What is it about?
This study attempts an examination of the pattern of land surface temperature (LST) over four metro cities of India (Mumbai, Chennai, Delhi, and Kolkata) selected based on location and site to examine its relationship with built-up and vegetation. Two different methods, i.e. mono-window algorithm (MWA) and split-window algorithms (SWA) retrieved LST from the Landsat 8 (OLI/TIRS) datasets.
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Why is it important?
Given global warming, to adapt with climate change, and plan urban areas accordingly, it is thought wise to take stock whether to what extent theoretically received controls of outdoor urban surface temperature are effective in influencing its intensity.
Perspectives
An urban geographic perspective is adopted so that urban planners take note of the situation to adopt the biophysical design to safeguard people from increasing temperature and heat generated by built-up areas.
Professor Mohammad Firoz Khan
Jamia Millia Islamia (University)
Read the Original
This page is a summary of: Longitudinal study of land surface temperature (LST) using mono- and split-window algorithms and its relationship with NDVI and NDBI over selected metro cities of India, Arabian Journal of Geosciences, September 2020, Springer Science + Business Media,
DOI: 10.1007/s12517-020-06068-1.
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