Journal of Geo-information Science, Volume. 22, Issue 10, 2023(2020)

A Near-surface Air Temperature Spatialization Method Integrating Landuse and Soil Moisture Products

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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    Figures & Tables(11)
    The distribution of meteorological stations and Land cover in study area
    The flowchart of near-surface air temperature Spatialization
    Time distribution of data
    Boxplot of average accuracy parameters of near-surface air temperature spatialization model
    Near-surface air temperature spatialization model error time series change curve
    Distribution of near-surface air temperature spatialization model error in spatial feature
    Near-surface air temperature distribution compare
    Influencing factors average weights of near-surface air temperature
    Influencing factors weights change of Near-surface air temperature
    Seasonal variations of Near-surface temperature influencing factors average weights
    Boxplot of daily extreme and mean Near-surface temperature statistical parameters
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    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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    Paper Information

    Received: Feb. 17, 2020

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: Qiangzi LI (liqz@aircas.ac.cn)

    DOI:10.12082/dqxxkx.2020.200078

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