Assessment of urban growth effects on green space and surface temperature in Doon Valley, Uttarakhand, India

Examining the spatio-temporal relationship between LST, NDVI, NDBI and LULC change of Pachhua dun, Dehradun, Uttarakhand (India)

“…Such high mean LST value experienced by open scrubland, ephemeral river bed, and agricultural land indicates that the radiation-exposed soil and Land have greater thermal properties and emit energy, which contributes to the warming of the environment. Thus, the analysis achieves consistency and coherence with the result obtained by Jana et al (Jana et al, 2020b). In the study area, the evapotranspiration (ET) surfaces such as agricultural land, open scrubland, and vegetation cover were primarily replaced by non-(ET) surfaces like BUAs in LST increase between 1989-2020.…”

“…The results showed that, between 1989 and 2020, a significant portion of the Agricultural land area had been converted into BUAs. At the same time, vegetation cover and open scrubland have been largely converted into agricultural land before it gets converted into built-up, supported by (Agarwal et al, 2019;Gupta, n.d.;Jana et al, 2020a;Patidar & Sankhla, 2015;Taloor et al, 2020;Thapa & Bahuguna, 2021). Based on the results statistics, the major development is directly associated with uncontrolled rapid urbanization and population growth, which further demands land use for several anthropogenic activities like residential, commercial, industrial, and infrastructural development and other concrete-led development.…”

“…tools have enabled researchers to detect and analyse such changes more efficiently (Bhat et al, 2017), so that more precise research outcome data could be obtained. Several previous studies on the temperature trends of Dehradun city and Doon Valley (Agarwal et al, 2019;Jana et al, 2020a;Patidar & Sankhla, 2015;Taloor et al, 2020) have also highlighted the cause and consequences of LST rise. The major purpose of this study is to determine the NDVI, SLOPE, and NDBI values by employing change detection; to identify the area of change and by analysing the spatiotemporal variation in LULC, LST, NDVI, and NDBI; to evaluate the strength of the association between LST and NDVI, SLOPE, and NDBI using the correlation coefficient (r).…”

“…When calculating the surface energy budget, evaluating the LULCC, and investigating other aspects of the earth's surface, the land surface temperature (LST) is an essential element and an indispensable factor (Guha et al, 2020a), the conversion of the marshland primarily influences the LST increase into agricultural land or bare land; and the conversion of the vegetation cover into the built-up area (BUAs) (Mallick et al, n.d.). In contrast to vegetated areas, impermeable surfaces shift the momentum balance between the LST and surrounding atmosphere, which changes heat exchange patterns (Jana et al, 2020a). Numerous previously published studies and numerous scientists from various areas proved that LULC has an influence on LST (Guha & Govil, 2021;Pal & Ziaul, 2017a;Santosa, 2016).…”

Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data

“…Recently published works mostly cater to analysing the LCLU changes in the Doon valley between 2000 and 2009 (Tiwari & Khanduri, 2011 ). Jana et al ( 2020 ) used two Landsat images from 2000 and 2019 to investigate the impact of spatio-temporal urban expansion on green spaces and thermal behaviour in the Doon valley. Piyoosh and Ghosh ( 2018 ) developed new indices: modified normalised difference soil index (MNDSI) and normalised ratio urban index (NRUI).…”