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Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India

Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India

Swagata Ghosh, Krishna Vidhata N., Sunil Kumar, Kousik Midya
Copyright: © 2021 |Pages: 34
ISBN13: 9781799822493|ISBN10: 1799822494|ISBN13 Softcover: 9781799822509|EISBN13: 9781799822516
DOI: 10.4018/978-1-7998-2249-3.ch008
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MLA

Ghosh, Swagata, et al. "Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India." Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, et al., IGI Global, 2021, pp. 217-250. https://doi.org/10.4018/978-1-7998-2249-3.ch008

APA

Ghosh, S., N., K. V., Kumar, S., & Midya, K. (2021). Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India. In J. Tenedório, R. Estanqueiro, & C. Henriques (Eds.), Methods and Applications of Geospatial Technology in Sustainable Urbanism (pp. 217-250). IGI Global. https://doi.org/10.4018/978-1-7998-2249-3.ch008

Chicago

Ghosh, Swagata, et al. "Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India." In Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, Rossana Estanqueiro, and Cristina Delgado Henriques, 217-250. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2249-3.ch008

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Abstract

The chapter has highlighted the adverse impact of conversion of natural land cover into urban concrete over inter-seasonal variation of land surface temperature (LST) in Faridabad district which is a major threat for sustainable urbanism. Apart from high LST in the dense urban area built-up in Faridabad city, inter-seasonal variation of LST has been observed in dry deciduous forested areas due to defoliation, fallow land, and over-grazed land in rural surrounding areas. Compared to NDVI, NDBI has significant positive and stable correlation with LST in all seasons (Pearson index: 0.35 to 0.60). Weaker correlation (Pearson index: 0.02 to 0.48) between NDVI and LST accounts for the seasonal impact over NDVI due to defoliation and agricultural practices over the study area. Overall, it can be remarked that image-based spectral indices and thermal band can be used for the evaluating thermal environmental contrast across seasons. Use of in situ measurement with good network of meteorological stations can validate satellite-derived LST better and increase the accuracy of the study.

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