Fine resolution basin database using 10m DEM at the area along Sanriku coast of Japan
This fine resolution basin database provides basin model over 10ha sub-basins of the Sanriku coastal area located in the north west Pacific side of Japan. The data contain watershed boundary and flow path data about the target area created by use of a 10m digital elevation model (DEM). Using this da...
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| Published in | JAMSTEC REPORT OF RESEARCH AND DEVELOPMENT Vol. 28; pp. 54 - 60 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English Japanese |
| Published |
Yokohama
Japan Agency for Marine-Earth Science and Technology
01.04.2019
Japan Science and Technology Agency |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1880-1153 2186-358X |
| DOI | 10.5918/jamstecr.28.54 |
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| Abstract | This fine resolution basin database provides basin model over 10ha sub-basins of the Sanriku coastal area located in the north west Pacific side of Japan. The data contain watershed boundary and flow path data about the target area created by use of a 10m digital elevation model (DEM). Using this data, the coverage area was increased over 721.66km2 compared to the low resolution public data set provided by the government. It increased the coastline coverage from 17% to 84% compared with the low resolution data set in 1km grid. For use in the coastal area or river discharge model, this data also contains the overall drainage basin boundary at the river mouth. The area of this survey was highly damaged by the tsunami on The 2011 Great East Japan Earthquake and post-disaster anthropogenic impact. Thus, this database will be of interest in the context of changes in land use and river discharge to assess both post-disaster anthropogenic impacts on the ecosystems. Complete dataset is available via site:http://www.godac.jamstec.go.jp/catalog/data_catalog/metadataDisp/JAMSTEC-R_28DP01?lang=en&view=simple |
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| AbstractList | This fine resolution basin database provides basin model over 10ha sub-basins of the Sanriku coastal area located in the north west Pacific side of Japan. The data contain watershed boundary and flow path data about the target area created by use of a 10m digital elevation model (DEM). Using this data, the coverage area was increased over 721.66km2 compared to the low resolution public data set provided by the government. It increased the coastline coverage from 17% to 84% compared with the low resolution data set in 1km grid. For use in the coastal area or river discharge model, this data also contains the overall drainage basin boundary at the river mouth. The area of this survey was highly damaged by the tsunami on The 2011 Great East Japan Earthquake and post-disaster anthropogenic impact. Thus, this database will be of interest in the context of changes in land use and river discharge to assess both post-disaster anthropogenic impacts on the ecosystems. Complete dataset is available via site:http://www.godac.jamstec.go.jp/catalog/data_catalog/metadataDisp/JAMSTEC-R_28DP01?lang=en&view=simple |
| Author | Imaki, Hiroo Yamakita, Takehisa |
| Author_xml | – sequence: 1 fullname: Yamakita, Takehisa organization: Assessment of Environmental Dynamics Division, Department of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University – sequence: 1 fullname: Imaki, Hiroo organization: Pacific Spatial Solutions, LLC (PSS) |
