Geoinformatics Unit

PRESA DE ITAIPU, Paraguay, April 26, 2018 (Sentinel-2 imagery © ESA)

What's New

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Preliminary flood mapping after the Cyclone Fani in India

On early May 2019, the Cyclone Fani hit the central east coast of India flooding several areas.

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Preliminary Analysis of the Mw6.1 Luzon Earthquake Using ALOS-2 Data

On 22 April 2019, an M 6.1 earthquake struck the Philippines at 5:11 pm (local time).

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Proposals accepted for EO-RA2

Our two proposals were accepted for the 2nd Research Announcement on the Earth Observations (EO-RA2) coordinated by JAXA.

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Preliminary Flood Mapping in Aq Qala, Iran, Following Torrential Rain in late March 2019

Torrential rain in late March 2019 hit the northern part of Iran causing extensive flooding in urban areas and surroundings.

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Preliminary Flood Mapping Following Torrential Rain in Pol-e Dokhtar, Iran on March 26, 2019

The first heavy rain hit Northern Iran on 21st March 2019, and the second one hit southern and central Iran after just a few days. According to the authorities, most of the people in Pol-e Dokhtar town in Lorestan province were trapped in balconies and rooftops due to the huge amount of water on the streets.

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Proposals accepted for KAKENHI

Our two proposals were accepted for KAKENHI Grant-in-Aid for Young Scientists, Japan Society for the Promotion of Science (JSPS).

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Preliminary Flood Mapping Following Torrential Rain in Iran on March 21, 2019

Torrential rain on 21 March 2019 hits the northern part of Iran, leaving local people homeless in the Golestan province. Although the capital of the Golestan province (Gorgan city) is situated too far from the inundated area, Aqqala town has been seriously affected.

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Preliminary Flood Mapping Following a Dam Collapse in Brazil on January 25, 2019

On late January 2019, extensive damage occurred due to the collapse of a tailings dam in Brazil.

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Papers accepted at CVPR 2019

Pleased to announce that two papers were accepted to CVPR 2019, Long Beach, CA.

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Papers accepted at ICASSP 2019

Pleased to announce that two papers were accepted to IEEE ICASSP 2019, Brighton, UK.

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Preliminary Damage Mapping Following the M7.5 Earthquake in Indonesia on September 28, 2018

On September 28, 2018 (10:02:43 UTC), an M7.5 earthquake occurred 8km North of Palu, Indonesia, causing a tsunami with waves up to 2 m.

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IEEE GRSL Special Stream Call for Papers

Submission for the special stream "Advanced Processing for Multimodal Optical Remote Sensing Imagery" of IEEE Geoscience and Remote Sensing Letters is open since October 1, 2018.

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Preliminary Tsunami Height Mapping Following the M7.5 Earthquake in Indonesia on September 28, 2018

On September 28, 2018 (10:02:43 UTC), an M7.5 earthquake occurred 8km North of Palu, Indonesia, causing a tsunami with waves up to 2 m.

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Paper published in ISPRS International Journal of Geo-Information

Our paper entitled "Multi-temporal Sentinel-1 and -2 data fusion for optical image simulation" has been published in ISPRS International Journal of Geo-Information.

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Preliminary Flood Mapping Following Typhoon Mangkhut in the Philippines on September 15, 2018

On September 15, 2018, the Typhoon Mangkhut caused extensive flooding in the northern region of the Philippines. The Geoinformatics Unit from RIKEN Center for Advanced Intelligence Project conducted a preliminary mapping of the flooded areas using satellite remote sensing imagery.

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Preliminary Landslide Mapping Following the M6.7 Earthquake in Hokkaido, Japan, on September 6, 2018

On September 6, 2018, an M6.7 earthquake occurred in the Hokkaido region, eastern Japan, causing severe damage and casualties. The Geoinformatics Unit from RIKEN Center for Advanced Intelligence Project, Tokyo Institute of Technology, and the International Research Institute of Disaster Science conducted a preliminary damage mapping using satellite remote sensing imagery (ALOS-2) acquired from the affected areas.

