The development and practice of China GEO

  • role: First author第一作者
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

  • Email:zhichun_liu@163.com
  • Introduction: E-mail zhichun_liu@163.com
LIU Zhichun1,  
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

ZHANG Jing1,  
  • Affiliation:

    Department of Earth System Science, Ministry of Education Ecological Field Station for East Asian Migratory Birds, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China

BAI Yuqi2,  
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

MIAO Chen1,  
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

GUO Ming1,  
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

WANG Sisi1,  
  • Affiliation:

    National Remote Sensing Center of China, Beijing 100036, China

LIU Yiliang1

Resümee

The Group on Earth Observations (GEO) is the largest and most influential intergovernmental organization in the field of Earth observation. China is one of the founding members of GEO and has served as a co-chair for representing developing countries and the Asia-Pacific region since GEO’s establishment in 2005. This paper offers an in-depth analysis of GEO’s evolution and practices of the GEO over the past eighteen years. It discusses China’s related achievements at three levels: domestic, Asia-Pacific, and international. Furthermore, with a focus on governance mechanisms, project cooperation, public goods, and talent cultivation, the paper outlines China’s future engagement in global governance within GEO, aiming to accelerate integration into the global innovation network and collaborate in building a global community of science and technology.

Schlüsselwort

Group on Earth Observations;Global Earth Observation System of Systems;data sharing;knowledge service;earth intelligence;public goods;capacity building;global governance;a human community with a shared future

