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SEKIYAMA Ayako Professor |
From Graduate School 【 display / non-display 】
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Tokyo University of Agriculture Graduate School, Division of Agriculture Doctor Course Completed
2007.04 - 2010.03
Country：Japan
Studying abroad experiences 【 display / non-display 】
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2019.09 - 2020.08 University of Natural Resources and Life Sciences Guest Researcher
Employment Record in Research 【 display / non-display 】
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Tokyo University of Agriculture Faculty of Regional Environment Science Department of Bioproduction and Environment Engineering Professor
2024.04
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Tokyo University of Agriculture Faculty of Regional Environment Science Department of Bioproduction and Environment Engineering Assistant Professor
2014.04 - 2016.09
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Tokyo University of Agriculture Faculty of Regional Environment Science Department of Bioproduction and Environment Engineering Associate Professor
2016.10 - 2024.03
External Career 【 display / non-display 】
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東京大学生産技術研究所 人間・社会系部門 竹内研究室 特任助教
2012.04 - 2014.03
Country：Japan
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Tokyo University of Information Sciences Assistant Professor
2010.04 - 2012.03
Country：Japan
Professional Memberships 【 display / non-display 】
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日本沙漠学会
2013.04
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日本写真測量学会
2010.04
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日本リモートセンシング学会
2010.04
Papers 【 display / non-display 】
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Applicability of Farmlands Detection in Djibouti from Satellite Imagery using Deep Learning Reviewed
Takumi SATO, Ayako Sekiyama*, Syuhei SAITO and Sawahiko SHIMADA
Journal of Arid Land Studies 32 ( S ) 181 - 185 2022.12
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)
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Land cover classification of arid land in Ali Faren, Djibouti, using 3D point cloud data obtained by UAV imagery Reviewed
MAY CUEVAS Sergio Azael, RUBANGA Denis Pastory, SAITO Shuhei, SEKIYAMA Ayako, SHIMADA Sawahiko, GUIRREH Dayah Aden, ABDALLAH Abdillahi Houssein
Journal of Arid Land Studies 32 ( S ) 165 - 169 2022.12
Language：English Publisher：The Japanese Association for Arid Land Studies
Land cover classification is vital for ecosystem assessment, desertification monitoring and vegetation inventorying. In recent years new technologies have emerged that can be used for land classification. One of these technologies are Unmanned Aerial Vehicles (UAV), that can take images applicable for remote sensing, and which allow collection of data in places that may be difficult to access. The study site is located in Ali Faren (42°49ʹ48ʺ E, 11°21ʹ43ʺ) at the Province of Arta, Djibouti. It is intended to use the 3D cloud point data generated from RGB cameras, which land cover features were classified using NDVI calculated from data obtained by multispectral cameras in the same study area. This classified point cloud was used for training and validating a deep learning model, which was applied for classifying cloud point datasets in three sites. It was found that there is a high accuracy when identifying “Ground” and “High vegetation” in the point cloud datasets with only RGB. However, there is a low degree of accuracy for identifying other classes, such as low vegetation. This can be attributed to the fact that shrubs and grasslands (3 Low vegetation, and 4 middle vegetations) are very scarce in the study area, so a higher emphasis on its identification is required.
