Updated on 2024/10/31

写真a

SAWAHIKO Shimada

Professor

Title

Professor

Laboratory Address

東京都世田谷区桜丘1-1-1

Contact information

Contact information

Homepage

http://www.nodai.ac.jp/eng/original/l-info/shimada/index-j.html

External Link

Degree 【 display / non-display

  • 博士(地球環境科学) ( 2001.09   北海道大学 )

Employment Record in Research 【 display / non-display

  • Tokyo University of Agriculture   Faculty of Regional Environment Science   Department of Bioproduction and Environment Engineering

    2001.04 - 2002.03

  • Tokyo University of Agriculture   Faculty of Regional Environment Science   Department of Bioproduction and Environment Engineering   Research Assistant

    2002.04 - 2004.03

  • Tokyo University of Agriculture   Faculty of Regional Environment Science   Department of Bioproduction and Environment Engineering   Lecturer

    2004.04 - 2006.09

  • 東京農業大学   大学院   授業担当

    2005.04

  • 東京農業大学   大学院   授業担当

    2006.04

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Professional Memberships 【 display / non-display

  • Japan Peatlang Society

    2013.10

  • Center for Environmental Information Science

    2010.09

Research Areas 【 display / non-display

  • Environmental Science/Agriculture Science / Environmental dynamic analysis

Papers 【 display / non-display

  • Nomadic responses to rainfall: Nighttime light evidence from wadis in Djibouti Reviewed International coauthorship International journal

    Bouh Omar Ali, Yutaka Ito, Shuichi Oyama, Sawahiko Shimada & Yuki Yamamoto

    Scientific African   25   e02337   2024.09

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier B.V.  

    This study examined how precipitation affects human activity in dry areas, focusing on Djibouti's nomads. Using satellite data, researchers found increased nighttime light brightness near wadis after rainfall, indicating higher nomadic activity. This effect decreased with distance from wadis and was absent in urban areas. The findings highlight water's crucial role in nomadic settlements and resource management, providing valuable insights for policymakers in African countries.

    DOI: https://doi.org/10.1016/j.sciaf.2024.e02337

  • Comprehensive Analysis of Land Use and Cover Dynamics in Djibouti Using Machine Learning Technique: A Multi-Temporal Assessment from 1990 to 2023 Reviewed International coauthorship International journal

    Pandit S, Shimada S & Dube T

    Environmental Challenges   15   100920   2024.04

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier  

    The study focuses on analyzing land use changes in Djibouti from 1990 to 2023 using remote sensing and machine learning techniques. We identified seven major land cover classes shows declines in mangroves and farmland, and highlights expansions in built-up areas, water bodies, and barren lands over time.

    DOI: doi.org/10.1016/j.envc.2024.100920

  • High‑resolution mapping of seasonal snow cover extent in the Pamir Hindu Kush using machine learning‑based integration of multi‑sensor data International journal

    Abdul Basir Mahmoodzada, Pragyan Das, Divyesh Varade, Mohd Arslaan Akhtar, Sawahiko Shimada

    Acta Geophysica   71 ( 6 )   2024.01

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Link  

    This study proposes a framework to develop high-resolution snow cover area (SCA) products using freely available Sentinel-1 and MODIS data. Various Sentinel-1 parameters sensitive to snow are integrated with resampled MODIS normalized difference snow index (NDSI) data to estimate an equivalent NDSI for determining 15m resolution SCA. Equivalent NDSI is derived using machine learning regression with support vector machines (SVMs) and multilayer perceptron (MLP). Experiments were performed for northern Hindu Kush mountain regions in February and March 2019. SCA evaluation used thresholded NDSI from Landsat-8. SVM regression showed better SCA performance over MLP. Both SVM and MLP improved snow classification accuracy over resampled MODIS NDSI alone, with higher mean conditional kappa coefficients.

    DOI: https://doi.org/10.1007/s11600-023-01281-4

  • Quantification of Amu River Riverbank Erosion in Balkh Province of Afghanistan during 2004–2020 Reviewed International journal

    Abdul Basir Mahmoodzada, Divyesh Varade, Sawahiko Shimada, Hiromu Okazawa, Shafiqullah Aryan, Gulbuddin Gulab, Abd El-Zaher M. A. Mustafa, Humaira Rizwana, Yogesh K. Ahlawat and Hosam O. Elansary

    land   12 ( 10 )   1890   2023.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:MDPI  

    This study quantifies riverbank erosion along the Amu River in Afghanistan's Kaldar District from 2004-2020 using modeled river discharge data. A framework integrating multi-source data models erosion area based on: river discharge, river width, and erosion area. Discharge was modeled using ECMWF and ground data. River width was manually determined from Landsat imagery. Erosion area was calculated through shoreline analysis. From 2008-2020, average annual erosion was 5.4 km2, totaling 86.3 km2 during 2004-2020 due to flooding. Peak erosion occurred in 2008-2009, 2011-2012 and 2015-2016. Erosion area correlated linearly with discharge intensity and stream power (R2=0.84).