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| Cites_doi | 10.1016/S0098-3004(02)00022-5 10.1007/s11269-006-9098-z 10.11492/ceispapersen.2017.1_25 10.1126/science.1128845 10.1016/j.cageo.2016.07.003 10.1002/esp.3888 10.1109/IGARSS.2011.6050017 10.1002/hyp.7186 10.1029/2005RG000183 10.1002/hyp.10648 10.1007/s11284-018-1571-7 10.1016/j.marpol.2017.03.040 |
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| References | Jones, R. (2002), Algorithms for using a DEM for mapping catchment areas of stream sediment samples, Comput. Geosci., 28, 1051-1060, doi:10.1016/S0098-3004(02)00022-5. Tachikawa, T., M. Hato, M. Kaku, and A. Iwasaki (2011), Characteristics of ASTER GDEM version 2, International Geoscience and remote sensing symposium (IGARSS) IEEE international, 2011, 3657-3660. Farr, T.G., P.A. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, E. Rodriguez, L. Roth, D. Seal, S. Shaffer, J. Shimada, J. Umland, M. Werner, M. Oskin, D. Burbank, and D. Alsdorf (2007), The shuttle radar topography mission, Rev. Geophys., 45(2), doi:10.1029/2005RG000183. Jenson, S.K. and J.O. Domingue (1988), Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, Photogramm. Eng. Remote Sensing, 54(11), 1593-1600. Esri (2014), How Flow Accumulation works, <http://resources.arcgis.com/en/help/main/10.2/009z/009z00000062000000.htm>, (Last modified: 2014-04-10, accessed 2018-06-07). Oki, T. and S. Kanae (2006), Global Hydrological Cycles and World Water Resources, Science, 313, 1068-1072, doi:10.1126/science.1128845. Yamakita, T., H. Yokooka, Y. Fujiwara, M. Kawato, S. Tsuchida, S. Ishibashi, T. Kurokawa, and K. Fujikura (2018), Image dataset of ophiuroid and other deep sea benthic organisms in 2015 extracted from the survey off Sanriku, Japan, by the research following the Great East Japan Earthquake 2011, Ecol. Res., 33, 285, doi:10.1007/s11284-018-1571-7. Yamazaki, D., D. Ikeshima, R. Tawatari, T. Yamaguchi, F. O'Loughlin, J.C. Neal, C.C. Sampson, S. Kanae, and P.D. Bates (2017), A high-accuracy map of global terrain elevations, Geophys. Res. Lett., 44, 5844-5853. Yamakita, T., K. Sudo, Y. Jintsu-Uchifune, H. Yamamoto, and Y. Shirayama(2017b), Identification of important marine areas using ecologically or biologically significant areas (EBSAs) criteria in the East to Southeast Asia region and comparison with existing registered areas for the purpose of conservation, Mar. Policy, 81, 273-284, doi:10.1016/j.marpol.2017.03.040. Lebreton, L.C.M. and J.C. Borrero (2013), Modeling the transport and accumulation floating debris generated by the 11 March 2011 Tohoku tsunami, Mar. Pollut. Bull., 66, 53-58. Yamakita, T. (2018a), Cultural ecosystem services of temperate coastal areas of japan: Uses of tidal flats, sandy beaches, and rocky - coral areas. 8th Asian Wetland Symposium 2017 PROCEEDINGS, 290-293. Yamakita, T., Y. Matsuoka, and S. Iwasaki (2017a), Impact of the 2011 Tohoku Earthquake on the Use of Tidal flat: a Case Study in Inner Tokyo Bay, J. Environ. Inf. Sci., 2017 (1), 25-36, doi:10.11492/ceispapersen.2017.1_25. Borowski, I. and M. Hare (2007), Exploring the gap between water managers and researchers: Difficulties of model-based tools to support practical water management, Water Resour. Manag., 21, 1049-1074, doi:10.1007/s11269-006-9098-z. Tadono, T., J. Takaku, K. Tsutsui, F. Oda, and H. Nagai (2015), Status of "ALOS World 3D (AW3D)" global DSM generation, International Geoscience and Remote Sensing Symposium (IGARSS) IEEE international, 2015, 3822-3825. Ecolis Inc. (2016), DEM data transformation tool for Base map information elevation Ver1.6.6, <http://www.ecoris.co.jp/contents/demtool.html>, (accessed 2016-11-01). National Institute for Environmental Studies (NIES) (2009), Center for Global Environmental Research (CGER), Global Drainage Basin Database (GDBD), <http://www.cger.nies.go.jp/db/gdbd/gdbd_index_e.html>, (accessed 