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Comparison of Crop Surface Models and 3D Point Clouds by UAV Imagery on Estimating Plant Height and Biomass Volume of Pasture Grass Reviewed International journal
Ke Zhang, Ayako Sekiyama, Hiromu Okazawa, Yuri Yamazaki, Kiichiro Hayashi, Osamu Tsuji and Masahiro Akimoto
International Journal of Environmental and Rural Development 13 ( 2 ) 136 - 143 2022.12
Language：English Publisher：International Society of Environmental and Rural Development
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Assessment of Three Automated Identification Methods for Ground Object Based on UAV Imagery Reviewed International coauthorship International journal
Ke Zhang, Sarvesh Maskey, Hiromu Okazawa, Kiichiro Hayashi, Tamano Hayashi, Ayako Sekiyama, Sawahiko Shimada and Lameck Fiwa
Sustainability 14 ( 21 ) 2022.11
Language：English Publishing type：Research paper (scientific journal)
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Evaluation of Geographical Characteristics of Farmlands Location in Djibouti using GIS Reviewed
Ayako Sekiyama, Towa Goto, Takumi Sato,Sawahiko Shimada
Proseedings of 18th Int. Conference SEE2022 Structure, Engeineering and Environment 2022.11
Language：English Publishing type：Research paper (international conference proceedings) Publisher：The GEOMATE International Society
Books and Other Publications 【 display / non-display 】
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生物科学系・農学系のための情報処理2022
東京農業大学情報教育センター（ Role： Joint author）
東京農業大学情報教育センター 2022.03
Language：Japanese Book type：Textbook, survey, introduction
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沙漠学事典
日本沙漠学会（ Role： Contributor）
丸善株式会社 2020.07
Language：Japanese Book type：Scholarly book
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はかる つくる えがく・そだてる みどりの地域を育む～地域環境科学がわかる本
東京農業大学地域環境科学部教員一同（ Role： Joint author）
東京農業大学出版会 2015.07 （ ISBN:4-88694-450-4 ）
Language：Japanese Book type：Scholarly book
Misc 【 display / non-display 】
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Tea Plantation Monitoring using UAV in Shizuoka, Japan Reviewed
SHIMADA S, SATO K, SEKIYAMA A and FUJIKAWA T
Esri Map Book 33 2018.07
Language：English Publishing type：Internal/External technical report, pre-print, etc.
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茶葉分光反射特性把握を目指したドローン付属カメラのフィルタリング検討
荻野高嶺・佐藤聖久・島田沢彦・関山絢子・豊田裕道
JACEM ( 一般社団法人 農業土木機械化協会 ) 62 27 - 32 2016.05
Language：English Publishing type：Article, review, commentary, editorial, etc. (bulletin of university, research institution)
Scientific Research Funds Acquisition Results 【 display / non-display 】
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リモートセンシングデータを用いたモンゴル草地における 草地劣化分布の把握
2012.04 - 2014.03
科学研究費補助金 若手研究(B)
Authorship：Principal investigator
Past of Commissioned Research 【 display / non-display 】
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空間情報利活用の海外先進事例等の調査
2019.08 - 2021.03
株式会社パスコ 一般受託研究 The General Consignment Study
関山絢子
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衛星測位データを利用した首都圏の地震予測に関する研究
2017.04 - 2020.03
（株）地震科学探査機構 一般受託研究 The General Consignment Study
國井洋一
Authorship：Principal investigator
Presentations 【 display / non-display 】
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Applicability of Farmlands Detection in Djibouti from Satellite Imagery using Deep Learning International conference
Ayako SEKIYAMA, Takumi SATO, Syuhei SAITO, Sawahiko SHIMADA
DT14 International Conference on Arid Land 2021.09
Event date： 2021.09
Language：English Presentation type：Oral presentation (general)
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Applicability of Estimation Method for Soil Moisture in Mongolian Grasslands using a Pattern Decomposition Method International conference
Ayako Sekiyama, Sawahiko Shimada, Michinari Yokohama and Hiromichi Toyoda
The 6th International Conference on Environmental and Rural Development 2015.03
Event date： 2015.03
Language：English Presentation type：Oral presentation (general)
Venue：フィリピン
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MONITORING OF GRASSLAND DEGRADATION USING REMOTE SENSING DATA IN MONGOLIA International conference
Ayako Sekiyama, Wataru Takeuchi, Sawahiko Shimada
The 11th Desert Technology 2013.11
Event date： 2013.11
Language：English Presentation type：Oral presentation (general)
Committee Memberships 【 display / non-display 】
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日本写真測量学会 論文抄録委員会
2013.06 - 2020.08
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日本写真測量学会 講演会実行委員会
2022.05
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日本リモートセンシング学会 学術委員会
2014.06