Abstract
There have been multiple studies showing the comparison between land surface temperature—normalized difference built-up index (LST-NDBI) relationship especially in urban areas; however, many of the studies have lower accuracy while comparing LST-NDBI due to lower temporal availability of higher-resolution images particularly those used for LST derivation. The main reason behind this is the solid heterogeneity of land use-land cover (LULC) surfaces due to which LST changes drastically in space as well as in time; hence, it involves measurements with thorough spatial and temporal sampling. In this study, a comparison of the multi-temporal LST-NDBI relationship is done, and also, the further comparison is shown using LULC. The results are in agreement with previous studies which show a strong and positive correlation across the years (r = 0.69, r = 0.64 and r = 0.59 for 2001, 2011 and 2020, respectively). In addition, the LST trend shows the reduction in daytime LST over the years in the summer season which also reaffirms the findings of those very few studies conducted in semiarid regions. These results can help understand the effects of increasing built-up areas and the interclass LULC change on LSTs in urban settings. However, it is recommended that multi-seasonal comparisons will provide a better idea of the LST-NDBI relationship with higher-resolution LST maps.
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Chaudhary, A., Soni, C., Sharma, U., Joshi, N., Sharma, C. (2022). Multi-temporal Analysis of LST-NDBI Relationship with Respect to Land Use-Land Cover Change for Jaipur City, India. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-9113-3_23
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