Correlation Analysis of Land Surface Temperature and Built-up Indices for Metropolitan Cites in Tamil Nadu
DOI:
https://doi.org/10.15662/IJEETR.2026.0802154Keywords:
ArcGIS, LST, BAEI, NDBI, NBI, NDCCIAbstract
This study combines constructed multispectral indices, designed to enhance satellite imagery, to introduce new urban classification systems. The indices tested are New Construction Index (NBI), Built-up Area Exploitation Index (BAEI) and Normalized Differential Concrete Condition Index (NDCCI), Normalized Difference Built-up Index (NDBI).
Landsat level 1 data covers the cities of Chennai, Coimbatore, Madurai, and Trichy. Four major metropolitan cities has been taken and was compared for the following indices, The built-up area extraction index is a tool used in remote sensing and geographic information systems (GIS) to identify and delineate areas that have been developed or urbanized, The importance of a Built-Up Area Extraction Index provides quantitative information about the extent and spatial distribution of built-up areas within urban environments.
The "Normalized Difference Concrete Condition Index" (NDCCI) is a specific index tailored to identifying concrete-built structures within urban areas, derived from remote sensing data, particularly satellite imagery. Land surface temperature (LST) is a fundamental parameter in various fields such as meteorology, climatology, environmental science, agriculture, urban planning, and public health.
The New Built-Up Index (NBI) holds significance due to its ability to provide updated and refined information about built-up areas within urban environments. BAEI, NBI, NDBI and NDCCI and its relationship with LST
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