Abstract:
Land use/land cover (LULC) change plays one of the major key roles in environmental
impacts, and it is common to all nations. Monitoring this LULC change together with
quantifications of environmental changes is an important concept in the Sustainable
Development process. Therefore, remote sensing and geographic information system
technique (RS & GIS) was used to exploit the variation of the LULC pattern, and satellite
images of five years between 1997 and 2019 were used in this research. LULC changes in the
Kaduwela Divisional Secretariat area were analysed using the Maximum likelihood
supervised classification method and found that there was a significant decrease in vegetation
cover due to rapid urbanisation. To assess landform changes and their impacts on the
environment, normalised difference vegetation index (NDVI), normalised difference built-up
index (NDBI), and land surface temperature (LST) were used. Further, relationships inbetween
them were used to analyse the correlations between NDVI and LST, NDBI and LST,
and NDVI and NDBI, and it was noticed that negative, positive, and negative correlations
respectively among them. It indicates that healthy vegetation can decrease the land surface
temperature, whereas built-up will enhance land surface temperature. More than 70% of
overall accuracy for LULC classification was able to achieve in this study.
Citation:
Gamsavi, K., Gajan, S., Jananthanan, B. Dissanayake, D.M.D.O.K., & Chaminda, S.P. (2021). Remote sensing and GIS approach to assess landform changes in Kaduwela divisional secretariat area and its impacts to the environment. In D.M.D.O.K. Dissanayake & C.L. Jayawardena (Eds.), Proceedings of International Symposium on Earth Resources Management & Environment 2021 (pp. 91-98). Department of Earth Resources Engineering, University of Moratuwa. https://uom.lk/sites/default/files/ere/files/ISERME%202021%20Proceedings_2.pdf