Analisis Pola Perubahan Suhu Kota Surabaya Menggunakan Suhu Permukaan Tanah (Spt) Landsat 8 Dan Automatic Weather Station (Aws)

Azhali, Firmansyah (2019) Analisis Pola Perubahan Suhu Kota Surabaya Menggunakan Suhu Permukaan Tanah (Spt) Landsat 8 Dan Automatic Weather Station (Aws). Other thesis, Institut Teknologi Sepuluh Nopember Surabaya.

Text 03311540000103-Undergraduated_Thesis.pdf Restricted to Repository staff only Download (2MB) | Request a copy

Abstract

Kepadatan penduduk di daerah perkotaan berimplikasi terhadap ketersediaan ruang terbuka hijau (RTH) yang terbatas. RTH memiliki peran penting untuk menjaga kualitas lingkungan dan kesehatan masyarakat yang tinggal di daerah tersebut. Untuk itu diperlukan sebuah indicator berupa Suhu Permukaan Tanah (SPT) untuk mengetahui sebaran dan kecukupan RTH di kawasan tertentu. Data SPT kontinyu selanjutnya dapat dijadikan dasar dalam pembangunan dan manajemen RTH. SPT dapat diperoleh dengan perekaman data meterologi menggunakan stasiun cuaca. Namun data yang diperoleh terbatas secara jumlah dan sebaran spasial. Sehingga pemanfaatan citra satelit dengan sensor termal menjadi sebuah solusi untuk mendapatkan SPT dengan cakupan area yang luas.
Pada penelitian ini, analisis perubahan suhu dilakukan di Kota Surabaya dengan menggunakan data Landsat 8 TIRS pada tanggal 5 Agustus 2018 sampai 12 September 2018. Hasil dari estimasi SPT dengan metode Single-Channel Algorithm (SCA) kemudian divalidasi dengan suhu yang terekam pada Stasiun Cuaca Juanda (BMKG Juanda) dan Stasiun Cuaca Otomatis ITS (PWS ITS). Pada periode 5 Agustus 2018 hingga 12 September 2018, SPT maksimum, minimum dan rata-rata di Surabaya adalah 36oC, 20oC dan 27oC. Terdapat perbedaaan suhu antara LST dan BMKG Juanda sebesar ±0,11oC (11 Agustus 2018) dan ±0,34oC (12 September 2018). Sementara beda suhu antara LST dan PWS ITS adalah ±0,88oC (11 Agustus 2018) dan ±3,22oC (12 September 2018). Hasil uji korelasi antara data SPT dengan BMKG Juanda dan PWS ITS menunjukkan adanya korelasi yang sangat kuat antara kedua data (R= 87%)
================================================================================================================================
High population density in urban areas has reduced the availability of Green Open Space (GOS), which plays a vital role in maintaining environmental quality and supporting public health. Therefore, an indicator such as Land Surface Temperature (LST) is needed to assess the distribution and adequacy of GOS within urban environments. Continuous LST information can serve as an important basis for planning, developing, and managing green open spaces. Although LST can be estimated using meteorological observations from weather stations, the resulting data are limited by the number of stations and their spatial distribution. Consequently, satellite imagery equipped with thermal sensors provides an effective alternative for deriving LST over extensive areas. This study analyzes land surface temperature in Surabaya using Landsat 8 Thermal Infrared Sensor (TIRS) imagery acquired between August 5 and September 12, 2018. LST was estimated using the Single-Channel Algorithm (SCA) and subsequently validated against air temperature observations from the Juanda Meteorological Station (BMKG Juanda) and the Institut Teknologi Sepuluh Nopember Weather Station (PWS ITS). The results indicate that during the study period, the maximum, minimum, and average LST in Surabaya were 36°C, 20°C, and 27°C, respectively. The temperature differences between the estimated LST and BMKG Juanda observations were approximately ±0.11°C on August 11, 2018, and ±0.34°C on September 12, 2018. Meanwhile, the differences between the estimated LST and PWS ITS observations were approximately ±0.88°C and ±3.22°C on the same dates, respectively. Correlation analysis between the estimated LST and temperature observations from BMKG Juanda and PWS ITS produced a correlation coefficient (R) of 0.87, indicating a very strong agreement between the satellite-derived LST and ground-based measurements.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	AWS, Citra Landsat 8, SCA, SPT
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Environmental, and Geo Engineering > Geomatics Engineering > 29202-(S1) Undergraduate Theses
Depositing User:	Mr Firmansyah Maulana
Date Deposited:	22 Jul 2026 08:22
Last Modified:	22 Jul 2026 08:22
URI:	http://repository.its.ac.id/id/eprint/65487

Actions (login required)

View Item