Remote Sensing Technology and Application, Volume. 40, Issue 1, 77(2025)

Simulating Solar Radiation based on Multi-source Earth Big Data and Machine Learning

Tongliang WANG, Shaoxiu MA*, Yang GAO, Yulai GONG, Weiqi LIU, and Quangang YOU
Author Affiliations
  • Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou730000, China
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    Figures & Tables(11)
    The process of the experiment
    Extraterrestrial solar radiation and surface solar irradiation
    Schematic diagram of solar radiation data reconstruction (M, D, E, E is the features data, S is the surface solar radiation)
    The simulation accuracy of models with single input
    The simulation accuracy of models with double inputs
    The simulation accuracy of models of three better inputs
    The simulation accuracy of models with full inputs
    Scatter of the simulation results with full inputs
    The simulation results
    • Table 1. Data description

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      Table 1. Data description

      数据来源变量名时间分辨率数据量
      遥感数据云顶气压、云顶温度、夜晚云顶温度等18个数据d1 461
      再分析数据温度、气压、比湿、降水、风速h35 064
      地面变量温度、水汽压、相对湿度、风速、风向d1 461
      地外太阳辐射地外太阳辐射d1 461
      地面太阳辐射地面太阳辐射d1 461
    • Table 2. The model names

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      Table 2. The model names

      模型英文名称及缩写
      支持向量回归Support Vector Regression(SVR)
      随机森林Random Forest(RF)
      梯度提升回归Gradient Boosting Regression(GBR)
      人工神经网络Artificial Neural Network(ANN)
      极限学习机Extreme Learning Machine(ELM)
      卷积神经网络Convolutional Neural Network(CNN)
      长短时记忆网络Long Short-term Memory(LSTM)
      堆叠式长短时记忆网络Stacked Long Short-term Memory(SLSTM)
      双向长短时记忆网络Bidirectional Long Short-term Memory(BLSTM)
      门控循环单元Gated Recurrent Unit(GRU)
      卷积长短时记忆网络Convolutional Long Short-term Memory(CLSTM)
      卷积门控循环单元Convolutional Gated Recurrent Unit(CGRU)
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    Tongliang WANG, Shaoxiu MA, Yang GAO, Yulai GONG, Weiqi LIU, Quangang YOU. Simulating Solar Radiation based on Multi-source Earth Big Data and Machine Learning[J]. Remote Sensing Technology and Application, 2025, 40(1): 77

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    Paper Information

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    Received: Dec. 16, 2022

    Accepted: --

    Published Online: May. 22, 2025

    The Author Email: Shaoxiu MA (shaoxiuma586@163.com)

    DOI:10.11873/j.issn.1004-0323.2025.1.0077

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