The development of urban areas in Sleman Regency occurs continuously along with an increase in population, encourages changes in any kind of land cover to be built-up area to meet the needs of citizen housing. The objectives of this study were to analyse changes in land cover and its correlation with Land Surface Temperature (LST) and to determine the direction of regional development that occurs in Sleman Regency. The methods used in this research were multispatio-temporal data analysis that contained spectral transformations and supervised classification of Maximum Likelihood on Google Earth Engine, statistical analysis of Landsat 8 OLI/TIRS imagery from 2014 to 2019, and accuracy assessments to determine the accuracy of the results. The results showed there were the increase in built-up area by 1713.374 ha from 2014 to 2019 and supported by the increase in population density of 2038 inhabitants/km2. There was an increase in LST in the converted areas from 2014 to 2019 with an estimated increase of 2.73°C. The distribution of built-up area that indicated as the direction of urban area development has a tendency to head north and northeast of Sleman regency, such as to Ngemplak sub-district, Kalasan sub-district, and Berbah sub-district. The correlation between building density and LST showed the correlation coefficient of 0.61 which was considered as a strong correlation and the determination coefficient of 0.38 also regarded as significant, based on the t-Test. The accuracy assessment was done on the land cover map, generating the overall accuracy of 88.42%.
Peningkatan intensitas pembangunan fisik dan sosial di kawasan perkotaan Samarinda sebagai indikator kemajuan suatu kawasan perkotaan secara tidak langsung berdampak terhadap stabilitas kondisi atmosfer. Fenomena urban heat island sebagai turunan dari dinamika iklim mikro perkotaan sebagai dampak dari pembangunan fisik dan sosial tersebut semakin meluas, sehingga kebutuhan akan teknik monitoring yang efektif dan efisien menjadi sangat penting. Penginderaan jauh mampu melakukan pemantauan dan deteksi titik panas dalam rangka mitigasi dan pengendalian efek urban heat island dalam cakupan wilayah yang luas dengan waktu singkat. Penelitian ini berfokus pada kajian surface urban heat island (SUHI) yang bertujuan untuk mengetahui distribusi spasial intensitas SUHI di Kota Samarinda. Metode yang digunakan pada penelitian ini berupa integrasi teknik penginderaan jauh dan cloud computing pada Google Earth Engine menggunakan band termal citra Landsat 8 OLI/TIRS serta analisis statistik citra menggunakan Buffer Boundary Analysis untuk identifikasi potensi terjadinya SUHI di Kota Samarinda. Ekstraksi suhu permukaan diperoleh dari persamaan Planck yang diintegrasikan dengan koreksi atmosfer untuk koreksi emisivitas permukaan menggunakan syntax dengan bahasa Javacript pada Google Earth Engine. Hasil pengolahan menunjukkan adanya potensi SUHI dengan intensitas tinggi dengan nilai 3,001-6,000°C pada radius 5 km dari pusat kota dan intensitas semakin turun seiring radius yang semakin jauh dari pusat kota. Secara administratif, intensitas SUHI tertinggi relatif berada pada kecamatan Samarinda Kota, Samarinda Ilir, dan Samarinda Seberang dengan rentang intensitas SUHI sebesar 1,5001-6,000°C, sementara intensitas SUHI terendah relatif berada pada kecamatan Sungai Kunjang dan Palaran dengan rentang intensitas SUHI sebesar -10,000-1,500°C.
The detection and monitoring of the dynamics of urban micro-climatesneeds to be performedeffectively, efficiently, consistently and sustainably inan effort to improve urban resilience to suchphenomena. Thermal remote sensing posesses surface thermal energy detection capabilities which can be converted into surface temperatures and utilised to analyse the urban micro-climate phenomenon overlarge areas, short periods of time, and at low cost. This paper studies the surface urban cool island (SUCI) effect, the reverse phenomenon of the surface urban heat island (SUHI) effect, in an effort to provide cities with resistance to the urban microclimate phenomenon.The study also aims to detect urban micro-climate phenomena, and to calculate the intensity and spatial distribution of SUCI. The methods used include quantitative-descriptive analysis of remote sensing data, including LST extraction, spectral transformation, multispectral classification for land cover mapping, and statistical analysis. The results show that the urban micro-climate phenomenon in the form of SUHI in the middle of the city of Salatiga is due to the high level of building density in the area experiencing the effect, which mostly has a normal surface temperature based on the calculation of the threshold, while the relative SUCI occurs at the edge of the city. SUCI intensity in Salatiga ranges between -6.71°C and0°C and is associated with vegetation.
The phenomenon of urban area development both physically and socially as the center of government in Sleman can indirectly cause an impact on the atmosphere. One of the impacts of the atmospheric change, the urban heat island, which is influenced by the physical and social development activities, is expanding. The research focuses on the study of surface urban heat island (SUHI) aimed at knowing the spatial distribution of the UHI intensity in Sleman Regency. The methods used in this research are the integration of remote sensing techniques and geographic information systems (GIS) using thermal bands of Landsat 8 OLI/TIRS and image statistical analysis using Buffer Boundary Analysis to identify the potential occurrence of UHI in Sleman. The result of the processing shows the potential of high-intensity urban heat island in Depok subdistrict, Ngemplak subdistrict, Kalasan subdistrict, and part of Mlati subdistrict with the varying intensity of UHI. The highest UHI intensity is around the district of Depok and Mlati with an intensity of 2,001 - 6,000 °c during the period from 2014 to 2019.
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