The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 783–790, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-783-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 783–790, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-783-2021

  29 Jun 2021

29 Jun 2021

QUALITY INSPECTION AND COMMON ISSUES ANALYSIS OF 10 METER RESOLUTION GLOBAL LAND COVER DATA

W. J. Xie, H. P. Chen, L. B. Lv, Y. H. Chen, and M. Li W. J. Xie et al.
  • National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, China

Keywords: Land Cover, GLC 10, Quality Inspection, Analysis of Quality Issues, Inspection Contents, Quality Improvement

Abstract. In order to better carry out the environmental monitoring and resource protection, the 10 meter resolution global land cover data (hereinafter referred to as the GLC 10 data) came into being. The production mode of GLC 10 data is to use vector data, topographic map and other related reference data to get land cover based on digital orthophoto. GLC 10 data is a new type of remote sensing data and its classification system and classification index are also set according to the needs of a new project. Therefore, how to verify and control the quality of this kind of data is an urgent issue to be solved. According to the particularity of GLC 10 data and the new requirements of quality inspection technology, this paper puts forward a set of quality inspection contents and methods of GLC 10 data for large-scale production. And through the way of software automatic inspection combined with human-computer interaction, the inspection requirements are summarized one by one. Then, according to the actual quality inspection work from 2018 to 2020, the common quality issues of GLC 10 data are analyzed and sorted out, which can provide technical reference for the inspection and quality control of GLC 10 data.