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Preliminary Flood Mapping Following Dam Collapse in Myanmar on August 29, 2018

On August 29, 2018, extensive flooding occurred due to the collapse of the Swar Irrigation Dam in southern Myanmar.

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Preliminary Landslide Mapping Following the Torrential Rain in Western Japan on July 6, 2018

On July 6, 2018, severe damage and causalities occurred due to the torrential rain in western Japan. The Geoinformatics Unit from RIKEN-AIP and the International Research Institute of Disaster Science (IRIDeS) conducted a preliminary damage mapping using satellite remote sensing imagery (ALOS-2) acquired from the affected areas. The ALOS-2 data used in this analysis was provided by the large-scale disaster satellite image analysis support team of the National Aerospace Exploration Agency of Japan.

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Internship Opportunities

We are looking for motivated and skilled internship students who want to work on machine learning in remote sensing. Thesis projects are also welcomed.

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Presentations and Invited Sessions at IGARSS 2018

Our work will be presented in seven contributions (four posters and three oral presentations) at <a href="https://igarss2018.org/default.asp">IGARSS 2018</a> in Valencia, Spain!! Bruno and Naoto will attend the conference. More details of our contributions are listed below.<br><br> Title: DAMAGE MAPPING AFTER THE 2017 PUEBLA EARTHQUAKE IN MEXICO USING HIGH-RESOLUTION ALOS2 PALSAR2 DATA<br> Topic: Land Applications: Urban and Built Environment<br> Session: MOP2.PL: Urban and Built Environment I<br> Time: Monday, July 23, 15:50 - 16:50<br> Authors: Bruno Adriano, Shunichi Koshimura, Sadra Karimzadeh, Masashi Matsuoka, Magaly Koch<br><br> Title: SMALL SIZE CLASS PRESERVING CLASSIFICATION BASED ON SEGMENTATION FOR HYPERSPECTRAL DATA<br> Topic: Data Analysis Methods (Optical, Multispectral, Hyperspectral, SAR): Classification and Clustering<br> Session: TUP1.PH: Classification of Hyperspectral Data<br> Time: Tuesday, July 24, 10:10 - 11:10<br> Authors: Tatsuya Yamada, Junshi Xia, Akira Iwasaki<br><br> Title: SUPERPIXEL BASED DIMENSION REDUCTION FOR HYPERSPECTRAL IMAGERY<br> Topic: Data Analysis Methods (Optical, Multispectral, Hyperspectral, SAR): Classification and Clustering<br> Session: TUP1.PG: Spectral-Spatial Approaches in Hyperspectral Remote Sensing<br> Time: Tuesday, July 24, 10:10 - 11:10<br> Authors: Huilin Xu, Hongyan Zhang, Wei He, Liangpei Zhang<br><br> Title: MULTIPLE SOURCES DATA FUSION VIA DEEP FOREST<br> Topic: Invited Sessions: Data Fusion<br> Session: TU3.R7: Data Fusion I<br> Time: Tuesday, July 24, 14:10 - 15:50<br> Authors: Junshi Xia, Zuheng Ming, Akira Iwasaki<br><br> Title: THE DATA FUSION CONTEST 2018: ADVANCED MULTI-SENSOR OPTICAL REMOTE SENSING FOR URBAN LAND USE AND LAND COVER CLASSIFICATION<br> Topic: Invited Sessions: IEEE GRSS Data Fusion Contest<br> Session: WE1.R5: IEEE GRSS Data Fusion Contest<br> Time: Wednesday, July 25, 08:30 - 10:10<br> Authors: Naoto Yokoya, Bertrand Le Saux, Ronny Hänsch, Saurabh Prasad<br><br> Title: A COMPARATIVE STUDY OF FUSION-BASED CHANGE DETECTION METHODS FOR MULTI-BAND IMAGES WITH DIFFERENT SPECTRAL AND SPATIAL RESOLUTIONS<br> Topic: Data Analysis Methods (Optical, Multispectral, Hyperspectral, SAR): Change Detection and Multi-Temporal Analysis<br> Session: WEP1.PJ: Techniques for Multi-temporal Optical Image Analysis<br> Time: Wednesday, July 25, 10:10 - 11:10<br> Authors: Vinicius Ferraris, Naoto Yokoya, Nicolas Dobigeon, Marie Chabert<br><br> Title: BOOSTING FOR DOMAIN ADAPTATION EXTREME LEARNING MACHINES FOR HYPERSPECTRAL IMAGE CLASSIFICATION<br> Topic: Data Analysis Methods (Optical, Multispectral, Hyperspectral, SAR): Classification and Clustering<br> Session: WE4.R1: Learning and Domain Adaptation<br> Time: Wednesday, July 25, 16:50 - 18:30<br> Authors: Junshi Xia, Naoto Yokoya, Akira Iwasaki<br><br><br> Furthermore, we will organize the following invited sessions:<br><br> <a href="https://igarss2018.org/Papers/PublicSessionIndex3.asp?Sessionid=1371">TU3.R7: Data Fusion I</a><br> <a href="https://igarss2018.org/Papers/PublicSessionIndex3.asp?Sessionid=1372">TU4.R7: Data Fusion II</a><br> <a href="https://igarss2018.org/Papers/PublicSessionIndex3.asp?Sessionid=1328">WE1.R5: IEEE GRSS Data Fusion Contest</a><br><br>

