Analisis Perubahan Penggunaan Lahan Berdasarkan Hasil Interpretasi Visual Citra Satelit Untuk Penerimaan Pbb (Studi Kasus : Kecamatan Semarang Utara)

Pesatnya pembangunan menyebabkan tingginya Perubahan pola penggunaan lahan. Lahan yang dulunya merupakan lahan kosong atau lahan tidak terbangun, banyak mengalami Perubahan fungsi menjadi lahan terbangun. Perubahan penggunaan lahan dapat di monitoring menggunakan data spasial remot sensing. Akusisi data remote sensing secara berseri dari waktu ke waktu memungkinkan untuk melakukan analisis Perubahan lahan. Citra yang dipakai dalam penelitian adalah Citra Ikonos tahun 2007, sedangkan pembandingnya merupakan peta penggunaan lahan kecamatan Semarang Utara tahun 2009. Software yang digunakan adalah E.R. Mapper 7.0 dan Arc.GIS 10. Proses rektifikasi menggunakan metode Map to Image dimana titik GCP diperoleh berdasarkan data sekunder dari peta yang mempunyai liputan yang sama dengan citra yang akan dikoreksi. Berdasarkan pengolahan citra Ikonos tahun 2007 dan peta penggunaan lahan tahun 2009 didapatkan Perubahan luas penggunaan lahan sebesar 62,656 Ha. Dengan adanya Perubahan luas tersebut dapat mempengaruhi Perubahan harga NJOP, Perubahan harga NJOP yang terjadi sebesar 21,6 %

Analisis Sea Level Rise Menggunakan Data Satelit Altimetri Jason-2 Periode 2008-1012 (Studi Kasus: Laut Utara Jawa Dan Laut Selatan Jawa)

Sea level changes carried by tidal observations at the beach. But, the method as it still has some shortcomings in some ways such as limited coverage areas around the coast so the sea face of changing data is only accurate for a relatively shallow sea close to the shore. The existence of tidal palm should be tied to the tidal station and measured by GPS in order to be bound by such a reference ellipsoid..Advances in the development of satellite technology, especially satellite altimetry is intended to observe ocean phenomena, has helped many observations of sea level temporally. To see the trend of changes in sea level rise do linear regression. Calculating the regression process SLA and linear trend analysis of the data altimetry satellite Jason 2. In this final project the results of this regression will be used also to compare the differences in sea level rise in the North Sea Java and South Sea Java. As long years 2008-2012 with satellite altimetry abservations shows that the phenomenon of sea level rise occurred in the North Sea Java and South Sea Java. Sea level rise occurred in the North Sea Java is equal +10.77 mm/yr. Lowest values occurred in Waters Semarang on pass number 64 is equal to +7.92 mm/yr and the highest occurred in the Waters of Madura on pass number 203 is equal to +15.84 mm/yr. For in the sea south of Java, sea level rise is at +16.79 mm/yr. Lowest values occurred in Waters Prigi on pass number 203 is equal to +12.60 mm/yr. As for the sea level rise occurred in the Waters of Cilacap is at +23.04 mm/yr

Identifikasi Manifestasi Panas Bumi Dengan Memanfaatkan Kanal Thermal Pada Citra Landsat (Studi Kasus : Kawasan Dieng)

Indonesia is one country that still uses fossil energy sources as a primary energy source. However, the availability of fossil energy sources is surely will be depleted when used continuously.In addition to the abundant fossil energy sources, Indonesia is also gifted new and renewable energy sources. The energy sources such as water, geothermal, biomass, solar, wind, up to uranium. Geothermal energy in Indonesia is estimated to be the third largest in the world. It is closely related to the position of Indonesia in the tectonic framework of the world. Dieng Plateau is a complex of volcanoes, vast plains shaped with a length of approximately 14 km, 6 km wide and extends from the Southwestern - Southeast. The availability of geothermal energy is not separated by a manifestations exist on the surface. Surface geothermal manifestations such as solfatar, fumaroles, hot steamy soil, silica sinter and hydrothermal alteration. All the manifestations of the surface has a relatively higher temperature then the surrounding environment. Remote sensing method is very effective in finding geothermal manifestations considering the research area covering a large area. Landsat image processing result of thermal band will generate hot spots that indicates the exist of geothermal manifestations. But the hot spots that gained are not all as geothermal manifestations. Therefore it needs separation of the hot spots in the form of geothermal manifestations and not a manifestation of geothermal. Landsat image processing results in this research showed the lowest temperature is 11,180 0C on Landsat imagery in 2006 and the highest temperature is 39,671 0C on Landsat imagery in 2014. The temperature range of geothermal manifestation which is recorded in this research is at 25,271 0C up to 39,671 0C. According to the level of consistency hot sightings from geothermal manifestations in this research, the manifestations of which are constantly showing the heat production is Sileri Crater and Condrodimuko Crater. Size manifestation that was detected by Landsat imagery wider than 30 m x 30 m in accordance with a spatial resolution of thermal band Landsat image