Sun. May 26, 2019 12:00 AM - 12:00 AM

[MGI37-P15] Performance evaluation of inter-node MPI parallel TensorFlow for massive learning data

*Keiichiro Fukazawa¹ (1.Academic Center for Computing and Media Studies, Kyoto University)

[M-GI37] Earth and planetary informatics with huge data management

[J] Poster
｜M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

Sun. May 26, 2019 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Ken T. Murata(National Institute of Information and Communications Technology), Rie Honda(Department of Science and Technology, System of Natual Science, Kochi University), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University)

Mon. May 27, 2019 11:15 AM - 11:30 AM

[MGI33-02] Sparse modeling based feature selection of magmatic tectonic settings

*Kenta Ueki¹, Hideitsu Hino², Tatsu Kuwatani^1,3 (1.Japan Agency for Marine-Earth Science and Technology, 2.The Institute of Statistical Mathematics, 3.Japan Science and Technology Agency)

[M-GI33] Data-driven geosciences

[J] Oral
｜M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

Mon. May 27, 2019 10:45 AM - 12:15 PM A08 (TOKYO BAY MAKUHARI HALL)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Masayuki Kano(Graduate school of science, Tohoku University), Chairperson:Kenta Ueki, Masayuki Kano(東北大学大学院理学研究科地球物理学専攻)

Thu. May 30, 2019 1:50 PM - 2:05 PM

[MAG38-01] 15-years of LSA-SAF/Eumetsat satellite-derived albedo products: method for retrieval validation, and recent advances using neural networks during spectral integration

*Florian Pinault¹, Dominique Carrer¹, Xavier Ceamanos¹, Gabriel Lellouch¹, Catherine Meurey¹, Suman Moparthy¹, Chloé Vincent¹, Sandra Coelho², Isabel Trigo² (1.Météo France, CNRM-GAME, UMR3589, Toulouse, France, 2.IPMA, Lisbon, Portugal)

[M-AG38] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[E] Oral
｜M (Multidisciplinary and Interdisciplinary)
| M-AG Applied Geosciences

Thu. May 30, 2019 1:45 PM - 3:15 PM 302 (3F)

convener:Jean-Claude Roger(University of Maryland College Park), Shinichi Sobue(Japan Aerospace Exploration Agency), Eric Vermote(NASA Goddard Space Flight Center), Chairperson:Jean-Claude Roger, Eric Vermote

Thu. May 30, 2019 2:50 PM - 3:05 PM

[MAG38-05] Quantity and spatial distribution of aboveground biomass carbon in Colombia’s forest

*Pedro Rodriguez-Veiga^1,2, Adriana Paola Barbosa-Herrera³, Edersson Cabrera³, Gustavo Galindo³, Valentin Louis¹, Pilar Lozano³, Pacheco-Pascagaza Ana Maria¹, Indira Pachon-Cendales³, Salinas Nelso Ricardo³, Heiko Balzter^1,2 (1.Centre for Landscape and Climate Research, University of Leicester, Leicester, UK, 2.NERC National Centre for Earth Observation (NCEO), Leicester, UK, 3.Institute of Hydrology, Meteorology and Environmental Studies (IDEAM), Bogota, Colombia)

[M-AG38] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[E] Oral
｜M (Multidisciplinary and Interdisciplinary)
| M-AG Applied Geosciences

Thu. May 30, 2019 1:45 PM - 3:15 PM 302 (3F)

convener:Jean-Claude Roger(University of Maryland College Park), Shinichi Sobue(Japan Aerospace Exploration Agency), Eric Vermote(NASA Goddard Space Flight Center), Chairperson:Jean-Claude Roger, Eric Vermote

Thu. May 30, 2019 2:30 PM - 2:45 PM

[MAG39-04] Detection of multiple earthquakes by using theoretical seismograms as training dataset of machine learning

*Seiji Tsuboi¹, DAISUKE SUGIYAMA¹ (1.JAMSTEC, Center for Earth Information Science and Technology)

[M-AG39] Marine-Earth Informatics

[J] Oral
｜M (Multidisciplinary and Interdisciplinary)
| M-AG Applied Geosciences

Thu. May 30, 2019 1:45 PM - 3:15 PM A10 (TOKYO BAY MAKUHARI HALL)

convener:Seiji Tsuboi(JAMSTEC, Center for Earth Information Science and Technology), Keiko Takahashi(Japan Agency for Marine and Earth Science and Technology), Masaki Kanao(National Institute of Polar Research), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Chairperson:Daisuke Matsuoka, Seiji Tsuboi

Wed. May 29, 2019 12:00 AM - 12:00 AM

[PEM13-P06] Automatic determination of Upper Hybrid Resonance Frequencies by Convolutional Neural Network.

