技術アドバイザー  

    2024.4   

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  • 岡山市都市・消防政策審議会   会長  

    2022.10   

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  • 倉敷市総合浸水対策推進協議会   会長  

    2022.7   

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    Committee type:Municipal

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Papers

  • Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method Reviewed

    Shijun Pan, Keisuke Yoshida, Satoshi Nishiyama, Takashi Kojima, Yutaro Hashimoto

    Land   14 ( 2 )   217 - 217   2025.1

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    Publishing type:Research paper (scientific journal)   Publisher:MDPI AG  

    Riverine environmental information includes important data to collect, and the data collection still requires personnel’s field surveys. These on-site tasks still face significant limitations (i.e., hard or danger to entry). In recent years, as one of the efficient approaches for data collection, air-vehicle-based Light Detection and Ranging technologies have already been applied in global environmental research, i.e., land cover classification (LCC) or environmental monitoring. For this study, the authors specifically focused on seven types of LCC (i.e., bamboo, tree, grass, bare ground, water, road, and clutter) that can be parameterized for flood simulation. A validated airborne LiDAR bathymetry system (ALB) and a UAV-borne green LiDAR System (GLS) were applied in this study for cross-platform analysis of LCC. Furthermore, LiDAR data were visualized using high-contrast color scales to improve the accuracy of land cover classification methods through image fusion techniques. If high-resolution aerial imagery is available, then it must be downscaled to match the resolution of low-resolution point clouds. Cross-platform data interchangeability was assessed by comparing the interchangeability, which measures the absolute difference in overall accuracy (OA) or macro-F1 by comparing the cross-platform interchangeability. It is noteworthy that relying solely on aerial photographs is inadequate for achieving precise labeling, particularly under limited sunlight conditions that can lead to misclassification. In such cases, LiDAR plays a crucial role in facilitating target recognition. All the approaches (i.e., low-resolution digital imagery, LiDAR-derived imagery and image fusion) present results of over 0.65 OA and of around 0.6 macro-F1. The authors found that the vegetation (bamboo, tree, grass) and road species have comparatively better performance compared with clutter and bare ground species. Given the stated conditions, differences in the species derived from different years (ALB from year 2017 and GLS from year 2020) are the main reason. Because the identification of clutter species includes all the items except for the relative species in this research, RGB-based features of the clutter species cannot be substituted easily because of the 3-year gap compared with other species. Derived from on-site reconstruction, the bare ground species also has a further color change between ALB and GLS that leads to decreased interchangeability. In the case of individual species, without considering seasons and platforms, image fusion can classify bamboo and trees with higher F1 scores compared to low-resolution digital imagery and LiDAR-derived imagery, which has especially proved the cross-platform interchangeability in the high vegetation types. In recent years, high-resolution photography (UAV), high-precision LiDAR measurement (ALB, GLS), and satellite imagery have been used. LiDAR measurement equipment is expensive, and measurement opportunities are limited. Based on this, it would be desirable if ALB and GLS could be continuously classified by Artificial Intelligence, and in this study, the authors investigated such data interchangeability. A unique and crucial aspect of this study is exploring the interchangeability of land cover classification models across different LiDAR platforms.

    DOI: 10.3390/land14020217

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  • APPLICATION OF IMAGE GENERATION AI IN MODEL FOR DETECTING PLASTIC BOTTLES DURING RIVER PATROL USING UAV

    Daichi SHIMOE, Shijun PAN, Keisuke YOSHIDA, Satoshi NISHIYAMA, Takashi KOJIMA

    Japanese Journal of JSCE   81 ( 16 )   n/a - n/a   2025

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejj.24-16180

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  • 長時間航行ドローンの開発と3次元グリーンレーザ計測技術の研究 Reviewed

    佐野 ひかる, 西山 哲, 冨井 隆春, 間野 耕司

    土木学会 AI・データサイエンス論文集   5 ( 3 )   697 - 705   2024.11

  • PRACTICAL APPLICATION OF MONITORING TECNOLOGY FOR DREDGED SEDIMENT DISPOSAL SITES USING UAV Reviewed

    Ichiro TERUYA, Satoshi NISHIYAMA

    Japanese Journal of JSCE   80 ( 18 )   24-18101   2024.10

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejj.24-18101

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  • Generating 3D Models for UAV-Based Detection of Riparian PET Plastic Bottle Waste: Integrating Local Social Media and InstantMesh Reviewed

    Shijun Pan, Keisuke Yoshida, Daichi Shimoe, Takashi Kojima, Satoshi Nishiyama

    Drones   8 ( 9 )   471 - 471   2024.9

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    Publishing type:Research paper (scientific journal)   Publisher:MDPI AG  

    In recent years, waste pollution has become a severe threat to riparian environments worldwide. Along with the advancement of deep learning (DL) algorithms (i.e., object detection models), related techniques have become useful for practical applications. This work attempts to develop a data generation approach to generate datasets for small target recognition, especially for recognition in remote sensing images. A relevant point is that similarity between data used for model training and data used for testing is crucially important for object detection model performance. Therefore, obtaining training data with high similarity to the monitored objects is a key objective of this study. Currently, Artificial Intelligence Generated Content (AIGC), such as single target objects generated by Luma AI, is a promising data source for DL-based object detection models. However, most of the training data supporting the generated results are not from Japan. Consequently, the generated data are less similar to monitored objects in Japan, having, for example, different label colors, shapes, and designs. For this study, the authors developed a data generation approach by combining social media (Clean-Up Okayama) and single-image-based 3D model generation algorithms (e.g., InstantMesh) to provide a reliable reference for future generations of localized data. The trained YOLOv8 model in this research, obtained from the S2PS (Similar to Practical Situation) AIGC dataset, produced encouraging results (high F1 scores, approximately 0.9) in scenario-controlled UAV-based riparian PET bottle waste identification tasks. The results of this study show the potential of AIGC to supplement or replace real-world data collection and reduce the on-site work load.

    DOI: 10.3390/drones8090471

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MISC

  • EXTRACTON OF ROAD SLOAP DISASTER RISK LOCATIONS UTILIZING 3D POINT DATA AND AI

    Akita Shosuke, Nishiyama Satoshi

    14th Int. Conf. on GEOMATE 2024   2024.11

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  • Research on maintenance of slopes using 3D data during construction

    Takao Misaki, Satoshi Nishiyama

    14th Int. Conf. on GEOMATE 2024   2024.11

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  • EFFECTIVE DREDGING MONITORING METHODOLOGY UTILIZING UNMANNED SURFACE VEHICLE (USV)

    Katsuhiro Ibaraki, Satoshi Nishiyama

    14th Int. Conf. on GEOMATE 2024   2024.11

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  • BIM/CIMモデルを用いた維持管理手法の研究

    三崎 貴雄, 西山 哲

    令和6年度 土木学会年次学術講演会   CS11-15   2024.9

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  • MMSで取得した3次元点群データの課題と道路防災への活用法の検討

    鈴木 敏成, 西山 哲

    第 76 回 土木学会中国支部研究発表会概要集 I-22   2024.6

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Presentations

  • ICRT技術を活用した高精度かつ効率的な斜面・法面点検の開発 ー建設DX時代における道路斜面防災・減災の在り方を考えるー Invited

    西山哲, 冨井隆春, 菊地輝行, 藤本次昭

    新都市社会技術融合創造研究会 (国土交通省近畿地方整備局近畿技術事務所主催)  2021.12.6 

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    Event date: 2021.12.6

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  • 国土強靭化とインフラDX Invited

    西山 哲

    建設技術フォーラム in 中国  2021.11.18 

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    Event date: 2021.11.18

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  • また来る水害に備えるには Invited

    西山 哲

    令和3年度政令指定都市主管課長会議  2021.10.8 

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    Event date: 2021.10.8

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  • 建設業におけるDXの活用法を考える Invited

    西山 哲

    全日本建設技術協会 岡山県協会技術講習会  2021.7.30 

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    Event date: 2021.7.30

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  • 紡ぐ記憶―晴れの国から未来へ送るメッセージ Invited

    伊原木隆太, 岡山県知事, 多田智, 国土交通省中国地方整備局長, 金藤純子, EnPal代表取締役, 西山哲, 岡山大大学院環境生命科学研究科教授

    山陽新聞社 西日本豪雨災害3周年 復興支援シンポジウム  2021.7.22 

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    Event date: 2021.7.22

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Works

  • 斜面崩壊監視システムの構築

    2000

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  • Development of Measurement System of Displacement using Precies Photgrammetry

    2000

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  • 精密写真測量による高精度変位計測システムの開発

    2000

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  • Development of Monitoring System of Slope Stability

    2000

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Awards

  • インフラメンテナンス大賞優秀賞

    2025.1   国土交通省  

    狩屋雅之, 西山哲, 横山洋範, 平手克治, 鹿谷幸史, 太田敬二

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  • 論文賞

    2023.6   公益社団法人 地盤工学会   トンネル施工時の湧水量の予測手法の拡張と実トンネルへの適用

    久保田恭行,森守正,安田享,小山倫史,西山哲

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  • AI・データサイエンス奨励賞

    2022.12   公益社団法人 土木学会 構造工学委員会   Drone-LiDAR-assisted Image Fusion methodology for Deep Learning-based Land Cover Classification

    Shijun PAN, Keisuke YOSHIDA, Takashi KOJIMA, Satoshi NISHIYAMA

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  • 第5回インフラメンテナンス大賞 優秀賞

    2021.12   国土交通省   産官学で取り組む『岡山道路パトロール隊』

    狩屋 岡山工業高校, 平手 日本非破壊検査工業会, 西山 岡山大学学術研究院, 岡本 国土交通省岡山国道事務, 柳川 日本道路, 小井住 NIPPO

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  • 論文賞

    2020.6   日本情報地質学会   航空レーザ計測データを用いた地すべり・崩壊斜面における地形判読と地形変状規模の定量化

    菊地 輝行・﨑田 晃基・秦野 輝儀・西山 哲

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Research Projects

  • Research on technology to measure the condition of a wide range of river embankments and river beds in three dimensions in real time and with high accuracy