    DOI: https://doi.org/10.3390/land12101890

    DOI: https://doi.org/10.3390/land12101890

  • FRACTURE-FAULT DETECTION USING DEEP LEARNING WITH STEPWISE ELIMINATION FROM SATELLITE IMAGES IN DJIBOUTI Reviewed International coauthorship International journal

    Rubanga DP, May-Cuevas SA, Arvelyna Y & Shimada S

    International Journal of GEOMATE   25 ( 108 )   241 - 248   2023.08

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    This study focuses on accurately detecting fracture-fault structures in Djibouti using WV-3 high resolution imagery. A deep learning approach using a deep convolutional neural network (Deep-CNN) model is proposed. The model successfully identifies fracture-fault lines, contributing to sustainable water management and improving water security in Djibouti.

    DOI: https://doi.org/10.21660/2023.108.s8569

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Books and Other Publications 【 display / non-display

  • 沙漠学事典

    島田沢彦( Role: Contributor ,  2章「リモートセンシング」)

    丸善出版  2020.07  ( ISBN:978-4-621-30517-1

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    Total pages:534   Language:Japanese   Book type:Dictionary, encyclopedia

  • 湿地の科学と暮らし-北のウェットランド大全

    矢部・山田・牛山監修( Role: Joint author)

    北海道大学出版会  2017.04 

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    Language:Japanese   Book type:Scholarly book

  • Tropical Peatland Ecosystems

    Osaki M and Tsuji N (Eds.)( Role: Joint author ,  解析・執筆)

    Springer  2016.01  ( ISBN:978-4-431-55680-0

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    Language:English   Book type:Scholarly book

    以下3章を担当:
    Chapter 8. Takada M, Shimada S and Takahashi H "Tropical Peat Formation" (pp. 127-135),
    Chapter 23. Shimada S, Takahashi H and Osaki M "Carbon Stock Estimate" (pp. 353-364),
    Chapter 31. Shimada S, Takada M and Takahashi H "Peat Mapping" (pp. 455-467)

  • はかる つくる えがく・そだてる―みどりの地域を育む 地域環境科学が分かる本

    東京農業大学地域環境科学部教員一同( Role: Joint author ,  編集および執筆)

    東京農業大学出版会  2015.07  ( ISBN:978-4-88694-450-4

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    Language:Japanese   Book type:General book, introductory book for general audience

    中高生をターゲットにした地域環境科学の研究内容について解説した啓蒙書である.編集委員として編集を担当するとともに,pp. 33「地球規模の環境保全のために インドネシアの熱帯林をウォッチ」の執筆を担当.

  • 生物科学系・農学系のための情報処理2015

    東京農業大学コンピュータセンター( Role: Joint author ,  編集および執筆)

    三共出版  2015.03 

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    Language:Japanese   Book type:Textbook, survey, introduction

    東京農業大学授業「情報基礎(一)」「情報基礎(二)」のテキストの2015年度版である.編集委員長として編集の他,Ⅱ-6章「データベースの基本操作」の単著およびⅡ-7章「地理情報システム(GIS)の基本操作―ArcGIS 10.2―」の共著執筆担当.

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Misc 【 display / non-display

  • Tea Plantation Monitoring using UAV in Shizuoka, Japan Reviewed

    SHIMADA S, SATO K, SEKIYAMA A and FUJIKAWA T

    Esri Map Book   33   2018.07

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    Authorship:Lead author   Language:English   Publishing type:Internal/External technical report, pre-print, etc.  

  • 作物生育状態をドローンでモニタリング把握~精密農業への大きな技術革新~ Invited

    島田沢彦

    測量   2016.11   6 - 11   2016.11

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    Authorship:Lead author   Language:Japanese   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

  • 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   62   27 - 32   2016.05

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (bulletin of university, research institution)   Publisher:一般社団法人 農業土木機械化協会  

    静岡県菊川市における茶園のドローン撮影画像をクラスター分類により二番茶の生育状態の把握を試みた報文である.

