Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China
Land surface temperature (LST) is an important parameter that affects the water cycle, environmental changes, and energy balance at global and regional scales. Herein, a time series analysis was conducted to estimate the monthly, seasonal, and interannual variations in LST during 2001–2019 in the Ta...
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ftdoajarticles:oai:doaj.org/article:94035b5f0f534d7895d2b483a8750f41 2023-05-15T17:36:18+02:00 Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China Alim Abbas Qing He Lili Jin Jinglong Li Akida Salam Bo Lu Yierpanjiang Yasheng 2021-09-01T00:00:00Z https://doi.org/10.3390/rs13193792 https://doaj.org/article/94035b5f0f534d7895d2b483a8750f41 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/19/3792 https://doaj.org/toc/2072-4292 doi:10.3390/rs13193792 2072-4292 https://doaj.org/article/94035b5f0f534d7895d2b483a8750f41 Remote Sensing, Vol 13, Iss 3792, p 3792 (2021) land surface temperature Tarim Basin random forest influencing factor Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13193792 2022-12-31T16:08:24Z Land surface temperature (LST) is an important parameter that affects the water cycle, environmental changes, and energy balance at global and regional scales. Herein, a time series analysis was conducted to estimate the monthly, seasonal, and interannual variations in LST during 2001–2019 in the Tarim Basin, China. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) LST, air temperature, air pressure, relative humidity, wind speed, precipitation, elevation, and land-cover type data, we analyzed the spatio-temporal change characteristics of LST and the influencing factors. High LSTs occurred in the desert and plains and low LSTs occurred in surrounding mountain regions. The highest LST was recorded in July (25.1 °C) and the lowest was in January (−9.5 °C). On a seasonal scale, LST decreased in the order: summer > spring > autumn > winter. Annual LST showed an increasing trend of 0.2 °C/10 a in the desert and mountain areas, while the plains indicated a decreasing trend. In spring and autumn, western regions were dominated by a downward trend, whereas in winter a downward trend occurred in eastern regions. In summer, areas covered by vegetation were dominated by a downward trend, and desert and bare lands were dominated by an upward trend. Random forest (RF) model analysis showed that elevation was the most significant influencing factor (22.1%), followed by mean air temperature (20.1%). Correlation analysis showed that the main climatic factors air temperature, relative humidity, and elevation have a good correlation with the LST. Land-cover type also affected LST; during February–December the lowest LST was observed for permanent glacier snow and the highest was observed in the desert. El Nino and La Nina greatly influenced the LST variations. The North Atlantic Oscillation and Pacific Decadal Oscillation indices were consistent with the mean LST anomaly, indicating their considerable influence on LST variations. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Pacific Remote Sensing 13 19 3792 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
land surface temperature Tarim Basin random forest influencing factor Science Q |
spellingShingle |
land surface temperature Tarim Basin random forest influencing factor Science Q Alim Abbas Qing He Lili Jin Jinglong Li Akida Salam Bo Lu Yierpanjiang Yasheng Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
topic_facet |
land surface temperature Tarim Basin random forest influencing factor Science Q |
description |
Land surface temperature (LST) is an important parameter that affects the water cycle, environmental changes, and energy balance at global and regional scales. Herein, a time series analysis was conducted to estimate the monthly, seasonal, and interannual variations in LST during 2001–2019 in the Tarim Basin, China. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) LST, air temperature, air pressure, relative humidity, wind speed, precipitation, elevation, and land-cover type data, we analyzed the spatio-temporal change characteristics of LST and the influencing factors. High LSTs occurred in the desert and plains and low LSTs occurred in surrounding mountain regions. The highest LST was recorded in July (25.1 °C) and the lowest was in January (−9.5 °C). On a seasonal scale, LST decreased in the order: summer > spring > autumn > winter. Annual LST showed an increasing trend of 0.2 °C/10 a in the desert and mountain areas, while the plains indicated a decreasing trend. In spring and autumn, western regions were dominated by a downward trend, whereas in winter a downward trend occurred in eastern regions. In summer, areas covered by vegetation were dominated by a downward trend, and desert and bare lands were dominated by an upward trend. Random forest (RF) model analysis showed that elevation was the most significant influencing factor (22.1%), followed by mean air temperature (20.1%). Correlation analysis showed that the main climatic factors air temperature, relative humidity, and elevation have a good correlation with the LST. Land-cover type also affected LST; during February–December the lowest LST was observed for permanent glacier snow and the highest was observed in the desert. El Nino and La Nina greatly influenced the LST variations. The North Atlantic Oscillation and Pacific Decadal Oscillation indices were consistent with the mean LST anomaly, indicating their considerable influence on LST variations. |
format |
Article in Journal/Newspaper |
author |
Alim Abbas Qing He Lili Jin Jinglong Li Akida Salam Bo Lu Yierpanjiang Yasheng |
author_facet |
Alim Abbas Qing He Lili Jin Jinglong Li Akida Salam Bo Lu Yierpanjiang Yasheng |
author_sort |
Alim Abbas |
title |
Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
title_short |
Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
title_full |
Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
title_fullStr |
Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
title_full_unstemmed |
Spatio-Temporal Changes of Land Surface Temperature and the Influencing Factors in the Tarim Basin, Northwest China |
title_sort |
spatio-temporal changes of land surface temperature and the influencing factors in the tarim basin, northwest china |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13193792 https://doaj.org/article/94035b5f0f534d7895d2b483a8750f41 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Remote Sensing, Vol 13, Iss 3792, p 3792 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/19/3792 https://doaj.org/toc/2072-4292 doi:10.3390/rs13193792 2072-4292 https://doaj.org/article/94035b5f0f534d7895d2b483a8750f41 |
op_doi |
https://doi.org/10.3390/rs13193792 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
19 |
container_start_page |
3792 |
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