*Shoya Matsuda¹, Tatsuhito Hasegawa², Atsushi Kumamoto³, Fuminori Tsuchiya³, Yoshiya Kasahara⁴, Yoshizumi Miyoshi⁵, Yasumasa Kasaba³, Ayako Matsuoka¹ (1.Institute of Space and Astronautical Science/Japan Aerospace Exploration Agency, 2.University of Fukui, 3.Tohoku University, 4.Kanazawa University, 5.ISEE, Nagoya University)

[P-EM13] Inner magnetosphere: Recent understanding and new insights

[E] Poster
｜P (Space and Planetary Sciences )
| P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

Wed. May 29, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Danny Summers(Memorial University of Newfoundland), Yoshizumi Miyoshi(Institute for Space-Earth Environmental Research, Nagoya University), Shinji Saito(Graduate School of Science, Nagoya University)

Thu. May 30, 2019 12:00 AM - 12:00 AM

[PEM16-P11] Detection of spread-F echoes in ionograms using machine learning

*Hiroyuki Nakata¹, Yuta Goto², Hiroyo Ohya¹, Toshiaki Takano¹ (1.Graduate School of Engineering, Chiba University, 2.Department of Electrical and Electronics Engineering)

[P-EM16] Physics and Chemistry in the Atmosphere and Ionosphere

[J] Poster
｜P (Space and Planetary Sciences )
| P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

Thu. May 30, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yuichi Otsuka(Institute for Space-Earth Environmental Research, Nagoya University), Takuya Tsugawa(National Institute of Information and Communications Technology), Seiji Kawamura(National Institute of Information and Communications Technology)

Tue. May 28, 2019 12:00 AM - 12:00 AM

[ACG39-P06] Estimation of terrestrial carbon cycle in Asia using a machine learning and satellite data

*Riku Kawase¹, Kazuhito Ichii², Yusuke hayashi¹, Zhiyan Liu¹, Masahito Ueyama³, Yuji Kominami⁴ (1.Chiba University, 2.Center for Environmental Remote Sensing, Chiba University, 3.Osaka Prefecture University, 4.Forest Research and Management Organization )

[A-CG39] Biogeochemical cycles in Land Ecosystem

[J] Poster
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Tue. May 28, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Tomomichi Kato(Research Faculty of Agriculture, Hokkaido University), Kazuhito Ichii(Chiba University), Takeshi Ise(FSERC, Kyoto University), Munemasa Teramoto(National Institute for Environmental Studies)

Thu. May 30, 2019 12:00 AM - 12:00 AM

[ACG36-P02] Using machine learning models to predict the benefits of solar power generation in northern Taiwan

*SHIH-CHIAO TSAI¹, KUO-CHIH HUANG¹, DUN-REN GUO¹ (1.National Defense Univ.)

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[J] Poster
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Ken-ichi Fukui(Osaka University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Satoshi Ono(Kagoshima University)

Thu. May 30, 2019 12:00 AM - 12:00 AM

[ACG36-P05] Application of deep learning techniques to precipitation guidance in short-term weather predictions

*TAKERU KURAKAMI¹, Kazuyoshi Souma¹, Takashi Miyamoto¹, Takahiko Huruya¹, Jun Magome¹, Hiroshi Ishidaira¹ (1.University of Yamanashi)

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[J] Poster
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Ken-ichi Fukui(Osaka University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Satoshi Ono(Kagoshima University)

Presentations by Keyword

Keywords : Machine learning

[MGI37-P15] Performance evaluation of inter-node MPI parallel TensorFlow for massive learning data

[M-GI37] Earth and planetary informatics with huge data management

[MGI33-02] Sparse modeling based feature selection of magmatic tectonic settings

[M-GI33] Data-driven geosciences

[MAG38-01] 15-years of LSA-SAF/Eumetsat satellite-derived albedo products: method for retrieval validation, and recent advances using neural networks during spectral integration

[M-AG38] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[MAG38-05] Quantity and spatial distribution of aboveground biomass carbon in Colombia’s forest

[M-AG38] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[MAG39-04] Detection of multiple earthquakes by using theoretical seismograms as training dataset of machine learning

[M-AG39] Marine-Earth Informatics

[PEM13-P06] Automatic determination of Upper Hybrid Resonance Frequencies by Convolutional Neural Network.

[P-EM13] Inner magnetosphere: Recent understanding and new insights

[PEM16-P11] Detection of spread-F echoes in ionograms using machine learning

[P-EM16] Physics and Chemistry in the Atmosphere and Ionosphere

[ACG39-P06] Estimation of terrestrial carbon cycle in Asia using a machine learning and satellite data

[A-CG39] Biogeochemical cycles in Land Ecosystem

[ACG36-P02] Using machine learning models to predict the benefits of solar power generation in northern Taiwan

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[ACG36-P05] Application of deep learning techniques to precipitation guidance in short-term weather predictions

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence