The Relationship between Availability of Green Space and Comfort Index Based on Remote Sensing Data Analysis

Putrajaya, I Ketut and Mas Martayana, I Putu Hendra (2021) The Relationship between Availability of Green Space and Comfort Index Based on Remote Sensing Data Analysis. In: ICLSSE 2021, 9 September 2021, Singaraja, Bali, Indonesia.

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Abstract

The increasing need for built-up land in Singaraja City has caused a decrease in the quantity of green space. The availability of green space is important to know the percentage of the area and its distribution because it can be related to the environmental comfort index. This study aims to analyze the availability of green space, environmental comfort index, and the relationship between the availability of green space and the comfort index. The main data obtained from Landsat 8 imagery and measurement results. Then the data were analyzed descriptively quantitatively to measure the percentage area of green space based on the NDVI value, the comfort index based on the THI value and linear regression analysis between the two variables. The results obtained indicate that the availability of green space is 50.84% of the area of Singaraja City which is spread in suburban areas. Most of the comfort levels are categorized as uncomfortable, especially in downtown areas and only a few areas that are categorized as comfortable or comfortable enough are scattered in suburban areas. This is due to the compaction of buildings and activities in the downtown area. The two variables show a significant level of relationship (R2) which is quite strong, which is 0.6299, but it is necessary to conduct an in-depth study related to other factors that also affect the comfort level of the city. This research is important to do and provide information in addressing urban problems comprehensively.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: green space comfort index remote sensing
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 12 Jan 2022 11:01
Last Modified: 12 Jan 2022 11:01
URI: https://eprints.eudl.eu/id/eprint/9513

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