Publications

Rani, S; Mal, S (2022). Trends in land surface temperature and its drivers over the High Mountain Asia. EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 25(3), 717-729.

Abstract
The present study estimates spatial and temporal (seasonal/annual) trends in daytime land surface tem-perature (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) dur-ing 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 warm-ing (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 anthro-pogenic factors on LST with fine resolution data to improve the understanding of its spatio-temporal dynamics.(c) 2022 National Authority of Remote Sensing & Space Science. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

DOI:
10.1016/j.ejrs.2022.04.005

ISSN:
2090-2476