Analisis Hubungan Suhu Permukaan Lahan dan Penutup Lahan di Kabupaten Sleman Tahun 2019

Ekawati, Nurul Hidayah and , Jumadi, S.Si.,M.Sc.,Ph.D (2020) Analisis Hubungan Suhu Permukaan Lahan dan Penutup Lahan di Kabupaten Sleman Tahun 2019. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Global warming is a problem that is currently being faced by the world community. Global warming occurs due to an increase in the global average temperature of the earth's surface. High and low surface temperature of the land surface is influenced by several things, one of which is land cover. The purpose of this study was to determine the distribution of land surface temperature and land cover, and analyze the relationship between land surface temperature and land cover in Sleman Regency in 2019. Landsat 8 thermal channel extraction recording June 25th 2019 at 09.48 WIB was carried out to obtain temperature data using the SWA method (Split Window Algorithm). SWA is a method to determine the temperature value of the two thermal image channels. The results of the image processing show that the lowest temperature is 5,85°C, the highest temperature is 33,47°C, and the average temperature is 21,33°C. The medium temperature class (19,66°C – 26,55°C) is the most dominant class and is spread across all districts. The very low temperature class (5,85°C – 12,75°C) has the lowest percentage and is located near the peak of Merapi. Land cover data is obtained from multispectral classification using the Maximum Likelihood method which classifies objects based on the samples taken. The land cover class is divided based on the modified SNI 2010 classification. Land cover based on the research results includes agricultural areas, built-up land, non-agricultural areas, waters and open land. The land cover that dominates is the agricultural area which is spread across all sub-districts. The relationship between land surface temperature and land cover can be obtained through temperature correlation and NDVI. NDVI is used because the NDVI value can indicate a certain land cover. The larger the NDVI, the land cover will have a large vegetation density. The correlation coefficient is 0.99 and has negative value. It means that land cover with large vegetation cover (non-agricultural areas in the form of forests) has a lower temperature than land cover in the form of built-up land which has little vegetation cover and has an inverse relationship.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	land surface temperature, correlation, land cover
Subjects:	G Geography. Anthropology. Recreation > GB Physical geography
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	NURUL HIDAYAH EKAWATI
Date Deposited:	14 Aug 2020 07:24
Last Modified:	14 Aug 2020 07:24
URI:	http://eprints.ums.ac.id/id/eprint/84809

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