Work

analysis of the relationship of land surface temperature with modified normalized difference water index and normalized difference built-up index in Hyderabad City, India

Year: 2025

Type: article

Abstract: The study analyses the respective relationships between two independent variables, namely, modified normalized difference water index (MNDWI) and normalized difference built-up index (NDBI), and the dependent variable, land surface temperature (LST) in Hyderabad City, southern India. The study used Landsat data applicable to the dry winter season and Pearson's linear correlation coefficient for the correlation analyses. Results show that the LST values for the respective images are also positively correlated. The study also finds that LST shows a moderate negative relationship with MNDWI (average r = -0.57) and a moderate positive relationship with NDBI (average r =0.55). Because the dry winter season affects urban land surface materials in a particular way, built-up areas tend to enhance LSTs in winter, while in this same season, water surfaces tend to reduce LSTs. The study could contribute significantly to sustainable urban landscape planning.

Source: South African Journal of Geomatics

DOI: 10.4314/sajg.v14i1.9

Authors: Subhanil Guha, Himanshu Govil

Institution: National Institute of Technology Raipur

Language: English

Topic: Urban Heat Island Mitigation

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action

Open Access status: diamond

Funder: U.S. Geological Survey