Perbandingan Suhu Permukaan Sebelum dan Sesudah Pembangunan Sirkuit Mandalika menggunakan Metode Split Window Algorithm (SWA)

Elivia Trisnanda Apriliasari; Annisa Farida Hayuningsih

doi:10.22146/jgst.v1i1.5488

Elivia Trisnanda Apriliasari Universitas Gadjah Mada
Annisa Farida Hayuningsih

DOI: https://doi.org/10.22146/jgst.v1i1.5488

Keywords: Land Surface Temperature, Split Window Algorithm, Landsat, NDVI

Abstract

The Mandalika Circuit has undergone extensive sociological and economic study as one of the sporting venues constructed to boost economic output. The effects of temperature variations brought on by less vegetation have not, however, been thoroughly researched. The effects of development typically lead to a reduction in flora, which raises the surface temperature. The effects of development typically lead to a reduction in flora, which raises surface temperatures. The Split Window Algorithm (SWA) method should be used to compare variations in surface temperature before and after the presence of a circuit mandalika. Images from Landsat 8 OLI-TIRS, Landsat 9 OLI2-TIRS2, and MODIS were used as data in this study. Before circuit construction, temperature changes were visualized using Landsat 8 imagery taken on June 29, 2019, and after construction was complete, temperature variations were visualized using Landsat 9 imagery taken on April 26, 2022. The ENVI 5.3 software is used to obtain the value of surface temperature and vegetation cover. The findings of this study demonstrate a change in open land cover, which has increased by 41.55%. The increase in surface temperature is estimated to be 4.83°C between June 29, 2019, and standard deviation April 26, 2022, with an average surface temperature value of 29.50°C in 2019 and 34.330°C in 2022.

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