Variasi suhu permukaan daratan di kampus Universitas Indonesia menggunakan analisis citra = Variation of land surface temperature in University of Indonesia using image analysis
Agung Rudiarto;
Djoko Harmantyo, supervisor; Adi Wibowo, supervisor; Eko Kusratmoko, examiner; Sobirin, examiner; Revi Hernina, examiner
([Publisher not identified]
, 2015)
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[Universitas Indonesia memiliki keberagaman fasilitas untuk menunjang aktifitas perkuliahan yang memiliki variasi tutupan lahan. Universitas Indonesia sebagai tempat beraktifitas dapat mewakili sebuah kota dalam lingkup yang lebih kecil. Variasi tutupan lahan mempengaruhi adanya variasi suhu permukaan. Penelitian ini bertujuan untuk mengetahui pola spasial variasi suhu permukaan daratan. Penelitian ini menggunakan pendekatan keruangan (spasial) untuk menganalisis variasi suhu permukaan daratan dan pendekatan ekologi untuk menganalisis keterkaitan antara suhu permukaan daratan dengan kehijauan kanopi vegetasi (NDVI) dan kerapatan atap bangunan (NDBI). Data suhu permukaan dihasilkan dari citra penginderaan jauh. Penelitian ini menggunakan citra Landsat 8 untuk memperoleh data suhu, kehijauan kanopi vegetasi, dan kerapatan atap bangunan. Hasilnya menunjukkan suhu maksimum permukaan daratan di kampus UI depok pada tahun 2013 dan tahun 2014 mencapai 35oC dan mempunyai suhu minimum 21oC. Variasi suhu permukaan sejalan dengan variasi tutupan lahannya. Semakin rendah kehijauan tutupan kanopi vegetasinya maka semakin tinggi pula suhu permukaan daratannya, begitu juga sebaliknya semakin tinggi kerapatan atap bangunannya maka semakin tinggi pula suhu permukaan daratannya.;University of Indonesia has a diversity of facilities to support the activities of thelectures that have variations in land cover. University of Indonesia as a place ofactivity can represent a city within a smaller scope. Variations in land cover affectsurface temperature variations. This study aims to determine the spatial patterns ofland surface temperature variations. This study uses a spatial approach (spatial) toanalyze the variations in the temperature of the land surface and ecologicalapproach to analyze the relationship between the land surface temperaturevegetation canopy greenness (NDVI) and the density of the roof of the building(NDBI). Surface temperature data generated from remote sensing imagery. Thisresearch use Landsat 8 to obtain temperature data, greenish vegetation canopy,and the density of the roof of the building. The results show the maximum surfacetemperature of land in UI Depok campus in 2013 and 2014 reached 35°C andhave a minimum temperature of 21°C. Land surface temperature variationschanges in line with variations in land cover. The lower greenish vegetationcanopy cover, the higher the temperature of the land surface, on the contrary thehigher density of the roof of the building, the higher the temperature of the landsurface.;University of Indonesia has a diversity of facilities to support the activities of thelectures that have variations in land cover. University of Indonesia as a place ofactivity can represent a city within a smaller scope. Variations in land cover affectsurface temperature variations. This study aims to determine the spatial patterns ofland surface temperature variations. This study uses a spatial approach (spatial) toanalyze the variations in the temperature of the land surface and ecologicalapproach to analyze the relationship between the land surface temperaturevegetation canopy greenness (NDVI) and the density of the roof of the building(NDBI). Surface temperature data generated from remote sensing imagery. Thisresearch use Landsat 8 to obtain temperature data, greenish vegetation canopy,and the density of the roof of the building. The results show the maximum surfacetemperature of land in UI Depok campus in 2013 and 2014 reached 35°C andhave a minimum temperature of 21°C. Land surface temperature variationschanges in line with variations in land cover. The lower greenish vegetationcanopy cover, the higher the temperature of the land surface, on the contrary thehigher density of the roof of the building, the higher the temperature of the landsurface.;University of Indonesia has a diversity of facilities to support the activities of thelectures that have variations in land cover. University of Indonesia as a place ofactivity can represent a city within a smaller scope. Variations in land cover affectsurface temperature variations. This study aims to determine the spatial patterns ofland surface temperature variations. This study uses a spatial approach (spatial) toanalyze the variations in the temperature of the land surface and ecologicalapproach to analyze the relationship between the land surface temperaturevegetation canopy greenness (NDVI) and the density of the roof of the building(NDBI). Surface temperature data generated from remote sensing imagery. Thisresearch use Landsat 8 to obtain temperature data, greenish vegetation canopy,and the density of the roof of the building. The results show the maximum surfacetemperature of land in UI Depok campus in 2013 and 2014 reached 35°C andhave a minimum temperature of 21°C. Land surface temperature variationschanges in line with variations in land cover. The lower greenish vegetationcanopy cover, the higher the temperature of the land surface, on the contrary thehigher density of the roof of the building, the higher the temperature of the landsurface., University of Indonesia has a diversity of facilities to support the activities of thelectures that have variations in land cover. University of Indonesia as a place ofactivity can represent a city within a smaller scope. Variations in land cover affectsurface temperature variations. This study aims to determine the spatial patterns ofland surface temperature variations. This study uses a spatial approach (spatial) toanalyze the variations in the temperature of the land surface and ecologicalapproach to analyze the relationship between the land surface temperaturevegetation canopy greenness (NDVI) and the density of the roof of the building(NDBI). Surface temperature data generated from remote sensing imagery. Thisresearch use Landsat 8 to obtain temperature data, greenish vegetation canopy,and the density of the roof of the building. The results show the maximum surfacetemperature of land in UI Depok campus in 2013 and 2014 reached 35°C andhave a minimum temperature of 21°C. Land surface temperature variationschanges in line with variations in land cover. The lower greenish vegetationcanopy cover, the higher the temperature of the land surface, on the contrary thehigher density of the roof of the building, the higher the temperature of the landsurface.] |
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No. Panggil : | S59219 |
Entri utama-Nama orang : | |
Entri tambahan-Nama orang : | |
Entri tambahan-Nama badan : | |
Subjek : | |
Penerbitan : | [Place of publication not identified]: [Publisher not identified], 2015 |
Program Studi : |
Bahasa : | ind |
Sumber Pengatalogan : | LibUI ind rda |
Tipe Konten : | text |
Tipe Media : | unmediated ; computer |
Tipe Carrier : | volume ; online resource |
Deskripsi Fisik : | xii, 64 pages ; 28 cm + appendix |
Naskah Ringkas : | |
Lembaga Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 3 |
No. Panggil | No. Barkod | Ketersediaan |
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S59219 | TERSEDIA |
Ulasan: |
Tidak ada ulasan pada koleksi ini: 20413077 |