ANALYSIS OF THE IMPACT OF LAND COVER CHANGE AND LAND SURFACE TEMPERATURE (LST) ON ENVIRONMENTAL CRITICALITY IN BANDUNG BASIN

• Main Author: Elma Cantika Yasmin, Annida
• Format: Final Project
• Language: Indonesia
• Subjects: Geologi, hidrologi & meteorologi
• Online Access: https://digilib.itb.ac.id/gdl/view/86204
• Institution: Institut Teknologi Bandung

The Bandung Basin or also known as Greater Bandung is one of the metropolitan areas in West Java Province. The existence of population growth and rapid infrastructure development in the Bandung Basin Area can have a negative impact on the environment, namely the reduction of vegetated land cover, especially in urban areas due to the expansion of built-up land. The change in vegetated land cover to built-up land is one of the factors increasing Land Surface Temperature (LST), this will have a direct impact on environmental criticality. This study aims to map and assess the impact of land cover change and Land Surface Temperature (LST) with environmental criticality in the Bandung Basin. The research method to be carried out by processing Landsat 8 OLI/TIRS satellite image data. To map land cover change is made using the Normalized Difference Vegetation Index (NDVI) algorithm and to analyze environmental criticality using the Environmental Criticality Index (ECI) algorithm, with the addition of the Modified Normalized Difference Water Index (MNDWI) algorithm equation to improve the accuracy of the ECI classification. There are four ECI classes, namely non-critical, low, medium and high. The results of this study show that the Bandung Basin from 2014-2023 decreased vegetation land cover and increased built-up land and experienced an increase in LST, this has an impact on increasing environmental criticality. Areas with high environmental criticality are areas dominated by built-up land with very high LST. From the processing results, the area of critical areas has increased, the percentage of critical areas on June 9, 2014 was 75.2%, July 6, 2018 was 76.5%, July 25, 2019 was 77.1%, and September 6, 2023 was 78.2%.In addition, the regression results show that NDVI has a stronger impact on environmental criticality than LST