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Seasonal Contrast of Land Surface Temperature in Faridabad: An Urbanized District of Haryana, India
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Author(s): Swagata Ghosh (Amity Institute of Geoinformatics and Remote Sensing (AIGIRS), Amity University, Noida, India), Krishna Vidhata N. (Amity Institute of Geoinformatics and Remote Sensing (AIGIRS), Amity University, Noida, India), Sunil Kumar (Amity Institute of Geoinformatics and Remote Sensing (AIGIRS), Amity University, Noida, India)and Kousik Midya (Department of Electronics and Communication Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India)
Copyright: 2021
Pages: 34
Source title:
Methods and Applications of Geospatial Technology in Sustainable Urbanism
Source Author(s)/Editor(s): José António Tenedório (Universidade NOVA de Lisboa, Portugal), Rossana Estanqueiro (Universidade NOVA de Lisboa, Portugal)and Cristina Delgado Henriques (Universidade de Lisboa, Portugal)
DOI: 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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