Analisis Indeks Kekritisan Lingkungan Di Kota Makassar Menggunakan Citra Satelit Landsat 8 Oli/Tirs

Fadlin, Feri; Kurniadin, Nia; Prasetya, Astrolabe Sian

doi:10.14710/elipsoida.2020.6232

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…The pattern of the critical environment area was similar to the distribution of UHI based on air temperature classification, which tended to be higher in urban centers. The strong relationship between the critical environment and the UHI phenomenon was due to the dynamics of urban air temperature, which were influenced by land cover changes (Fadlin et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City

Putra¹,

Risdiyanto²,

Hidayat³

2023

Agromet

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The compactness of buildings in Denpasar resulted in the formation of urban heat islands (UHI), which can be evaluated through the Urban Thermal Field Variance Index (UTFVI) and Environment Criticality Index (ECI). ECI is the ratio of land surface temperature to the Normalized Difference Vegetation Index (NDVI). It can be transformed into Temperature Criticality Value (TCV) using air temperature and Index-based Built-up Index (IBI). This study aims to identify the UHI intensity, the impact of land cover changes, and its association with the TCV. The study employs Landsat 8 imagery and field measurements data, and the findings demonstrate that the study area was mainly composed of built-up areas that had grown from 2015 to 2021. TFVI indicates the most intense UHI (>0.02) in the built-up areas, whereas the mean value of NDVI suggested a reduction in vegetation density. The density of built-up areas (IBI) had increased, while vegetation had decreased. TCV in 2015 ranged from -11.15°C.IBI to 6.42°C.IBI; 2018 between -9.96°C.IBI to 6.79°C.IBI; and 2021 between -10.84°C.IBI to 6.87°C.IBI showed that the environment had become increasingly critical from 2015 to 2021. A transect analysis revealed that more vigorous UHI intensity, denser buildings, and a more critical environment were present in urban centers compared to the suburbs. The correlation coefficient (r) between TCV and UTFVI was relatively robust (0.75–0.82), indicating that the growth of UHI intensity was associated with a more critical environment. TCV has the strongest (r=0.99) and strong correlation (r>0,80) with Built-up Index but inverse correlation with NDVI. Therefore, limiting the expansion of built-up areas and increasing vegetation could help to control the environment's criticality.

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Section: Discussionmentioning

confidence: 99%

Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City

Putra¹,

Risdiyanto²,

Hidayat³

2023

Agromet

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“…Oleh karena itu, eksistensi Ruang Terbuka Hijau (RTH) menjadi sangat penting terutama pada areal perkotaan dikarenakan keberadaan areal vegetasi secara langsung dapat menurunkan tingkat emisi dengan menyerap gas-gas karbon yang berasal dari aktivitas manusia seperti kendaraan (Oktavian et al, 2020) & (Sarasidehe et al, 2022), rumah tangga, industri dan tumpukan sampah (Ramadhan et al, 2021) sehingga ketika jumlah dan volume emisi berkurang di atmosfer hal tersebut dapat berefek pada terjadinya penurunan Suhu Permukaan. Penelitian yang dilakukan oleh (Fadlin et al, 2020) menunjukkan bahwa pola sebaran suhu permukaan lebih tinggi ke daerah pusat kepadatan penduduk tinggi, pusat perkantoran, pusat pemerintahan dan pusat perkantoran atau dengan kata lain peningkatan suhu permukaan sejalan dengan peningkatan aktivitas manusia (Umar, et al, 2021). Sedangkan suhu permukaan cenderung lebih rendah ke wilayah dengan tutupan vegetasi tinggi (Abidin et al, 2019) dan areal yang memiliki perairan lebih dominan (Fadlin et al, 2020).…”

Section: Evaluasi Ruang Terbuka Hijau (Rth)unclassified

“…Penelitian yang dilakukan oleh (Fadlin et al, 2020) menunjukkan bahwa pola sebaran suhu permukaan lebih tinggi ke daerah pusat kepadatan penduduk tinggi, pusat perkantoran, pusat pemerintahan dan pusat perkantoran atau dengan kata lain peningkatan suhu permukaan sejalan dengan peningkatan aktivitas manusia (Umar, et al, 2021). Sedangkan suhu permukaan cenderung lebih rendah ke wilayah dengan tutupan vegetasi tinggi (Abidin et al, 2019) dan areal yang memiliki perairan lebih dominan (Fadlin et al, 2020). Maka dari itu keberadaan Ruang Terbuka Hijau (RTH) khususnya pada wilayah Pendidikan Tinggi menjadi sangat penting agar kualitas lingkungan hidup tetap terjaga yang mampu menciptakan suasana nyaman sehingga proses belajar mengajar dapat berjalan lancar dan nyaman agar tercapai tujuan pembelajaran.…”

