• Journal of Geo-information Science
  • Vol. 22, Issue 10, 2023 (2020)
Liang GAO1、2, Xin DU1, Qiangzi LI1、*, Hongyan WANG1, Yuan ZHANG1, and Siyuan WANG1、2
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.12082/dqxxkx.2020.200078 Cite this Article
    Liang GAO, Xin DU, Qiangzi LI, Hongyan WANG, Yuan ZHANG, Siyuan WANG. A Near-surface Air Temperature Spatialization Method Integrating Landuse and Soil Moisture Products[J]. Journal of Geo-information Science, 2020, 22(10): 2023 Copy Citation Text show less
    The distribution of meteorological stations and Land cover in study area
    Fig. 1. The distribution of meteorological stations and Land cover in study area
    The flowchart of near-surface air temperature Spatialization
    Fig. 2. The flowchart of near-surface air temperature Spatialization
    Time distribution of data
    Fig. 3. Time distribution of data
    Boxplot of average accuracy parameters of near-surface air temperature spatialization model
    Fig. 4. Boxplot of average accuracy parameters of near-surface air temperature spatialization model
    Near-surface air temperature spatialization model error time series change curve
    Fig. 5. Near-surface air temperature spatialization model error time series change curve
    Distribution of near-surface air temperature spatialization model error in spatial feature
    Fig. 6. Distribution of near-surface air temperature spatialization model error in spatial feature
    Near-surface air temperature distribution compare
    Fig. 7. Near-surface air temperature distribution compare
    Influencing factors average weights of near-surface air temperature
    Fig. 8. Influencing factors average weights of near-surface air temperature
    Influencing factors weights change of Near-surface air temperature
    Fig. 9. Influencing factors weights change of Near-surface air temperature
    Seasonal variations of Near-surface temperature influencing factors average weights
    Fig. 10. Seasonal variations of Near-surface temperature influencing factors average weights
    Boxplot of daily extreme and mean Near-surface temperature statistical parameters
    Fig. 11. Boxplot of daily extreme and mean Near-surface temperature statistical parameters
    Liang GAO, Xin DU, Qiangzi LI, Hongyan WANG, Yuan ZHANG, Siyuan WANG. A Near-surface Air Temperature Spatialization Method Integrating Landuse and Soil Moisture Products[J]. Journal of Geo-information Science, 2020, 22(10): 2023
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