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Practical mapping methods of seagrass beds by satellite remote sensing and ground truthing
https://doi.org/10.15083/00079480
https://doi.org/10.15083/000794803c231f3f-3ddb-48b8-978c-b54f10b5db8f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
CMS430101.pdf (16.7 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-08-31 | |||||
| タイトル | ||||||
| タイトル | Practical mapping methods of seagrass beds by satellite remote sensing and ground truthing | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | coastal habitat mapping | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | satellite remote sensing | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | ground truthing | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | seagrass | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | bottom reflectance index | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | depth invariant index | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | GNSS | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Michibiki | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | departmental bulletin paper | |||||
| ID登録 | ||||||
| ID登録 | 10.15083/00079480 | |||||
| ID登録タイプ | JaLC | |||||
| 著者 |
Komatsu, Teruhisa
× Komatsu, Teruhisa× Hashim, Mazlan× Nurdin, Nurjannah× Noiraksar, Thidarat× Prathep, Anchana× Stankovic, Milica× Tong, Phuoc Hoang Son× Pham, Minh Thu× Cao, Van Luong× Sam, Wouthyzen× Phauk, Sophany× Muslim, Aidy M.× Yahya, Nurul Nadiah× Terauchi, Genki× Sagawa, Tatsuyuki× Hayashizaki, Ken-ichi |
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| 著者所属 | ||||||
| 著者所属 | Atmosphere and Ocean Research Institute, the University of Tokyo | |||||
| 著者所属 | ||||||
| 著者所属 | Japan Fisheries Resource Conservation Association | |||||
| 著者所属 | ||||||
| 著者所属 | Research Institute for Sustainable Environment, University of Technology Malaysia | |||||
| 著者所属 | ||||||
| 著者所属 | Marine Science Department, Hasanuddin University | |||||
| 著者所属 | ||||||
| 著者所属 | Institute of Marine Science, Burapha University | |||||
| 著者所属 | ||||||
| 著者所属 | Faculty of Science, Prince of Songkla University | |||||
| 著者所属 | ||||||
| 著者所属 | Institute of Oceanography, Vietnam Academy of Science and Technology | |||||
| 著者所属 | ||||||
| 著者所属 | Institute of Marine Environment and Resources, Vietnam Academy of Science and Technology | |||||
| 著者所属 | ||||||
| 著者所属 | Research Center for Oceanography, Indonesian Institute of Sciences (LIPI) | |||||
| 著者所属 | ||||||
| 著者所属 | Faculty of Science, Royal University of Phnom Penh | |||||
| 著者所属 | ||||||
| 著者所属 | Institute of Oceanography (INOS), Universiti Malaysia Terengganu | |||||
| 著者所属 | ||||||
| 著者所属 | Geoscience and Digital Earth Centre (INSTeG), Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia | |||||
| 著者所属 | ||||||
| 著者所属 | Northwest Pacific Action Plan (NOWPAP), Special Monitoring and Coastal Environmental Assessment Regional Activity Centre | |||||
| 著者所属 | ||||||
| 著者所属 | Remote Sensing Technology Center of Japan | |||||
| 著者所属 | ||||||
| 著者所属 | School of Marine Biosciences, Kitasato University | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This review introduces practical mapping methods of seagrass beds by satellite remote sensing with ground-truthing surveys. It briefly explains optics for understanding how to map the seagrass beds under the sea. Ground truth data are necessarily used in classifying bottom habitats and evaluating classification accuracies. Ground-truthing surveys are classified into direct methods such as video observation and manta tow with a camera, and indirect methods such as echosounder and sidescan sonar. Seagrass remote sensing begins with relating habitats from ground truth data to pixel values of a satellite image. Since satellite images with high spatial resolution require high precision of positions of ground truth data, ground surveyors need to use GNSSs with sub-meter precision. Image processing procedures are composed of geometric correction, conversion of digital number of an image pixel to radiance or reflectance, atmospheric and water column corrections, image classification, and validation of classification results (accuracy assessment), which are simply explained. It is recommended to use Depth invariant index of Lyzenga (1981) or Bottom Reflectance index of Sagawa et al. (2010) for compensating attenuation of light through atmosphere and water column to obtain better seagrass habitat classification results. | |||||
| 書誌情報 |
Coastal marine science 巻 43, 号 1, p. 1-25, 発行日 2020 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 13493000 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA11957899 | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| 出版者 | ||||||
| 出版者 | International Coastal Research Center, Atmosphere and Ocean Research Institute, the University of Tokyo | |||||
| 出版者別名 | ||||||
| 東京大学大気海洋研究所国際沿岸海洋研究センター | ||||||
