Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016
Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted to estimate the interannual variations in global LST from 2001 to 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized diff...
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ftunivreading:oai:centaur.reading.ac.uk:81859 2024-09-15T17:48:22+00:00 Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 Song, Zengjng Li, Ruihai Qiu, Ruiyang Liu, Siyao Tan, Chao Li, Qiuping Ge, Wei Han, Xujun Tang, Xuguang Shi, Weiyu Song, Lisheng Yu, Wenping Yang, Hong Ma, Mingguo 2018-12-14 text https://centaur.reading.ac.uk/81859/ https://centaur.reading.ac.uk/81859/1/Song%20et%20al.%202018_Global%20land%20surface%20temperature%20influenced%20by%20vegetation%20cover%20and%20PM2.5%20from%202001%20to%202016.pdf en eng MDPI https://centaur.reading.ac.uk/81859/1/Song%20et%20al.%202018_Global%20land%20surface%20temperature%20influenced%20by%20vegetation%20cover%20and%20PM2.5%20from%202001%20to%202016.pdf Song, Z., Li, R., Qiu, R., Liu, S., Tan, C., Li, Q., Ge, W., Han, X., Tang, X., Shi, W., Song, L., Yu, W., Yang, H. <https://centaur.reading.ac.uk/view/creators/90008801.html> orcid:0000-0001-9940-8273 and Ma, M. (2018) Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016. Remote Sensing, 10 (12). 2034. ISSN 2072-4292 doi: https://doi.org/10.3390/rs10122034 <https://doi.org/10.3390/rs10122034> cc_by_4 Article PeerReviewed 2018 ftunivreading https://doi.org/10.3390/rs10122034 2024-06-25T15:02:19Z Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted to estimate the interannual variations in global LST from 2001 to 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized difference vegetation index (NDVI) products and fine particulate matter (PM2.5) data from the Atmospheric Composition Analysis Group. The results showed that LST, seasonally integrated normalized difference vegetation index (SINDVI), and PM2.5 increased by 0.17 K, 0.04, and 1.02 �g/m3 in the period of 2001–2016, respectively. During the past 16 years, LST showed an increasing trend in most areas, with two peaks of 1.58 K and 1.85 K at 72�N and 48�S, respectively. Marked warming also appeared in the Arctic. On the contrary, remarkable decrease in LST occurred in Antarctic. In most parts of the world, LST was affected by the variation in vegetation cover and air pollutant, which can be detected by the satellite. In the Northern Hemisphere, positive relations between SINDVI and LST were found; however, in the Southern Hemisphere, negative correlations were detected. The impact of PM2.5 on LST was more complex. On the whole, LST increased with a small increase in PM2.5 concentrations but decreased with a marked increase in PM2.5. The study provides insights on the complex relationship between vegetation cover, air pollution, and land surface temperature. Article in Journal/Newspaper Antarc* Antarctic CentAUR: Central Archive at the University of Reading Remote Sensing 10 12 2034 |
institution |
Open Polar |
collection |
CentAUR: Central Archive at the University of Reading |
op_collection_id |
ftunivreading |
language |
English |
description |
Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted to estimate the interannual variations in global LST from 2001 to 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized difference vegetation index (NDVI) products and fine particulate matter (PM2.5) data from the Atmospheric Composition Analysis Group. The results showed that LST, seasonally integrated normalized difference vegetation index (SINDVI), and PM2.5 increased by 0.17 K, 0.04, and 1.02 �g/m3 in the period of 2001–2016, respectively. During the past 16 years, LST showed an increasing trend in most areas, with two peaks of 1.58 K and 1.85 K at 72�N and 48�S, respectively. Marked warming also appeared in the Arctic. On the contrary, remarkable decrease in LST occurred in Antarctic. In most parts of the world, LST was affected by the variation in vegetation cover and air pollutant, which can be detected by the satellite. In the Northern Hemisphere, positive relations between SINDVI and LST were found; however, in the Southern Hemisphere, negative correlations were detected. The impact of PM2.5 on LST was more complex. On the whole, LST increased with a small increase in PM2.5 concentrations but decreased with a marked increase in PM2.5. The study provides insights on the complex relationship between vegetation cover, air pollution, and land surface temperature. |
format |
Article in Journal/Newspaper |
author |
Song, Zengjng Li, Ruihai Qiu, Ruiyang Liu, Siyao Tan, Chao Li, Qiuping Ge, Wei Han, Xujun Tang, Xuguang Shi, Weiyu Song, Lisheng Yu, Wenping Yang, Hong Ma, Mingguo |
spellingShingle |
Song, Zengjng Li, Ruihai Qiu, Ruiyang Liu, Siyao Tan, Chao Li, Qiuping Ge, Wei Han, Xujun Tang, Xuguang Shi, Weiyu Song, Lisheng Yu, Wenping Yang, Hong Ma, Mingguo Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
author_facet |
Song, Zengjng Li, Ruihai Qiu, Ruiyang Liu, Siyao Tan, Chao Li, Qiuping Ge, Wei Han, Xujun Tang, Xuguang Shi, Weiyu Song, Lisheng Yu, Wenping Yang, Hong Ma, Mingguo |
author_sort |
Song, Zengjng |
title |
Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
title_short |
Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
title_full |
Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
title_fullStr |
Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
title_full_unstemmed |
Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016 |
title_sort |
global land surface temperature influenced by vegetation cover and pm2.5 from 2001 to 2016 |
publisher |
MDPI |
publishDate |
2018 |
url |
https://centaur.reading.ac.uk/81859/ https://centaur.reading.ac.uk/81859/1/Song%20et%20al.%202018_Global%20land%20surface%20temperature%20influenced%20by%20vegetation%20cover%20and%20PM2.5%20from%202001%20to%202016.pdf |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://centaur.reading.ac.uk/81859/1/Song%20et%20al.%202018_Global%20land%20surface%20temperature%20influenced%20by%20vegetation%20cover%20and%20PM2.5%20from%202001%20to%202016.pdf Song, Z., Li, R., Qiu, R., Liu, S., Tan, C., Li, Q., Ge, W., Han, X., Tang, X., Shi, W., Song, L., Yu, W., Yang, H. <https://centaur.reading.ac.uk/view/creators/90008801.html> orcid:0000-0001-9940-8273 and Ma, M. (2018) Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016. Remote Sensing, 10 (12). 2034. ISSN 2072-4292 doi: https://doi.org/10.3390/rs10122034 <https://doi.org/10.3390/rs10122034> |
op_rights |
cc_by_4 |
op_doi |
https://doi.org/10.3390/rs10122034 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
12 |
container_start_page |
2034 |
_version_ |
1810289517266993152 |