Vol. 10, Special Issue 12 (2021)

Author(s):
SP Shinde, VN Barai, AA Atre and BK Gavit

Abstract:
The study aims at the surface temperature of urbanization, Non-urban heat island (NUHI) and urban heat island, an important factor for heat changes that affect the surface of the earth. Therefore, due to local and global environmental changes and man-made operations, so many years of Buchakewadi watershed land surface temperatures are rising. The estimation of urban heat island, NDVI, and NDBI indices was calculated using GEE, Machine Learning Algorithm also remote sensing data. In this paper, the relationship and correlation between the LST, NDVI and NDBI indices have been established for the estimation of the surface temperature of the Buchakewadi watershed situated in Junnar block of Pune district of Maharashtra State. The NDVI and NDBI indices have been estimated using the Machine Learning Algorithm and satellite data. The GEE platform has provided easy access to all satellite data with a java script algorithm for analysis and LST relationship between the built-up area and the vegetative land. Various urban thermal islands (UHIs) have demarcated as higher temperatures in urban areas within village borders due to more man-made activities and climate change factors. The UHI value threshold for 2015 was measured at 43.04 °C and in 2019 at 44.68 °C. The relationship between LST–NDVI and LST–NDBI was identified quantitatively by a correlation analysis based on the algorithm and the GEE platform. LST shows a strong negative correlation (−0.41 for 2015 and −0.57 for 2019) with NDVI and a strong positive correlation (0.31 for 2015 and 0.71 for 2019) with NDBI throughout the Buchakewadi watershed. The non-UHI zones (green areas and water bodies) remain almost unchanged if any change is assumed to be very little altered, but the only UHI zones are in severe heat stress due to urban air pollution. The study field results can help to the urban, agricultural and ecological planners to decide on the sustainable practices of ecological and climate change.