Data for Urban Heat stress Assessment in Delhi-National Capital Region

Published: 2 April 2025| Version 1 | DOI: 10.17632/9vcs96tt4j.1
Contributors:
Manjari Upreti,

Description

The Land Surface Temperature (LST) datasets were acquired at a 16-day interval from the MODIS Aqua satellite from the openly available Google Earth Engine (GEE) platform. The given datasets are the monthly composites for summer (April, May, June) and winter (Nov, Dec, Jan) from 2003 to 2022 for assessing long-term LST dynamics, UHI, intensity, and anomalies in the study area on a seasonal, diurnal, and nocturnal basis. The LST datasets were resampled at 100m spatial resolution using the nearest neighbor resampling technique.

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Institutions

  • Banaras Hindu University
  • Central University of Jharkhand

Categories

Remote Sensing, Seasonal Variation, Urban Climate, Urban Heat Island Effect

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