2018-08-01). Yamakita, T. (2018b), Change of the ocean after the Great East Japan Earthquake -Utilization of Geographic Information System and GIScience-, E-Research in Species Biology 2. Lindsay, J.B. (2016c), The practice of DEM stream burning revisited, Earth Surf. Process. Landf., 41, 658-668, doi:10.1002/esp.3888. Masutomi, Y., Y. Inui, K. Takahashi, and Y. Matsuoka (2009), Development of highly accurate global polygonal drainage basin data, Hydrol. Process., 23, 572-584, doi:10.1002/hyp.7186. Lindsay, J.B. (2016a), Whitebox GAT: A case study in geomorphometric analysis, Comput. Geosci., 95, 75-84, doi:10.1016/j.cageo.2016.07.003. Ministry of Land Infrastructure Transport and Tourism (MLIT) (2009), River data, National Land Numerical Information Download Service, <http://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-W05.html>, (accessed 2016-11-01). Lindsay, J.B. (2016b), Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation models, Hydrol. Process., 30, 846-857, doi:10.1002/hyp.10648. Geospatial Information Authority of Japan (GSI) (2016), Base map information download service, <http://fgd.gsi.go.jp/download/>, (accessed 2016-11-01). 11 22 12 23 13 cr-split#-17.1 14 15 16 18 19 1 2 3 4 5 6 7 8 9 cr-split#-17.2 20 10 21 |
| References_xml | – reference: Ecolis Inc. (2016), DEM data transformation tool for Base map information elevation Ver1.6.6, <http://www.ecoris.co.jp/contents/demtool.html>, (accessed 2016-11-01). – reference: Tadono, T., J. Takaku, K. Tsutsui, F. Oda, and H. Nagai (2015), Status of "ALOS World 3D (AW3D)" global DSM generation, International Geoscience and Remote Sensing Symposium (IGARSS) IEEE international, 2015, 3822-3825. – reference: National Institute for Environmental Studies (NIES) (2009), Center for Global Environmental Research (CGER), Global Drainage Basin Database (GDBD), <http://www.cger.nies.go.jp/db/gdbd/gdbd_index_e.html>, (accessed 2018-08-01). – reference: Lindsay, J.B. (2016c), The practice of DEM stream burning revisited, Earth Surf. Process. Landf., 41, 658-668, doi:10.1002/esp.3888. – reference: Geospatial Information Authority of Japan (GSI) (2016), Base map information download service, <http://fgd.gsi.go.jp/download/>, (accessed 2016-11-01). – reference: Lindsay, J.B. (2016b), Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation models, Hydrol. Process., 30, 846-857, doi:10.1002/hyp.10648. – reference: Yamakita, T., H. Yokooka, Y. Fujiwara, M. Kawato, S. Tsuchida, S. Ishibashi, T. Kurokawa, and K. Fujikura (2018), Image dataset of ophiuroid and other deep sea benthic organisms in 2015 extracted from the survey off Sanriku, Japan, by the research following the Great East Japan Earthquake 2011, Ecol. Res., 33, 285, doi:10.1007/s11284-018-1571-7. – reference: Yamakita, T., K. Sudo, Y. Jintsu-Uchifune, H. Yamamoto, and Y. Shirayama(2017b), Identification of important marine areas using ecologically or biologically significant areas (EBSAs) criteria in the East to Southeast Asia region and comparison with existing registered areas for the purpose of conservation, Mar. Policy, 81, 273-284, doi:10.1016/j.marpol.2017.03.040. – reference: Yamazaki, D., D. Ikeshima, R. Tawatari, T. Yamaguchi, F. O'Loughlin, J.C. Neal, C.C. Sampson, S. Kanae, and P.D. Bates (2017), A high-accuracy map of global terrain elevations, Geophys. Res. Lett., 44, 5844-5853. – reference: Borowski, I. and M. Hare (2007), Exploring the gap between water managers and researchers: Difficulties of model-based tools to support practical water management, Water Resour. Manag., 21, 1049-1074, doi:10.1007/s11269-006-9098-z. – reference: Tachikawa, T., M. Hato, M. Kaku, and A. Iwasaki (2011), Characteristics of