  • 研究室紹介「東京農業大学・地域環境科学部・生産環境工学科 広域環境情報学研究室」

    島田沢彦

    日本リモートセンシング学会誌   34 ( 1 )   36 - 37   2014.01

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (international conference proceedings)   Publisher:日本リモートセンシング学会  

    東京農業大学の広域環境情報学研究室の教育・研究内容について解説した紹介文。

  • インドネシア・中央カリマンタンにおける衛星画像を用いた熱帯泥炭地モニタリング

    石橋憲・島田沢彦

    農業電化   62 ( 8 )   5 - 9   2009.08

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (other)  

    頻発するインドネシア・カリマンタン泥炭湿地林火災予知を視野に入れ、時系列衛星画像データ(MODIS)の植生指数(NDVI)の変動から地下水の変動の予測可能性を示唆した。

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Other External Funds 【 display / non-display

  • Advanced and Sustainable Methods on Water Utilization Associated with Greening Potential Evaluation

    2018.06 - 2023.03

    JST (Japan Science and Technology Agency) - JICA (Japan International Cooperation Agency) 

    Sawahiko SHIMADA

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    Authorship:Principal investigator  Grant type:Competitive

Past of Commissioned Research 【 display / non-display

  • Disease Detection of Bananas in the Philippines Using Leaf Surface Reflectance

    2016.12

    E-Supportlink, Ltd.  The General Consignment Study  The General Consignment Study

    Sawahiko SHIMADA

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    Authorship:Principal investigator 

Presentations 【 display / non-display

  • Evaluation of impact of earthquake on agriculture in Nepal based on remote sensing International conference

    Sekiyama A, Luo K.T, Sarvesh M, Shimada S, Okazawa H, Miwa K and Mihara M

    The 7th International Scientific Agriculture Symposium (Agrosym 2016)  2016.10 

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    Event date: 2016.10

    Language:English   Presentation type:Oral presentation (general)  

    Venue:ボスニアヘルツェゴビナ  

    “Agrosym 2016” Best Poster Presentation Award受賞

  • The environmental impact of mountaineering in the Mt.Everest region International conference

    The 8th Conference on Monitoring and Management of Visitors in Recreation and Protected Areas (MMV8)  2016.09 

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    Event date: 2016.09

    Language:English   Presentation type:Poster presentation  

  • Environmental monitoring of tropical peatland and semiarid grassland using remote sensing

    2013.11 

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    Event date: 2013.11

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  • 反射BRDF特性を用いたモンゴル草地における植生環境の把握

    星野慎司・島田沢彦・豊田裕道・関山絢子

    計測自動制御学会計測部門・第20回リモートセンシングフォーラム  2013.03  計測自動制御学会計測部門・リモートセンシング部会

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    Event date: 2013.03

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:首都大学東京・秋葉原サテライトキャンパス  

    BRDF計測機器装着スペクトルメータを用い収集したモンゴル草地の反射BRDF特性に関して解析した.

  • インドネシア・中央カリマンタンにおける多時期衛星画像データを用いた 熱帯泥炭湿地林の地下水位モニタリング

    高見茜・島田沢彦・豊田裕道・高橋英紀・平野高司

    計測自動制御学会計測部門・第20回リモートセンシングフォーラム  2013.03  計測自動制御学会計測部門・リモートセンシング部会

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    Event date: 2013.03

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:首都大学東京・秋葉原サテライトキャンパス  

    インドネシア・中央カリマンタンにおいて,植物季節性(フェノロジー)をMODIS-NDVIを用いて解析した.

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Committee Memberships 【 display / non-display

  •   Board member  

    2017   

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    Committee type:Academic society

  • 日本農業農村工学会   農業農村地理情報システム技士運営委員会  

    2016.04   

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    Committee type:Academic society

  • 日本農業農村工学会   編集委員  

    2015.02 - 2016.09   

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    Committee type:Academic society

  • 日本沙漠学会   総務委員(Webmaster)  

    2014.06   

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    Committee type:Academic society

  • 日本泥炭地学会   役員(交流委員)  

    2013.10   

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    Committee type:Academic society

Basic stance of industry-university cooperation 【 display / non-display

  • 環境評価の手法技術開発を行っている。産・官・NGOとの連携による環境コンサルティングに関しては、積極的である。

Attractiveness of Research 【 display / non-display

  • 興味を持った事柄を徹底的に調べてみよう。調べた情報を自分の頭で組み立て直す事が重要。