Trends in land surface temperature and its drivers over the High Mountain Asia

The present study estimates spatial and temporal (seasonal/annual) trends in daytime land surface temperature (LST) and its drivers (elevation, cloud fraction (CF), atmospheric water vapor (AWV), normalized difference vegetation index (NDVI), and snow cover area (SCA)) over the High Mountain Asia (H...

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Main Authors: Seema Rani, Suraj Mal
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982322000515
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author Seema Rani
Suraj Mal
author_facet Seema Rani
Suraj Mal
author_sort Seema Rani
collection DOAJ
description The present study estimates spatial and temporal (seasonal/annual) trends in daytime land surface temperature (LST) and its drivers (elevation, cloud fraction (CF), atmospheric water vapor (AWV), normalized difference vegetation index (NDVI), and snow cover area (SCA)) over the High Mountain Asia (HMA) during 2001–2019 using MODIS remote sensing data. The findings of the study showed mixed trends in LST in the region with intra-regional variations. Overall, the warming in the region is attributed to increasing AWV and NDVI and declining CF and SCA. The study also found evidence of elevation-dependent warming (EDW) (4500–5500 m AMSL) in some regions. However, the same conclusion cannot be drawn in all the sub-regions of HMA, suggesting the need to explore the effects of additional natural and anthropogenic factors on LST with fine resolution data to improve the understanding of its spatio-temporal dynamics.
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spelling doaj.art-934885205a794124af86111dec0eca012022-12-22T03:25:14ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232022-12-01253717729Trends in land surface temperature and its drivers over the High Mountain AsiaSeema Rani0Suraj Mal1Department of Geography, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India; Corresponding author.Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi, IndiaThe present study estimates spatial and temporal (seasonal/annual) trends in daytime land surface temperature (LST) and its drivers (elevation, cloud fraction (CF), atmospheric water vapor (AWV), normalized difference vegetation index (NDVI), and snow cover area (SCA)) over the High Mountain Asia (HMA) during 2001–2019 using MODIS remote sensing data. The findings of the study showed mixed trends in LST in the region with intra-regional variations. Overall, the warming in the region is attributed to increasing AWV and NDVI and declining CF and SCA. The study also found evidence of elevation-dependent warming (EDW) (4500–5500 m AMSL) in some regions. However, the same conclusion cannot be drawn in all the sub-regions of HMA, suggesting the need to explore the effects of additional natural and anthropogenic factors on LST with fine resolution data to improve the understanding of its spatio-temporal dynamics.http://www.sciencedirect.com/science/article/pii/S1110982322000515Land surface temperatureElevation-dependent warmingHigh Mountain Asia
spellingShingle Seema Rani
Suraj Mal
Trends in land surface temperature and its drivers over the High Mountain Asia
Egyptian Journal of Remote Sensing and Space Sciences
Land surface temperature
Elevation-dependent warming
High Mountain Asia
title Trends in land surface temperature and its drivers over the High Mountain Asia
title_full Trends in land surface temperature and its drivers over the High Mountain Asia
title_fullStr Trends in land surface temperature and its drivers over the High Mountain Asia
title_full_unstemmed Trends in land surface temperature and its drivers over the High Mountain Asia
title_short Trends in land surface temperature and its drivers over the High Mountain Asia
title_sort trends in land surface temperature and its drivers over the high mountain asia
topic Land surface temperature
Elevation-dependent warming
High Mountain Asia
url http://www.sciencedirect.com/science/article/pii/S1110982322000515
work_keys_str_mv AT seemarani trendsinlandsurfacetemperatureanditsdriversoverthehighmountainasia
AT surajmal trendsinlandsurfacetemperatureanditsdriversoverthehighmountainasia