    Grant number:22K04653  2022.04 - 2025.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    西山 哲

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    Grant amount:\4160000 ( Direct expense: \3200000 、 Indirect expense:\960000 )

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  • Study on measurement technology to detect river bank and subsurface deformation simultaneously, accurately, and at low cost

    Grant number:19K04949  2019.04 - 2022.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    nishiyama satoshi

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    Grant amount:\4290000 ( Direct expense: \3300000 、 Indirect expense:\990000 )

    1) Realization of mobile laser point group measurement system: A three-dimensional measurement system utilizing SLAM (Simultaneous Localization and Mapping) algorithm has been put into practical use.2) Development of real-time processing technology for 3D data: In combination with the method described in 1), it was demonstrated that laser point group processing software could be constructed to detect the location of deformation of river embankments and river structures in real time. 3) Utilization of green laser that penetrates water and enables measurement of riverbed: We verified the relationship between the water penetration capacity of a green laser with a wavelength of 515 nm and the transparency of rivers, and the water depth is up to about 1.5 times the depth that can be visually confirmed.

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  • Research on high precision taravelling vehicle measurement technology for maintenance of river embankment and river structure

    Grant number:16K01329  2016.04 - 2019.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    nishiyama satoshi, mano kouji, tachibana kikuo

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    Authorship:Principal investigator  Grant type:Competitive

    Due to the lack of human resources and financial problems, further streamlining of inspection work of river embankments and river structures is required. Therefore, it is becoming more important to use ICRT technology to improve maintenance and management levels through preventive maintenance with high efficiency and low cost. Measurement methods using a travelling vehicle with various measurement devices have been expected to be techniques for efficiently checking a wide area, but due to problems such as lack of measurement accuracy and data processing requiring experience,it has not been used. In order to solve this problem, this research aimed to improve the accuracy of the travelling vehicle measurement method equipped with a laser scanner and digital imaging equipment, and put into practice the monitoring technology of river embankments and structures.

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  • A study on ultrasonic attenuation mechanism in crystalline rock core sample

    Grant number:26420459  2014.04 - 2017.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    Kimoto Kazushi, NISHIYAMA Satoshi

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    Grant amount:\4940000 ( Direct expense: \3800000 、 Indirect expense:\1140000 )

    In this study, ultrasonic measurements and the signal processing were carried out aiming to understand the elastic wave propagation characteristics in a highly heterogeneous crystalline rock core samples. For the ultrasonic measurements, PZT and laser Doppler vibrometer were used. With the measurement setup, longitudinal (L), shear(S) and Rayleigh surface(R) waves transmitted through a cylindrical granite samples were measured. It was shown as the result, that the granite core behaves as an acoustically orthotropic material which can support a ballistic waves having the frequency components up to 500kHz. Another important finding is that the grain boundaries act as a relatively weak scatterer while strong scattering occurs at more sparsely distributed micro cracks.

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  • Study on three dimensional detection method of river dike deformation with rapid response , wide area and a high accuracy for river disaster prevention

    Grant number:25420501  2013.04 - 2016.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    NISHIYAMA SATOSHI

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    Authorship:Principal investigator  Grant type:Competitive

    We have had lots of heavy rains caused by global abnormal weather, and these days the damage of the flood by river dike collapse has occurred frequently. However, inspection works for maintenance of river dike depends on visual inspection by experts, and only qualitative observation has carried out for river dike maintenance.In this study, we developed measurement method using vehicle equipped with a laser scanner apparatus. This measurement method can monitor the river dike of wide area in real time with three dimension and a high accuracy, and it has an advantage that we can perform the monitoring work without human efforts and time consuming. We completed the monitoring technique to grasp exactly before and after a disaster where and how the river dike is dangerous by using the vehicle measurement method.

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Class subject in charge

  • Seminar on STI for SDGs (2024academic year) Concentration  - その他

  • Technical Communication for Engineers (2024academic year) Fourth semester  - 月3~4

  • ICT technology for realizing smart agriculture (2024academic year) Concentration  - その他

  • Terrestrial Information Management (2024academic year) 3rd and 4th semester  - 金5~6

  • Terrestrial Information Management Practice (2024academic year) 3rd and 4th semester  - 金7~8

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Media Coverage

  • ドローングリーンドローンレーザースキャナ新時代 利点活かすマニュアル作り Newspaper, magazine

    建設通信新聞  関西建設ICT特集  2021.10.29

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  • 西日本豪雨3年 復興シンポジウム 紡ぐ記憶―晴れの国から未来へ送るメッセージー Newspaper, magazine

    山陽新聞  社会面  2021.8.22

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  • 西日本豪雨3年 復興シンポジウム 紡ぐ記憶―晴れの国から未来へ送るメッセージー Internet

    山陽新聞社  西日本豪雨3年 復興シンポジウム 紡ぐ記憶―晴れの国から未来へ送るメッセージー  2021.7.20

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  • 洪水危険個所ドローン測量-自治体災害対策へ― Newspaper, magazine

    山陽新聞  社会面  2021.3.3

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