JAMSTEC

A new research program “Mathematical Seafloor Geomorphology” has been launched to establish a method to create a high resolution seafloor topography from the existing low resolution data by super-resolution using machine learning technology, and to merge the bottom topography pattern by feature extraction estimated for disaster prevention, environment, organisms, resources etc., aiming to perform quantitative evaluation and analysis, and to investigate the relationship between each field and bottom topography.  Contribution to The Nippon Foundation – GEBCO Seabed 2030 Project is expected and will be performed under the program.

Research Scheme

Scheme I

Creation of high resolution and high accuracy seafloor topography map by super resolution using machine learning method such as deep learning and Bayesian inference

Scheme II

Extraction of image feature quantity using machine learning

Scheme III

Collation of the image features with the data for each field to detect the underlying phenomenon that forms the seafloor topography

Special Scheme

Contribution to The Nippon Foundation-GEBCO Seabed 2030 Project

Brochure


Mathematical Seafloor Geomorphology(PDF:4.79MB)

Members

Leader:
Dr. Eiichi Kikawa (Data Science Research Group, Center for Earth Information Science and Technology (CEIST), Research Institute for Value-Added-Information Generation (VAiG))
Research Staff:
Dr. Takefumi Kasaya (Submarine Resources Research Center (SRRC), Research Institute for Marine Resources Utilization (MRU))
Dr. Tatsu Kuwatani (Solid Earth Data Science Research Group, Volcanoes and Earth’s Interior Research Center (VERC), Research Institute for Marine Geodynamics (IMG))
Dr. Daisuke Matsuoka (Data Science Research Group, Center for Earth Information Science and Technology (CEIST), Research Institute for Value-Added-Information Generation (VAiG))
Dr. Mitsuko Hidaka (Data Science Research Group, Center for Earth Information Science and Technology (CEIST), Research Institute for Value-Added-Information Generation (VAiG))
Mr. Koshiro Murakami (Data Science Research Group, Center for Earth Information Science and Technology (CEIST), Research Institute for Value-Added-Information Generation (VAiG))
Mr. Toshiaki Ueki, Mr. Satoshi Okawara, Dr. Oak Yono[Until February 2024] (Ocean High Technology Institute, Inc.)
Technical Staff:
Dr. Yukari Kido (Ocean STEAM Project Section, Marine Science and Technology Strategy Department(MaSTS))
Mr. Junji Kaneko ( Physical Property and Exploration Geophysics Research and Development Group, Submarine Resources Research Center(SRRC), Research Institute for Marine Resources Utilization (MRU))

Topics

2024/11/14
Open Symposium of the Science Council of Japan Submarine Geohazards and Offshore Wind Development
2024/11/06
Conference to promote cooperation and collaboration with the Coast Guard
2024/07/11
Conference to promote cooperation and collaboration with the Hydrographic and Oceanographic Department, Japan Coast Guard Coast Guard
2024/06
GEBCO_2024 Grid has been released.
2024/05/10
Our project efforts was reported at the AGU Fall Meeting 2023 (AGU23) held on 11-15 December, 2023.
2023/07/19
2023/11/07~11/08 Map the Gaps has been held.
2023/07/19
(Seabed2030) The South and West Pacific Regional Mapping Community Meeting has been held on 12-14 July.
2023/06
GEBCO_2023 Grid has been released.
2023/05/02
HSH Prince Albert II of Monaco Announces a quarter of the ocean now mapped
2022/10/18
(Seabed2030) 2022/10/26 ~ 10/28 GEBCO Week has been held online.
2022/10/18
(Seabed2030) 2023/01/10 ~ 12 CSBWG13 has been held online.
2022/06/28
Dr. Mitsuko Hidaka and co-authors received a paper award from Japan Society of Geoinformatics.(Written in Japanese)
2022/05/27
(Seabed2030) Joint research has been signed with the Japan Coast Guard Hydrographic and Oceanographic Department.
2022/05/19
The paper of “Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding” was published in Sensors.
2022/05/19
(Seabed2030) The South and West Pacific Regional Mapping Community Meeting has been held on 7/5-7/7.
2022/03/23
(Seabed2030) 2022/03/07 ~ 10 CSBWG12 has been held online.
2022/03/23
(Seabed2030) 2021/11/30 ~ 12/02 GEBCO Week has been held online.
2021/07/16
(Seabed2030) The South and West Pacific Regional Mapping Community Meeting has been held online on 21-23 July.
2021/03/26
(Seabed2030) 2021/09/14 ~ 16 CSBWG11 has been held online.
2021/03/26
(Seabed2030) 2021/03/30 ~ 04/01 CSBWG10 has been held online.
2021/03/26
2020/01/21 The progress of our project was reported at the 2021 NOAA-JAMSTEC Bilateral Joint Executive Meeting (online) held on 19-21 January, 2021.
2021/03/26
(Seabed2030) 2021/01/11 ~ 15 GEBCO Week has been held online.
2020/07/15
(Seabed2030) The DARWIN bathymetric survey wake map is now available on the NOAA/IHO/DCDB website.
2020/06/29
(Seabed2030) CSBWG9 has been held online.
2020/06/23
(Seabed2030) The South West Pacific Regional Mapping Conference was held online on 23-24 June, hosted by NIWA.

