Analiysis of Environmental Criticallity Index (ECI) in Bandung Basin Using Remote Sensing
Lili Somantri (a*) Haikal Muhammad Ihsan (b)

(a, b) Departement of Geography Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
*lilisomantri[at]upi.edu

Abstract

Bandung City and this surrounding areas are experiencing intensive land cover change and surface temperature dynamics due to significant population growthand massive infrastructure development. This study aims to analyze the Environmental Criticality Index (ECI) to identify spatial patterns of environmental vulnerability using remote sensing and GIS techniques. The ECI serves as a synthetic index to measure environmental stress resulting from urbanization, particularly in areas with intensive built-up growth and vegetation loss. Landsat 8 and 9 OLI/TIRS imagery from the years 2019 and 2024 are utilized to extract relevant parameters, including Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI), and Modified Normalized Difference Water Index (MNDWI). These parameters are processed and integrated into the ECI model, focusing on the combination of built-up density and thermal characteristics to determine critical zones. The spatial analysis results reveal increasing environmental criticality in urban fringes and previously green areas, driven by land conversion and infrastructure development. By mapping and visualizing the distribution of environmental pressure, this study provides a comprehensive overview of ecological vulnerability across the Bandung Basin. The findings emphasize the need for environmentally sensitive spatial planning policies that consider thermal regulation, vegetation preservation, and sustainable land use. The ECI-based approach demonstrated in this study can serve as a valuable tool for monitoring urban impacts on the environment and for supporting local governments in making informed planning decisions aimed at enhancing ecological resilience and urban sustainability.

Keywords: bandung basin- environmental criticality index- land surface tempertaure- remote sensing- spatial planning

Topic: Topic B: Applications of Remote Sensing