Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/15924
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dc.contributor.authorVerma R.
dc.contributor.authorKundapura S.
dc.date.accessioned2021-05-05T10:28:31Z-
dc.date.available2021-05-05T10:28:31Z-
dc.date.issued2020
dc.identifier.citationRemote Sensing Applications: Society and Environment Vol. 20 , , p. -en_US
dc.identifier.urihttps://doi.org/10.1016/j.rsase.2020.100429
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/15924-
dc.description.abstractIt is of substantial importance, that the green spaces with regards to the urban areas are quantified in a manner that a planned urban area is developed and utilized with best access to vegetation. There exist various factors which affect built-up areas and corresponding neighbourhood like Vegetation Density (VD), Proximity to high vegetation areas (VDP), Built-up Density (BD), Rise of built-up (HT), and Proximity to high built-up density (BDP). In this study using ©JAXA AW3D DSM and above mentioned factors, Urban Weighted Green Index (UWGI) is generated. To understand the UHI effect, Land Surface Temperature (LST) is generated using radiative transfer equation, which is used for portraying relationship between LST and UWGI for 33 zones and different land use (LU) and land cover (LC) classes of Lucknow Development Authority area. Interdependent effect of all factors was compared and it is seen that VD and VP to different rise areas is affecting areas more than RD and RP, in terms of UWGI and LST both. The increase of one unit in UWGI is affecting the decrease of 2.5 ◦C in various LU classes of Lucknow city. © 2020 Elsevier B.V.en_US
dc.titleUrban Weighted Green Index- A study of urban green space in relation to Land Surface Temperature for Lucknow city, Indiaen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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