Section: Evaluasi Ruang Terbuka Hijau (Rth)unclassified

Identifikasi Kemampuan Ruang Terbuka Hijau Kampus dalam Menyerap Emisi Karbon Dioksida (CO2)

Abidin,

Umar,

Liani

et al. 2023

jsainsmat

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Fungsi kawasan perkotaan salah satunya adalah sebagai pusat pendidikan. Kota Makassar merupakan salah satu kota dengan jumlah kampus terbanyak di Indonesia. Aktifitas pendidikan secara langsung turut berkontribusi terhadap peningkatan emisi yang berasal dari mobilitas mahasiswa, dosen dan pegawai. Emisi yang dihasilkan menjadi salah satu penyebab pemanasan global sehingga untuk mengurangi laju emisi yang dihasilkan maka diperlukan ruang terbuka hijau. Oleh karena itu, penelitian ini bertujuan mengidentifikasi kemampuan tanaman dalam menyerap emisi Karbon Dioksida di areal kampus. Analisis data yang digunakan adalah melakukan perbandingan jumlah beban emisi Karbon Dioksida yang dihasilkan dengan kemampuan daya serap ruang terbuka hijau. Hasil penelitian menunjukkan bahwa kemampuan Ruang Terbuka Hijau (RTH) eksisting Universitas Negeri Makassar kampus Parangtambung dalam menyerap emisi CO2 yang dihasilkan dari semua jenis kendaraan baik kendaraan roda dua (motor) maupun kendaraan roda empat (mobil) di semua zona akses masuk dapat di serap secara keseluruhan oleh vegetasi dimana total emisi CO2 yang dihasilkan adalah 47.822.4 g/jam sedangkan jumlah emisi CO2 yang dapat diserap oleh tanaman adalah 652.855.1 g/jam yang berarti masih terdapat 605.032.7 g/jam emisi CO2 yang mampu diserap sehingga kajian selanjutnya adalah prediksi jumlah emisi yang dihasilkan di tahun mendatang agar rekomendasi pengelolaan dapat dilakukan agar daya serap tanaman tetap mencukupi.

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“…Land Surface Temperature (LST) Land Surface Temperature was calculated using the Land Surface Temperature (LST) algorithm (Subiyanto & Amarrohman, 2018in Fadlin et al, 2020. LST extraction was carried out using the formula (Deilami et al, 2016).…”

Section: Image Transformationmentioning

confidence: 99%

Analysis of the Impact of Residential Land Development on LST in Semarang City

Gunawan,

Hadibasyir,

Arijuddin

2023

Advances in Social Science, Education and Humanities Research

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All activities, including the economy, government, and other supporting activities, are centered on urban areas. Human activities have both positive and harmful impacts on the urban itself. One of the impacts is the development of built-up land, which will impact temperature changes. Within eight years, 500 ha of irregular settlements have emerged. This research, therefore, aims to analyze the level of built-up land (NDBI), vegetation density (NDVI), and surface temperature level (LST), which then built-up land and vegetation density to LST would be correlated. The method used in this study was descriptive, describing vegetation density, built-up area, and surface temperature, as well as the correlation between built-up area and vegetation density on LST, conducted descriptively. The findings revealed that while built-up land was directly proportional to changes in LST, vegetation density had an inverse relationship with those changes. In other words, the higher the available vegetation density, the lower the surface temperature. Indirectly, vegetation density has numerous benefits, one of which can affect temperature, especially in urban areas. Additionally, the relationship in built-up land was directly proportional to LST, where the higher the built-up area, the higher the LST. In this situation, many built-up areas use materials to store heat and cover the ground surface, especially in urban areas.

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Analisis Indeks Kekritisan Lingkungan Di Kota Makassar Menggunakan Citra Satelit Landsat 8 Oli/Tirs

Cited by 5 publications

References 5 publications

Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City

Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City

Identifikasi Kemampuan Ruang Terbuka Hijau Kampus dalam Menyerap Emisi Karbon Dioksida (CO2)

Analysis of the Impact of Residential Land Development on LST in Semarang City

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