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Paper accepted at ECCV 2018

Pleased to announce that our paper entitled "Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification," written by Danfeng Hong, Naoto Yokoya, Jian Xu, and Xiaoxiang Zhu was accepted to <a href="https://eccv2018.org/">European Conference on Computer Vision 2018</a>!! This paper proposes a linearized subspace learning technique to improve explainability, generalization, and cost-effectiveness. Experiments on hyperspectral remote sensing datasets and face datasets demonstrate the superiority and effectiveness of the proposed method in comparison with previous state-of-the-art methods.

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Outcome of 2017 IEEE GRSS Data Fusion Contest published in JSTARS!

Our paper entitled "Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest" has been published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.<br><br> The paper summarizes the outcome of the 2017 IEEE GRSS Data Fusion Contest, which was focused on local climate zones classification using multimodal data (i.e., multitemporal Landsat-8, Sentinel-2, and OpenStreetMap).<br><br> More details are reported in the following open access paper:<br> N. Yokoya, P. Ghamisi, J. Xia, S. Sukhanov, R. Heremans, I. Tankoyeu, B. Bechtel, B. Le Saux, G. Moser, and D. Tuia, "<a href="https://ieeexplore.ieee.org/document/8338367/">Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest</a>,” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 11, no. 5, pp. 1363-1377, 2018.

We are a RESEARCH GROUP in Tokyo
specialized in Remote Sensing and Geoinformatics

Geoinformatics Unit aims to develop intelligent systems that monitor and assess the state and changes of urban areas and natural environments from large-scale time-series geospatial data. We study fundamental technologies of geospatial data analysis that can deal with data incompleteness, limited training data, and multimodality. Our applied research includes disaster response, urban planning, and forest monitoring.

Our Team


Bruno ADRIANO
Postdoctoral Researcher

Gerald BAIER
Postdoctoral Researcher

Yong CHEN
Intern

Wei HE
Postdoctoral Researcher

Tien Dat PHAM
Postdoctoral Researcher

Junshi XIA
Research Scientist

Tatsuya YAMADA
Part-time Researcher

Naoto YOKOYA
Unit Leader

Tatsumi UEZATO
Postdoctoral Researcher

Sadra KARIMZADEH
Postdoctoral Researcher

Contact Us

RIKEN Center for Advanced Intelligence Project
Nihonbashi 1-chome Mitsui Building, 15th floor
1-4-1 Nihonbashi, Chuo-ku
Tokyo 103-0027, Japan
+81-48-467-3626
(first name).(last name)riken.jp