Rapidmap project for disaster monitoring

K. Cho; H. Wakabayashi; C. H. Yang; U. Soergel; Ch Lanaras; E. Baltsavias; E. Rupnik; F. Nex; F. Remondino

Rapidmap project for disaster monitoring

K. Cho
, H. Wakabayashi
, C. H. Yang
, U. Soergel
, Ch Lanaras
, E. Baltsavias
, E. Rupnik
, F. Nex
, F. Remondino

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We present results of the RAPIDMAP project funded by the EU & Japan with aim to foster the cooperation of European countries with Japan in R&D. The main objective of RAPIDMAP is usage of remote sensing data and WebGIS technologies for rapid mapping of disasters and the development of a Decision Support System (DSS) for fast information access and analysis. Here, we mainly present a case study of the Tohoku tsunami disaster 2011. We address the topics, near real-time monitoring, change detection, mapping and co-registration, using images before and after the tsunami. The optical and radar images were acquired by satellites (TerraSAR-X and FORMOSAT-2) and UAVs (Unmanned Aerial Vehicle). Change detection focuses on linear features, using Curvelets, and flooded areas. Co-registration uses various matching methods for very different images and addresses also the problem of automated matching blunder detection. Results are also presented on mapping and change detection (especially of buildings) using oblique aerial optical images related to the L'Aquila (Italy) 2009 earthquake.

Original language	English
Title of host publication	35th Asian Conference on Remote Sensing 2014
Subtitle of host publication	ARCS 2014
Publisher	Curran Associates Inc.
Pages	598-603
Number of pages	6
Volume	1
ISBN (Print)	978-1-63439-999-9
Publication status	Published - Oct 2014
Externally published	Yes
Event	35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014 - Nay Pyi Taw, Myanmar Duration: 27 Oct 2014 → 31 Oct 2014 Conference number: 35

Conference

Conference	35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014
Abbreviated title	ACRS 2014
Country/Territory	Myanmar
City	Nay Pyi Taw
Period	27/10/14 → 31/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Change detection
Disasters
Image co-registration
L'Aquila earthquake
Mapping
Near real-time monitoring
Oblique aerial images
Optical images
SAR images
Tohoku Tsunami
UAV
ITC-CV

Cite this

@inproceedings{8972ac83d1004f17b072e65baa74ff7a,

title = "Rapidmap project for disaster monitoring",

abstract = "We present results of the RAPIDMAP project funded by the EU \& Japan with aim to foster the cooperation of European countries with Japan in R\&D. The main objective of RAPIDMAP is usage of remote sensing data and WebGIS technologies for rapid mapping of disasters and the development of a Decision Support System (DSS) for fast information access and analysis. Here, we mainly present a case study of the Tohoku tsunami disaster 2011. We address the topics, near real-time monitoring, change detection, mapping and co-registration, using images before and after the tsunami. The optical and radar images were acquired by satellites (TerraSAR-X and FORMOSAT-2) and UAVs (Unmanned Aerial Vehicle). Change detection focuses on linear features, using Curvelets, and flooded areas. Co-registration uses various matching methods for very different images and addresses also the problem of automated matching blunder detection. Results are also presented on mapping and change detection (especially of buildings) using oblique aerial optical images related to the L'Aquila (Italy) 2009 earthquake.",

keywords = "Change detection, Disasters, Image co-registration, L'Aquila earthquake, Mapping, Near real-time monitoring, Oblique aerial images, Optical images, SAR images, Tohoku Tsunami, UAV, ITC-CV",

author = "K. Cho and H. Wakabayashi and Yang, \{C. H.\} and U. Soergel and Ch Lanaras and E. Baltsavias and E. Rupnik and F. Nex and F. Remondino",

year = "2014",

month = oct,

language = "English",

isbn = "978-1-63439-999-9",

volume = "1",

pages = "598--603",

booktitle = "35th Asian Conference on Remote Sensing 2014",

publisher = "Curran Associates Inc.",

address = "United States",

note = "35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, ACRS 2014 ; Conference date: 27-10-2014 Through 31-10-2014",

}

Cho, K, Wakabayashi, H, Yang, CH, Soergel, U, Lanaras, C, Baltsavias, E, Rupnik, E, Nex, F & Remondino, F 2014, Rapidmap project for disaster monitoring. in 35th Asian Conference on Remote Sensing 2014: ARCS 2014. vol. 1, Curran Associates Inc., pp. 598-603, 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar, 27/10/14.

TY - GEN

T1 - Rapidmap project for disaster monitoring

AU - Cho, K.

AU - Wakabayashi, H.

AU - Yang, C. H.

AU - Soergel, U.

AU - Lanaras, Ch

AU - Baltsavias, E.

AU - Rupnik, E.

AU - Nex, F.

AU - Remondino, F.

N1 - Conference code: 35

PY - 2014/10

Y1 - 2014/10

N2 - We present results of the RAPIDMAP project funded by the EU & Japan with aim to foster the cooperation of European countries with Japan in R&D. The main objective of RAPIDMAP is usage of remote sensing data and WebGIS technologies for rapid mapping of disasters and the development of a Decision Support System (DSS) for fast information access and analysis. Here, we mainly present a case study of the Tohoku tsunami disaster 2011. We address the topics, near real-time monitoring, change detection, mapping and co-registration, using images before and after the tsunami. The optical and radar images were acquired by satellites (TerraSAR-X and FORMOSAT-2) and UAVs (Unmanned Aerial Vehicle). Change detection focuses on linear features, using Curvelets, and flooded areas. Co-registration uses various matching methods for very different images and addresses also the problem of automated matching blunder detection. Results are also presented on mapping and change detection (especially of buildings) using oblique aerial optical images related to the L'Aquila (Italy) 2009 earthquake.

AB - We present results of the RAPIDMAP project funded by the EU & Japan with aim to foster the cooperation of European countries with Japan in R&D. The main objective of RAPIDMAP is usage of remote sensing data and WebGIS technologies for rapid mapping of disasters and the development of a Decision Support System (DSS) for fast information access and analysis. Here, we mainly present a case study of the Tohoku tsunami disaster 2011. We address the topics, near real-time monitoring, change detection, mapping and co-registration, using images before and after the tsunami. The optical and radar images were acquired by satellites (TerraSAR-X and FORMOSAT-2) and UAVs (Unmanned Aerial Vehicle). Change detection focuses on linear features, using Curvelets, and flooded areas. Co-registration uses various matching methods for very different images and addresses also the problem of automated matching blunder detection. Results are also presented on mapping and change detection (especially of buildings) using oblique aerial optical images related to the L'Aquila (Italy) 2009 earthquake.

KW - Change detection

KW - Disasters

KW - Image co-registration

KW - L'Aquila earthquake

KW - Mapping

KW - Near real-time monitoring

KW - Oblique aerial images

KW - Optical images

KW - SAR images

KW - Tohoku Tsunami

KW - UAV

KW - ITC-CV

M3 - Conference contribution

AN - SCOPUS:84925423358

SN - 978-1-63439-999-9

VL - 1

SP - 598

EP - 603

BT - 35th Asian Conference on Remote Sensing 2014

PB - Curran Associates Inc.

T2 - 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014

Y2 - 27 October 2014 through 31 October 2014

ER -

Rapidmap project for disaster monitoring

Abstract

Conference

UN SDGs

Keywords

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Cite this