EKSPLORASI PENGARUH RUANG TERBUKA HIJAU PADA KENYAMANAN TERMAL DI PERKOTAAN

  • Nabigha Arifa Rahardjo Perencanaan Wilayah dan Kota, Fakultas Teknik, Universitas Brawijaya
  • Firman Afrianto Perencanaan Wilayah dan Kota, Fakultas Teknik, Universitas Gadjah Mada http://orcid.org/0000-0002-9369-8713
Keywords: Land-Change, Vegetation, Temperature-Humidity, Regression

Abstract

The dynamics of rapid population growth encourage active urban development and industrialization, but it also has the potential to harm decreasing environmental quality because it triggers land cover change. Therefore, the land cover change of vegetation areas into built-up areas plays a crucial role in suppressing the factors that affect the level of thermal comfort in a city. Thermal comfort in this study uses the THI (Temperature Humidity Index) method with a comfort range of 21–26°C. The research data obtained by the remote sensing approach, specifically multitemporal Landsat satellite imagery in 2013, 2017, and 2021 The Landsat data extraction stage used NDVI analysis, supervised classification, land surface temperature (LST), and THI. Multiple linear regression analysis is used to test the extent of the influence of each independent variable on the dependent variable. The results showed that the independent variables, including water bodies and healthy vegetation, lowered the THI as the dependent variable. Meanwhile, the variables of built-up land, open land, and unhealthy vegetation increase the THI. Based on the three THI Cirebon City models obtained, the independent variables that consistently influence are built-up areas and healthy vegetation, which have a relatively strong level of influence.

Published
2024-06-24