INTEGRASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN TINGKAT KENYAMANAN TERMAL DAN PERMUKIMAN KOTA YOGYAKARTA
Lismalia Hana Pertiwi, Dr. Retnadi Heru Jatmiko, M.Sc.
2023 | Skripsi | KARTOGRAFI DAN PENGINDRAAN JAUH
Regional development of Yogyakarta city triggers physical changes in a negative direction, such as higher building density. This condition can affect the comfort of city, especially physical comfort which will be related to human life. This research aims to create a map and analyze the distribution of the final comfort level which is a combination of thermal comfort and settlements comfort in Yogyakarta City based on information extracted from remote sensing image.
Physical comfort may consist of thermal comfort and settlements comfort. Thermal comfort can be measured by THI (Temperature Humidity Index) which uses air temperature and air humidity. On the other hand, the settlements comfort uses six parameters. Those parameters are building density, vegetation density, distance of settlements from main roads, temporary dump, industries, and rivers. Measurement of comfort level can be done with satellite imagery, such as Sentinel 2A and Landsat 8. Thermal comfort parameters (temperature and humidity) are obtained through direct data collection in the field. The measurement results are used to calculate THI to produce thermal comfort map. Meanwhile, the parameters for settlement comfort are scored to produce a settlement comfort map. The results of thermal and settlement comfort maps are combined through a matching process to produce the final comfort map. The final comfort map also analysed the distribution pattern of comfort levels.
Most areas in Yogyakarta are in the uncomfortable class in both types of comfort (the settlements comfort and thermal comfort). Both types of comfort are combined to become the final comfort. The level of comfort in Yogyakarta is in the uncomfortable class covering an area of 19758764.962961 m2 which is spread throughout the region and partly uncomfortable covering an area of 9039178.225881 m2 which is dominant in the suburbs. The final comfort result produces an index value of 0.092405 which shows a clustered pattern that is positively correlated through spatial autocorrelation analysis.
Kata Kunci : Autokorelasi spasial, citra Landsat 8, citra Sentinel-2A, kenyamanan fisik, skoring, THI