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Chinese Water Systems pp 311–334Cite as

Research Centre for Environmental Information Science (RCEIS)

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Part of the book series: Terrestrial Environmental Sciences ((TERENVSC))

Abstract

The Research Centre for Environmental Information Science (RCEIS) was established in March 2014. In the long-term vision RCEIS shall become a Sino-German competence centre and research platform for Earth systems observation and modelling by combining expertise in the fields of environmental and information sciences using modern information technology. As a scientific goal, RCEIS will develop novel concepts by using infrastructures for Earth system observation and analysis in order to better understand the evolution and dynamics of environmental systems under global change and globalization (anthropogenic pressure). An important methodology is the further development and combination of different infrastructures for Earth system observation, e.g. combining information from remote sensing (satellites and airborne) and “ground-truth” measurements. Moreover, monitoring (remote sensing and monitoring) and modelling platforms (multi-sphere/compartment, cycle-oriented) need to be combined.

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Notes

  1. 1.

    http://www.ufz.de/export/data/454/190226_CC2016-16x24_compressed.pdf.

  2. 2.

    http://www.springer.com/us/book/9783319528083.

  3. 3.

    http://www.springer.com/series/13468.

  4. 4.

    https://link.springer.com/journal/12665/topicalCollection/AC_3272fcfe5090198e9cb55fa7c6de4d82/page/1.

  5. 5.

    https://link.springer.com/journal/12665/74/5/page/1.

  6. 6.

    https://link.springer.com/journal/12665/topicalCollection/AC_0ea350c70d54666fa7cc9843bd7d86b5/page/1.

  7. 7.

    For further information see “Ecohydrology—Observation and Management” https://link.springer.com/referencework/10.1007/978-3-662-47871-4.

  8. 8.

    http://www.nsbd.gov.cn/zx/english/.

  9. 9.

    https://en.wikipedia.org/wiki/South%E2%80%93North_Water_Transfer_Project.

  10. 10.

    The South-to-North Water Diversion Project. Engineering, 2: 265-267, http://dx.doi.org/10.1016/J.ENG.2016.03.022.

  11. 11.

    http://www.nsbd.gov.cn/zx/english/erp.htm.

  12. 12.

    http://www.nsbd.gov.cn/zx/english/mrp.htm.

  13. 13.

    http://news.xinhuanet.com/politics/2017lh/2017-03/16/c_1120638890.htm.

  14. 14.

    http://www.gov.cn/jrzg/2013-09/12/content_2486918.htm.

  15. 15.

    http://www.gov.cn/zhengce/content/2015-04/16/content_9613.htm.

  16. 16.

    http://www.gov.cn/zhengce/content/2016-05/31/content_5078377.htm.

  17. 17.

    http://www.gov.cn/zhengce/content/2016-12/05/content_5143290.htm.

  18. 18.

    http://www.mep.gov.cn/gkml/hbb/bgt/201603/t20160311_332712.htm.

  19. 19.

    www.ufz.de/urbancatchments.

  20. 20.

    www.delight.eoc.dlr.de/en.

  21. 21.

    UAVunmannedaerialvehicle.

  22. 22.

    http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-2.

  23. 23.

    ESA:EuropeanSpaceAgency.

  24. 24.

    HiWATER Project—Heihe Watershed Allied Telemetry Experimental Research http://card.westgis.ac.cn/hiwater.

  25. 25.

    TERENO—TERestrial ENvironmental Observatories www.tereno.net.

  26. 26.

    ACROSS—Advanced Remote Sensing Validation and Test Facilities.

  27. 27.

    MOSES—Modular Observation Solutions for Earth Systems.

References

  1. Klein, I., U. Gessner, A.J. Dietz, and C. Kuenzer. 2017. Global WaterPack—A 250 m resolution dataset revealing the daily dynamics of global inland water bodies. In Remote sensing of environment, vol. 198, 345–362. ISSN: 0034-4257. https://doi.org/10.1016/j.rse.2017.06.045. http://www.sciencedirect.com/science/article/pii/S003442571730305X.

  2. Kuenzer, C., et al. 2013. Flood mapping and flood dynamics of the Mekong Delta: ENVISAT-ASAR-WSM based time series analyses. Remote Sensing 5(2): 687–715.

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  3. Gstaiger, V., J. Huth, S. Gebhardt, T. Wehrmann, and C. Kuenzer. 2012. Multisensoral and automated derivation of inundated areas using TerraSAR-X and ENVISAT ASAR data. International Journal of Remote Sensing 33(22): 7291–7304.

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Author information

Authors and Affiliations

  1. Helmholtz Centre for Environmental Research, Leipzig, Germany

    Cui Chen & Olaf Kolditz

  2. Forschungszentrum Juelich, Jülich, Germany

    Carsten Montzka

  3. German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany

    Juliane Huth & Claudia Kuenzer

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Harald Kunstmann

  5. Institute for Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

    TianXiang Yue

  6. Technical University Dresden, Dresden, Germany

    Olaf Kolditz

Authors
  1. Cui Chen
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  2. Carsten Montzka
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  3. Juliane Huth
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  4. Claudia Kuenzer
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  5. Harald Kunstmann
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  6. TianXiang Yue
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  7. Olaf Kolditz
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Corresponding author

Correspondence to Cui Chen .

Editor information

Editors and Affiliations

  1. Institute of Geographical Sciences and Natural Resources, Beijing, China

    TianXiang Yue

  2. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Erik Nixdorf

  3. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Chengzi Zhou

  4. School of Environment, Tsinghua University, Beijing, China

    Bing Xu

  5. Institute of Geographical Sciences and Natural Resources, Beijing, China

    Na Zhao

  6. Jiangxi Remote Sensing Information System Center, Nanchang, China

    Zhewen Fan

  7. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

    Xiaolan Huang

  8. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Cui Chen

  9. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Olaf Kolditz

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Chen, C. et al. (2019). Research Centre for Environmental Information Science (RCEIS). In: Yue, T., et al. Chinese Water Systems. Terrestrial Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-97725-6_19

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