ASTER GDEM version 2, International Geoscience and remote sensing symposium (IGARSS) IEEE international, 2011, 3657-3660. – reference: Jenson, S.K. and J.O. Domingue (1988), Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, Photogramm. Eng. Remote Sensing, 54(11), 1593-1600. – reference: Jones, R. (2002), Algorithms for using a DEM for mapping catchment areas of stream sediment samples, Comput. Geosci., 28, 1051-1060, doi:10.1016/S0098-3004(02)00022-5. – reference: Yamakita, T. (2018a), Cultural ecosystem services of temperate coastal areas of japan: Uses of tidal flats, sandy beaches, and rocky - coral areas. 8th Asian Wetland Symposium 2017 PROCEEDINGS, 290-293. – reference: Ministry of Land Infrastructure Transport and Tourism (MLIT) (2009), River data, National Land Numerical Information Download Service, <http://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-W05.html>, (accessed 2016-11-01). – reference: Masutomi, Y., Y. Inui, K. Takahashi, and Y. Matsuoka (2009), Development of highly accurate global polygonal drainage basin data, Hydrol. Process., 23, 572-584, doi:10.1002/hyp.7186. – reference: Farr, T.G., P.A. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, E. Rodriguez, L. Roth, D. Seal, S. Shaffer, J. Shimada, J. Umland, M. Werner, M. Oskin, D. Burbank, and D. Alsdorf (2007), The shuttle radar topography mission, Rev. Geophys., 45(2), doi:10.1029/2005RG000183. – reference: Esri (2014), How Flow Accumulation works, <http://resources.arcgis.com/en/help/main/10.2/009z/009z00000062000000.htm>, (Last modified: 2014-04-10, accessed 2018-06-07). – reference: Lebreton, L.C.M. and J.C. Borrero (2013), Modeling the transport and accumulation floating debris generated by the 11 March 2011 Tohoku tsunami, Mar. Pollut. Bull., 66, 53-58. – reference: Lindsay, J.B. (2016a), Whitebox GAT: A case study in geomorphometric analysis, Comput. Geosci., 95, 75-84, doi:10.1016/j.cageo.2016.07.003. – reference: Oki, T. and S. Kanae (2006), Global Hydrological Cycles and World Water Resources, Science, 313, 1068-1072, doi:10.1126/science.1128845. – reference: Yamakita, T. (2018b), Change of the ocean after the Great East Japan Earthquake -Utilization of Geographic Information System and GIScience-, E-Research in Species Biology 2. – reference: Yamakita, T., Y. Matsuoka, and S. Iwasaki (2017a), Impact of the 2011 Tohoku Earthquake on the Use of Tidal flat: a Case Study in Inner Tokyo Bay, J. Environ. Inf. Sci., 2017 (1), 25-36, doi:10.11492/ceispapersen.2017.1_25. – ident: 2 – ident: 7 doi: 10.1016/S0098-3004(02)00022-5 – ident: 1 doi: 10.1007/s11269-006-9098-z – ident: 3 – ident: 18 – ident: 20 doi: 10.11492/ceispapersen.2017.1_25 – ident: 15 doi: 10.1126/science.1128845 – ident: 5 – ident: 9 doi: 10.1016/j.cageo.2016.07.003 – ident: 11 doi: 10.1002/esp.3888 – ident: #cr-split#-17.2 – ident: 16 doi: 10.1109/IGARSS.2011.6050017 – ident: #cr-split#-17.1 – ident: 12 doi: 10.1002/hyp.7186 – ident: 4 doi: 10.1029/2005RG000183 – ident: 19 – ident: 10 doi: 10.1002/hyp.10648 – ident: 13 – ident: 14 – ident: 6 – ident: 22 doi: 10.1007/s11284-018-1571-7 – ident: 8 – ident: 21 doi: 10.1016/j.marpol.2017.03.040 – ident: 23 |
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| SubjectTerms | 3.11 Great East Japan Earthquake Anthropogenic factors Aquatic ecosystems Basins coast of Tohoku Coastal zone Coasts Disasters Earthquakes Environmental changes Environmental impact geographic information system (GIS) Land use river basin River discharge River flow River mouth Rivers Seismic activity watershed |
| Title | Fine resolution basin database using 10m DEM at the area along Sanriku coast of Japan |
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