Statistical modeling for land surface temperature in Borneo island from 2000 to 2019
Increased temperature is one of the signals of global warming. Trends in land surface temperature can be used to measure climate change. This research aimed to investigate the variation of land surface temperature in Borneo island using a cubic spline method and a multivariate regression model. The...
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| Main Authors: | , , , |
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| 格式: | Article |
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Springer Wien
2022
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| 在线阅读: | http://eprints.um.edu.my/33480/ |
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| 总结: | Increased temperature is one of the signals of global warming. Trends in land surface temperature can be used to measure climate change. This research aimed to investigate the variation of land surface temperature in Borneo island using a cubic spline method and a multivariate regression model. The island was divided into 8 regions each comprising 9 subregions. Land surface temperatures for each subregion from 2000 to 2019 were obtained from the National Aeronautics and Space Administration Moderate Resolution Imaging Spectroradiometer database. The average increase in temperature was 0.2 degrees C/decade with a 95% confidence interval of (0.14, 0.27) degrees C. The changes differed by region; a significant increase was seen in Sarawak, North Kalimantan, West Kalimantan, West-central Kalimantan, and Central-east Kalimantan region; a slight decrease in Sabah and Brunei Darussalam (Sabah and Brunei) region; a slight increase in East Kalimantan; and a stable trend in South Kalimantan. |
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