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The relationship between air temperature and land surface temperature (LST) is widely recognized globally. However, its application and dynamics for specific purposes, such as evaluating land suitability for agriculture, remain poorly understood at the local scale, as land suitability evaluations are generally based on air temperature. This study investigates the correlation between maximum, minimum, and average of air temperatures and LST derived from the JAXA-GCOM-C/SGLI L3 Land Surface Temperature (V3) data across ten climate stations in Banten Province and West Java Province, Indonesia. The analysis from 2020 to 2022 using Google Earth Engine highlights the variations in the strength and direction of these relationships across different specific characteristics of the study area. The results reveal that while LST closely follows the trends of air temperature. This correlation may vary depending on local topography, land cover, and urbanization patterns. Specifically, the correlation between LST and maximum air temperature was found to be 0.73, with an RMSE of 5.82, making LST most accurate in predicting maximum air temperature. The correlation with average air temperature was 0.68, accompanied by an RMSE of 10.69. Meanwhile, the correlation with minimum air temperature was weaker at 0.19, with a higher RMSE of 14.13, indicating that LST is least accurate in predicting minimum air temperature. The findings contribute to the understanding of LST-air temperature dynamics in the region, providing insights for specific applications such as evaluating land suitability for agriculture and conducting other regional climate assessments in Indonesia in the future.

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Analyzing the Relationship Between Local Air Temperature and Land Surface Temperature Using JAXA-GCOM Data in Banten and West Java (2020–2022) with Google Earth Engine

  • 会议论文

  • 发表日期：

    2026年

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  • Destika Cahyana,
  • Vicca Karolinoerita,
  • Rizatus Shofiyati,
  • Putri Septianingrum,
  • Fadhlullah Ramadhani,
  • Trias Sitaresmi,
  • Yuni Widyastuti,
  • Rachmat Abdul Gani,
  • Dia Cahya Wati,
  • Abd Malik A. Madinu,
  • Parwati Sofan

摘要

The relationship between air temperature and land surface temperature (LST) is widely recognized globally. However, its application and dynamics for specific purposes, such as evaluating land suitability for agriculture, remain poorly understood at the local scale, as land suitability evaluations are generally based on air temperature. This study investigates the correlation between maximum, minimum, and average of air temperatures and LST derived from the JAXA-GCOM-C/SGLI L3 Land Surface Temperature (V3) data across ten climate stations in Banten Province and West Java Province, Indonesia. The analysis from 2020 to 2022 using Google Earth Engine highlights the variations in the strength and direction of these relationships across different specific characteristics of the study area. The results reveal that while LST closely follows the trends of air temperature. This correlation may vary depending on local topography, land cover, and urbanization patterns. Specifically, the correlation between LST and maximum air temperature was found to be 0.73, with an RMSE of 5.82, making LST most accurate in predicting maximum air temperature. The correlation with average air temperature was 0.68, accompanied by an RMSE of 10.69. Meanwhile, the correlation with minimum air temperature was weaker at 0.19, with a higher RMSE of 14.13, indicating that LST is least accurate in predicting minimum air temperature. The findings contribute to the understanding of LST-air temperature dynamics in the region, providing insights for specific applications such as evaluating land suitability for agriculture and conducting other regional climate assessments in Indonesia in the future.