Journal of Applied Science & Process Engineering Vol. 8, No. 2, 2021 * Corresponding author. Tel.: +8801681934283 E-mail address: nhaque13@urp.kuet.ac.bd; nhaque.kuet13@gmail.com Manuscript History: Received 6 July, 2021, Revised 17 September, 2021, Accepted 19 September, 2021, Published 31 October, 2021 Copyright © 2021 UNIMAS Publisher. This is an open access article under the CC BY-NC-SA 4.0 license. https://doi.org/10.33736/jaspe.3616.2021 e-ISSN: 2289-7771 935 Assessing the Relationship among the Land Surface Features: A Geographic Information System (GIS) and Remote Sensing (RS) Based Approach for City Area Sharmin Siddika a , Md. Nazmul Haque a,* and Mizbah Ahmed Sresto a a Department of Urban and Regional Planning, Khulna University of Engineering & Technology, Khulna- 9203, Bangladesh Abstract Due to climate change and urbanization, it is important to monitor and evaluate the components of the environment. For this reason, ward-22 and ward-27 of the Khulna City Corporation (KCC) area have been selected for the study. This research seeks to identify the existing land use profile and assess the land surface components such as topography, Normalized Difference Buildup Index (NDBI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Salinity Index (NDSI) and Land Surface Temperature (LST) to measure the relationships among the land surface components. The land use land cover map shows that about 59% of ward-22 and 71.5% area of ward-27 are built-up areas. Both of the wards contain little amount of water body, vegetation and open space. Both of the wards have residential land use types with commercial purposes on the periphery. Accordingly, 63.32% and 65% of structures of ward-22 and 27 are pucca. The land surface components reveal that both areas contain lower slopes, less vegetation, less moisture, severe salinity, highly built-up areas, and high land surface temperature. The relationships among the land surface components show that NDVI has a negative relation with LST and NDBI whereas NDVI represents a positive correlation with NDMI. On the other hand, NDBI shows a positive correlation with LST whereas NDMI negatively correlates with LST. NDSI and topography reflect no meaningful relationship between NDBI, NDVI, LST, and NDMI. However, the research findings may be essential to city planners and decision-makers for incorporating better urban management at the micro level concerning climate change. Keywords: Environment, Land use land cover, Land Surface Features, Remote Sensing. 1. Introduction Environmental change made by mankind's exploitation, as well as regional climate changes, have long been a serious problem around the world, particularly in coastal regions due to the susceptibility of their ecosystems [1-3]. Due to urbanization and industrialization, substantial environmental and ecological changes have occurred over the last century, particularly in the last 20 years, raising societal concerns [4]. Land transformation is an important issue in understanding the interaction between humans and the environment since it is driven by both natural and anthropogenic driving forces [5]. The widespread urbanization has harmful repercussions on the Earth's surface,