CHEN Jun, CHEN Fei, WU Hao, CHEN Lijun, HAN Gang. Internet+ Land Cover Validation: Methodology and Practice[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2225-2232. DOI: 10.13203/j.whugis20180305
Citation: CHEN Jun, CHEN Fei, WU Hao, CHEN Lijun, HAN Gang. Internet+ Land Cover Validation: Methodology and Practice[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2225-2232. DOI: 10.13203/j.whugis20180305

Internet+ Land Cover Validation: Methodology and Practice

Funds: 

The National Natural Science Foundation of China 41231172

The National Natural Science Foundation of China 41631178

More Information
  • Author Bio:

    CHEN Jun, professor, specializes in the theories and methods of land cover mapping, updating and validation. E-mail: chenjun@ngcc.cn

  • Corresponding author:

    CHEN Fei, PhD. E-mail: cfei0618@163.com

    WU Hao, PhD. E-mail: wuhao@ngcc.cn

  • Received Date: August 03, 2018
  • Published Date: December 04, 2018
  • The validation of large-area land cover data is a costly, labor-intensive and time-consuming task with the participation of several experts from different regions and different institutions. Pre-viously, people always used single-machine or off-line software to realize it because of lack of methods and tools which could support online and collaborative validation. Focused on resolving this problem, this paper involves the concept of "Internet+" and technologies of service computing to land cover data validation. Based on this ideal, an "Internet+" oriented service model for land cover data validation is proposed, and then a new online and collaborative validation process is designed. Additionally, to fit the automatic and efficient computing requirements, the LSI(landscape shape index)-based sampling algorithm is put forwarded. At last, we introduce the development of GLCVal platform and an international cooperation practice for validation of GlobeLand30 based on it. The practice is supported by GEO(Group of Earth Observation) and UN-GGIM(the United Nations Initiative on Global Geospatial Information Management), and is promoted enormously by GLCVal platform in the realization of cross-regional cooperation and active participation of experts from different countries. Practice results show the model and algorithm proposed by this paper can provide new idea and method for high resolution land cover data validation in large region, and also increase efficiency of validation.
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