XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/1:]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GEOGRAPHICAL INFORMATION ANALYSIS OF TSUNAMI FLOODED AREA BY THE GREAT EAST JAPAN EARTHQUAKE USING MOBILE MAPPING SYSTEM M. Koarai, T. Okatani, T. Nakano, T. Nakamura, M. Hasegawa

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 2. USED GEOSPATIAL DATA 2.1 Landform classification Landform classification data is vector data of Land Condition Map “Sendai” and “Iwanuma” produced by GSI. As there is no data of Land Condition Map of *Kakuda" area, the authors had produced landform classification data of “Kakuda” area by the interpretation of aerial photo with scale of 1/10,000 taken by GSI in 1961. Landform classification was divided into fourteen categories, such as mountain slope, unstable slope, terrace or table land, talus, alluvial fan, natural levee or sand dune or sand bar, dent or shallow valley, valley plain or flood plain, coastal plain or delta, back marsh, former river bed, frequently flooded area, water and artificial deformed area. 2.2 DEMs DEMs data is 5 meters grid data measured by airborne laser survey (LiDAR) after earthquake. These data was combined the data measured by Miyagi Prefecture in March or April and by GSI in May or June, 2011. 2.3 Land use Land use data is 100 meter grid data of National Land Information Data by the Ministry of Land, Infrastructure, Transportation and Tourism (MLIT). This data is divided into eleven categories, such as paddy, other farmland, forest, wasteland, building area, arterial traffic area, land for other use, rivers or lakes, seashore, seawater and golf course. 2.4 Tsunami damage classification The authors divided tsunami damage into three categories by interpreting aerial photos; first rank (Rank 1) is the completely destroyed area where almost wooden buildings were lost, second rank (Rank 2) is the heavily damaged area where a large number of houses were destroyed by the tsunami, and third rank (Rank 3) is the flooded only area where houses were less destroyed. Figure 1 is tsunami damage classification map of a part of Sendai Plain where close to the Sendai Airport. 2.5 Tsunami depth measured by MMS The tsunami flooded depth was measured by photogrammetric method using digital image taken by Mobile Mapping System (MMS). Outline of MMS is shown in Figure 2. MMS obtains 360 degree panoramic image by cameras on a vehicle. IP-S2 by Topcon Corporation was used for this study, and the system is composed of 6 cameras, GPS antenna and IMU (inertial measurement unit). GPS antenna and IMU measure positions and tilts of cameras. Cameras can obtain image data at rates of 16 frames / second. Using this system, we obtain the image data with three dimensional location information. To select the position of tsunami flooded marks and ground surface in this image, it is possible to measure the tsunami flooded depth by calculation of image data (Figure 3). 28 Legend Tsunami damage level Rank1 Rank2 Rank3 0 250 500 1,000 m LLL EL Figure 1. Tsunami damage map of Sendai Plain Figure 2. Outline of Mobile Mapping System (MMS) Figure 3. Measurement of tsunami flooded depth by MMS Inter 3.1 Relat depth Figure : and tsunai Natori Cit Iwanuma | These flooded de 1.5m tsun Figure measured Earthquak authors’ 1 height is c height = measurem measurem Figure 4. 3.2 Rel: conditioi The re and tsun Figure7 classifica DEMs. F In this use in Se

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