References

  1. 1.
    Aitsi-Selmi A, Egawa S, Sasaki H, Wannous C and Murray V. 2015. The Sendai framework for disaster risk reduction: renewing the global commitment to people’s resilience, health, and well-being. International Journal of Disaster Risk Science, 6(2): 164-176
  2. 2.
    Anderson K, Ryan B, Sonntag W, Kavvada A and Friedl L. 2017. Earth observation in service of the 2030 Agenda for Sustainable Development. Geo-Spatial Information Science, 20(2): 77-96
  3. 3.
    Bai Y Q, Di L P, Nebert D D, Chen A J, Wei Y X, Cheng X A, Shao Y Z, Shen D Y, Shrestha R and Wang H L. 2012. GEOSS component and service registry: design, implementation and lessons learned. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(6): 1678-1686
  4. 4.
    Becker-Reshef I, Justice C, Whitcraft A K and Jarvis I. 2018. Geoglam: a geo initiative on global agricultural monitoring//IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia: IEEE: 8155-8157
  5. 5.
    Boldrini E, Nativi S, Hradec J, Santoro M, Mazzetti P and Craglia M. 2023. GEOSS Platform data content and use. International Journal of Digital Earth, 16(1): 715-740
  6. 6.
    Caprotti F, Cowley R, Datta A, Broto V C, Gao E, Georgeson L, Herrick C, Odendaal N and Joss S. 2017. The New Urban Agenda: key opportunities and challenges for policy and practice. Urban Research and Practice, 10(3): 367-378
  7. 7.
    Chen J, Chen L J, Chen F, Ban Y F, Li S N, Han G, Tong X H, Liu C, Stamenova V and Stamenov S. 2021. Collaborative validation of GlobeLand30: methodology and practices. Geo-Spatial Information Science, 24(1): 134-144
  8. 8.
    Craglia M, Hradec J, Nativi S and Santoro M. 2017. Exploring the depths of the global earth observation system of systems. Big Earth Data, 1(1/2): 21-46
  9. 9.
    GEO. 2023a. Member governments. [2023-12-16].
  10. 10.
    GEO. 2023b. Earth intelligence for all. [2023-12-16].
  11. 11.
    Gonzalez A, Vihervaara P, Balvanera P, Bates A E, Bayraktarov E, Bellingham P J, Bruder A, Campbell J, Catchen M D, Cavender-Bares J, Chase J, Coops N, Costello M J, Czúcz B, Delavaud A, Dornelas M, Dubois G, Duffy E J, Eggermont H, Fernandez M, Fernandez N, Ferrier S, Geller G N, Gill M, Gravel D, Guerra C A, Guralnick R, Harfoot M, Hirsch T, Hoban S, Hughes A C, Hugo W, Hunter M E, Isbell F, Jetz W, Juergens N, Kissling W D, Krug C B, Kullberg P, Le Bras Y, Leung B, Londoño-Murcia M C, Lord J M, Loreau M, Luers A, Ma K P, MacDonald A J, Maes J, McGeoch M, Mihoub J B, Millette K L, Molnar Z, Montes E, Mori A S, Muller-Karger F E, Muraoka H, Nakaoka M, Navarro L, Newbold T, Niamir A, Obura D, O’Connor M, Paganini M, Pelletier D, Pereira H, Poisot T, Pollock L J, Purvis A, Radulovici A, Rocchini D, Roeoesli C, Schaepman M, Schaepman-Strub G, Schmeller D S, Schmiedel U, Schneider F D, Shakya M M, Skidmore A, Skowno A L, Takeuchi Y, Tuanmu M N, Turak E, Turner W, Urban M C, Urbina-Cardona N, Valbuena R, Van de Putte A, van Havre B, Wingate V R, Wright E and Torrelio C Z. 2023. A global biodiversity observing system to unite monitoring and guide action. Nature Ecology and Evolution, 7(12): 1947-1952
  12. 12.
    Gu X F, Zhou X, Zhang S M, Shi J C, Liu Q H, Tang X M, Jia L, Tang D L, Li G Q, Niu Z, Yu T, Liu C, Qiu Y B, Zhang C, Liu Y, Liu J L, Zhong B, Zhou J and You D Q. 2018. Asia-Oceania GEOSS: a GEO initiative to implement GEOSS for sustainable development in Asia-Oceania. Journal of Remote Sensing (in chinese), 22(4): 658-671
  13. 13.
    Jing G F. 2020. Analysis of impact of open science on the construction of Global Earth Observation System of Systems. Remote Sensing for Land and Resources, 32(4): 1-7
  14. 14.
    Jungbluth G, Fulton R, Moodie L, Seymour P, Williams M, Wolf L and Zhang J S. 2011. GEONETCast: global satellite data dissemination and the technical and social challenges//Sinha AK, Arctur D, Jackson I and Gundersen LC. Societal Challenges and Geoinformatics. Colorado: Geological Society of America, 482: 77-85 [DOI: )]
  15. 15.
    Klein D, Carazo M P, Doelle M, Bulmer J and Higham A. 2017. The Paris Agreement on Climate Change: Analysis and Commentary. Oxford: Oxford University Press
  16. 16.
    Li G Q, Zhang H Y, Zhang L C, Wang Y Y and Tian C Z. 2016. Development and trend of Earth observation data sharing. Journal of Remote Sensing (in Chinese), 20(5): 979-990
  17. 17.
    Li X S, Lu Q and Jia X X. 2021. Harnessing big earth data to facilitate land degradation neutrality goals—Practices and prospects. Bulletin of Chinese Academy of Sciences, 36(8): 896-903
  18. 18.
    Li Z Y and Chen E X. 2021. Development course of forestry remote sensing in China. Journal of Remote Sensing, 25(1): 292-301
  19. 19.
    Liu Y L, Zhang J, Wang S S, Miao C, Li H, Song W J and Zhang S M. 2022. Global ecosystems and environment observation: annual report from China (GEOARC): 2012—2021. National Remote Sensing Bulletin, 26(10): 2106-2120
  20. 20.
    Mitchell A and Hoekman D H. 2014. Review of Priority Research & Development Topics: R&D related to the use of Remote Sensing in National Forest Monitoring. Geneva: GEO-GFOI
  21. 21.
    Nativi S, Mazzetti P, Santoro M, Papeschi F, Craglia M and Ochiai O. 2015. Big Data challenges in building the Global Earth Observation System of Systems. Environmental Modelling and Software, 68: 1-26
  22. 22.
    Pirrone N, Cinnirella S, Sprovieri F, Hedgecock I M, D’Amore F, Bencardino M and De Simone F. 2022. The Global Observation System for Mercury (GOS 4 M)//Kavvada A, Cripe D and Friedl L, eds. Earth Observation Applications and Global Policy Frameworks. Washington: American Geophysical Union: 177-186
  23. 23.
    Prakash M, Ramage S, Kavvada A and Goodman S. 2020. Open earth observations for sustainable urban development. Remote Sensing, 12(10): 1646
  24. 24.
    Roncella R, Zhang L C, Boldrini E, Santoro M, Mazzetti P and Nativi S. 2023. Publishing China satellite data on the GEOSS Platform. Big Earth Data, 7(2): 398-412
  25. 25.
    Sachs J D. 2012. From millennium development goals to sustainable development goals. The Lancet, 379(9832): 2206-2211
  26. 26.
    Scholes R J, Walters M, Turak E, Saarenmaa H, Heip C H, Tuama É Ó, Faith D P, Mooney H A, Ferrier S, Jongman R H, Harrison I J, Yahara T, Pereira H M, Larigauderie A and Geller G. 2012. Building a global observing system for biodiversity. Current Opinion in Environmental Sustainability, 4(1): 139-146
  27. 27.
    Shi P J. 2023. Strengthening national natural disaster risk assessment and regionalization to ensure high-quality economic and social development. Disaster Reduction in China, (1): 10-13
  28. 28.
    Weng Q H. 2014. Global Urban Monitoring and Assessment through Earth Observation. Boca Raton: CRC Press
  29. 29.
    Xu G H. 1994. Application and prospect on remote sensing and resources and environment information system. Remote Sensing of Environment China, 9(4): 241-246
  30. 30.
    Xu G H, Ge Q S, Gong P, Fang X Q, Cheng B B, He B, Luo Y and Xu B. 2013. Societal response to challenges of global change and human sustainable development. Chinese Science Bulletin, 58(25): 3161-3168
  31. 31.
    Xu G H, Liu Q H, Chen L F and Liu L Y. 2016. Remote sensing for China’s sustainable development: opportunities and challenges. Journal of Remote Sensing, 20(5): 679-688
  32. 32.
    Yue Q R, Lu X Z, Xu Z, Shi Z Q, Tian Y, Gu D L and Wang G. 2023. The "Risk Source-Risk Exposure-Mitigation Force" theoretical framework for urban safety. Engineering Mechanics, 40: 1-9
  33. 33.
    Zhang L C, Li G Q and Li J. 2021. Construction and service of national Earth Observation scientific data Center. Satellite Application, (7): 8-14
  34. 34.
    Zhao L M, Miao C, Xing J, Li G Q, Hou Y K, Liu C, Li J G, Chen X F, Liu J, Yang J, Zhou X and Gu X F. 2022. Earth observation knowledge hub: implications, key technologies and perspectives. National Remote Sensing Bulletin, 1-20
  35. 35.
    Zhao Q G, Huang G Q and Ma Y Q. 2016. The ecological environment conditions and construction of an ecological civilization in China. Acta Ecologica Sinica, 36(19): 6328-6335

Lesen Sie die ganze Passage

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website