20.500.12556/RUL-112565 Analiza urbanega odtisa magistrsko delo Analysis of urban footprint master thesis Namen magistrske naloge je analizirati kakovost izdelkov projekta Globalni urbani odtis (Global Urban Footprint) in določiti rast slovenskih mest na podlagi satelitskih posnetkov srednje prostorske ločljivosti. Sloj Globalnega urbanega odtisa je bil po površini primerjan z evidenco dejanske rabe in izdelano masko pozidanosti na podlagi posnetkov Landsat. Za vse maske je bila ovrednotena klasifikacija. Za obdobje med 1984 in 2018 je bila izdelana časovna vrsta posnetkov Landsat. Vrsta prikazuje rast štirih izbranih slovenskih mest. Na podlagi časovne vrste so se razkrila večja območja sprememb zaradi gradenj oz. rušenja stavb. S tem smo želeli odkriti trende in značilnosti razvoja mest v Sloveniji. Maska pozidanosti na podlagi časovnih vrst posnetkov Landsat je bila izdelana v spletni storitvi Google Earth Engine v programskem jeziku Javascript. Pozidano površje je bilo določeno na podlagi analize glavnih komponent, ki se je izkazala za najnatančnejšo med preizkušenimi metodami. The aim of this Master thesis is to analyze the quality of Global Urban Footprint project’s products and to determine the growth of Slovenian cities based on medium spatial resolution satellite images. The Global Urban Footprint layer was compared to the actual usage record by the surface and to the built-up mask based on Landsat footage. All masks have been evaluated with a classification. For the period between 1984 and 2018 the time series of the Landsat footage was created. The latter shows the growth of four selected Slovenian cities. Based on the time series, large areas of changes were revealed, due to the construction or the demolition of buildings. Through this, the intention was to discover trends and characteristics of urban development in Slovenia. The built-up mask based on the time series of Landsat footage was created in the online service Google Earth Engine, in the JavaScript programming language. The built-up area was determined based on the principal component analysis (PCA), which was proven to be the most accurate among the tested methods. Globalni urbani odtis Google Earth Engine Landsat časovne vrste Global urban footprint Google Earth Engine Landsat Time series true true false B. Mikl] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2019-10-25 07:15:33 2019-10-25 07:15:38 2022-08-24 03:51:43 0000-00-00 00:00:00 2019 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 711.1:911.375.1(043.3) 137935 8947041 3531.pdf 3531.pdf 1 B808F4A2EBF3547FC82909DA239FE1EB fafac70ebbf800149891913e4a5ed519ca98b88ae27dca0efe21c68ce22e9b54 e808a17d-a1b7-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=124468 Fakulteta za gradbeništvo in geodezijo 0 0 0