• Journal of Geo-information Science
  • Vol. 22, Issue 3, 638 (2020)
Peilin LI1、1, Xiaoping LIU1、1、*, Yinghuai HUANG1、1, and Honghui ZHANG2、2
Author Affiliations
  • 1School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • 1中山大学地理科学与规划学院,广州 510275
  • 2Guangdong Guodi Planning Technology Company Limited, Guangzhou 510075, China
  • 2广东国地规划科技股份有限公司,广州 510075
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    DOI: 10.12082/dqxxkx.2020.190047 Cite this Article
    Peilin LI, Xiaoping LIU, Yinghuai HUANG, Honghui ZHANG. Mapping Impervious Surface Dynamics of Guangzhou Downtown based on Google Earth Engine[J]. Journal of Geo-information Science, 2020, 22(3): 638 Copy Citation Text show less
    Temporal distribution of the Landsat imagery used in this study
    Fig. 1. Temporal distribution of the Landsat imagery used in this study
    Technical flowchart of impervious surface mapping
    Fig. 2. Technical flowchart of impervious surface mapping
    Comparison of the mapping results: before and after integrating NDVI and conducting temporal consistency check
    Fig. 3. Comparison of the mapping results: before and after integrating NDVI and conducting temporal consistency check
    Accuracy of impervious surface mapping by year
    Fig. 4. Accuracy of impervious surface mapping by year
    Mapping results of the impervious surface in Guangzhou downtown from 2000 to 2017
    Fig. 5. Mapping results of the impervious surface in Guangzhou downtown from 2000 to 2017
    Zoom-in views of typical urbanized areas
    Fig. 6. Zoom-in views of typical urbanized areas
    Annual impervious surface area of Guangzhou downtown
    Fig. 7. Annual impervious surface area of Guangzhou downtown
    Comparison of our impervious surface mapping accuracy with those of Gong[31] and Liu[32]
    Fig. 8. Comparison of our impervious surface mapping accuracy with those of Gong[31] and Liu[32]
    Comparison of our impervious surface mapping results with those of Gong[31]and Liu[32]
    Fig. 9. Comparison of our impervious surface mapping results with those of Gong[31]and Liu[32]
    类别自变量q
    自然环境因子高程0.2432
    坡度0.1602
    到水体的距离0.0044
    交通因子道路密度0.1918
    到地铁站的距离0.0601
    到公交站的距离0.1591
    服务设施因子购物场所密度0.1785
    餐饮场所密度0.1371
    医疗机构密度0.1165
    学校密度0.1282
    Table 1. Effect of various factors on the impervious surface expansion
    Peilin LI, Xiaoping LIU, Yinghuai HUANG, Honghui ZHANG. Mapping Impervious Surface Dynamics of Guangzhou Downtown based on Google Earth Engine[J]. Journal of Geo-information Science, 2020, 22(3): 638
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