Research Results

2024
  • 桑谷 立. データ科学時代の海洋地球データプロセッシング―辞書学習による海底地形図の超解像ー 水路(日本水路協会機関誌) 209号 12-17 (2024) https://jha.or.jp/jp/shop/products/suiro/index.html
  • Noriko Tada, Akira Nagano, Satoru Tanaka, Hiroshi Ichihara, Daisuke Suetsugu, Daisuke Matsuoka, Makoto Ito, Tatsu Kuwatani, Makio C.Honda, Challenge for multifaceted data acquisition around active volcanoes using uncrewed surface vessel. Frontiers in Marine Science 11 2024年6月26日 https://doi.org/10.3389/fmars.2024.1406381
2023
  • Yono O, Kuwatani T, Ueki T, Kikawa E., Removal of MBES Point Cloud Data Using Sparse Coding, Proceedings WR-17 & AIG-14, Sendai, Japan, Aug. 18-22
2022
  • Taku Yutani, Oak Yono, Tatsu Kuwatani, Daisuke Matsuoka, Junji Kaneko, Mitsuko Hidaka, Takafumi Kasaya, Yukari Kido, Yoichi Ishikawa, Toshiaki Ueki, Eiichi Kikawa, Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding. Sensors 2022, 22(9), 3198; https://doi.org/10.3390/s22093198
2021
2020
  • Mitsuko Hidaka, Daisuke Matsuoka, Tatsu Kuwatani, Yukari Kido, Junji Kaneko, Takafumi Kasaya, Eiichi Kikawa, and Yoichi Ishikawa, Deep convolutional neural network approaches for the super-resolution of bathymetric maps, AGU Fall Meeting 2020: Virtual, December 1-17 2020
  • Mitsuko Hidaka, Daisuke Matsuoka, Tatsu Kuwatani, Yukari Kido, Junji Kaneko, Takafumi Kasaya, Eiichi Kikawa. Super-resolution for seafloor topography using deep convolutional neural networks. JpGU - AGU Joint Meeting 2020: Virtual. 12-16 July 2020. (Poster)
  • Tatsu Kuwatani, Geoinformatics Researches in the Research Institute for Marine Geodynamics of the JAMSTEC. Geoinformatics, 2020, 31, 2, p. 53-55, doi: 10.6010/geoinformatics.31.2_53
-2019
  • Tatsu Kuwatani, Earth materials science in a data-driven paradigm. Elements, 2019, 15, 4, p. 280-281, doi: 10.2138/gselements.15.4.280
  • 桑谷 立. 地球科学プロセス解明のためのデータ駆動型解析 ― 地質学分野における応用例―. 情報地質, 2018, 29, 2, p. 49-60, doi: 10.6010/geoinformatics.29.2_49

JAMSTEC Data Contribution

Bathymetry data acquired by the JAMSTEC are provided to four regional centres, which contribute to the annual production of GEBCO grid data.

Location of The Nippon Foundation-GEBCO Seabed 2030 Project Global and Regional Centers, Data provided by a courtesy of Ms. Pauline Weatherall, National Oceanography Centre.

FY Recipient of offer Number of cruises Covered area
2019 NIWA, LDEO, IHO MBES cruises Pacific / Indian Ocean
2020 NIWA, LDEO, IHO

After moratorium data
1.1GB(Compressed data)
Pacific / Indian Ocean

2021 NIWA, LDEO, IHO

MBES 82 cruises
MBES 3 cruises
Pacific / Indian Ocean

2022 NIWA
Univ. NH
IHO
1.3GB (Compressed data)
MBES 64 cruises
After moratorium data
Pacific Ocean
North Pacific Region

2023 France HO
NIWA
IHO
LDEO
MBES 2 cruises
MBES 38 cruises
Track chart of all vessels
After moratorium
Sumatra area
Pacific Ocean

Atlantic Ocea