Risk Screening Environmental Indicators Model Change Based on SpectralTransformation Around New Yogyakarta International Airport

• Autorzy: Sidiq Wahid Akhsin Budi Nur , Fariz Trida Ridho , Saputro Purnomo Adi , Sholeh Muh

Identyfikatory

DOI

10.12912/27197050/189573

• Języki publikacji: EN

Abstrakty

EN

The development of New Yogyakarta International Airport (NYIA) in Temon sub-district is aimed at improving the progress of the surrounding region, where the construction has an impact on the increase in built-up land of 572.38 hectare (2013–2017) and 268.67 hectare (2017–2023) which is potentially a decrease in the environmental quality index. The purpose of the research was to analyze changes in the environmental quality index Risk Screening Environmental Indicators (RSEI) of 2013, 2017 and 2024 around NYIA. The research designs used quantitative approaches with scoring approaches, while research methods used spectral transformation and Principal Component Analysis transformation. The research has limited the use of Landsat 8 image data as a primary data source with a spatial resolution of 30 meters, where the image has not yet been able to deliver the results of the research with a high degree of exhaustion. The originality of the research is the identification of changes in the environmental quality index that are correlated with changes in built-up land and vegetation coverage. The results of the study showed a decrease in the RSEI values, where high-level RSEIs decreased by about 295.17 hectare (2013–2017) and 1720.91 hectare (2017–2024), in addition there was an increase in the area of low-level RSEI by about 122.33 hectare (2013–2017) and 1898.79 hectare (2017–2024). The decline in RSEI in the area study has been correlated with increased built-up land and decreased vegetation area, with built-up land increasing by 572.38 hectare (2013–2017) and 269.97 hectare (2017–2024), besides decreasing vegetation areas by 137.82 hectare (2013–2017), and 97.34 hectare (2017–2024). The study concluded that there was a decrease in the environmental quality index, where increased built-up land and decreased vegetation area were influential factors. This research opens up further research opportunities to predict the environmental quality index with the cellular automata model.

Słowa kluczowe

EN

environmental quality; remote sensing; land cover change

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2024
• Tom: Vol. 25, iss. 8
• Strony: 143--160
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Sidiq Wahid Akhsin Budi Nur

• Geography Departement, Faculty of Social Sciences and Political Science, Universitas Negeri Semarang, Sekaran, 50229, Semarang City, Indonesia

• https://orcid.org/0000-0002-6057-5231

autor

Fariz Trida Ridho

• Environmental Science Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang, Sekaran, 50229, Semarang City, Indonesia

• https://orcid.org/0000-0002-3943-0089

autor

Saputro Purnomo Adi

• Geography Departement, Faculty of Social Sciences and Political Science, Universitas Negeri Semarang, Sekaran, 50229, Semarang City, Indonesia

• https://orcid.org/0009-0006-2384-4187

autor

Sholeh Muh

• Geography Departement, Faculty of Social Sciences and Political Science, Universitas Negeri Semarang, Sekaran, 50229, Semarang City, Indonesia

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