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Analiza podatkov Landsat daljšega časovnega obdobja : diplomska naloga
Vrhovšek, Patricija (Author), Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window

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Abstract
Satelitski posnetki Landsat so primerni za številne časovne in prostorske analize, saj imajo veliko pokritost ter obsežen in brezplačen arhiv. V diplomski nalogi so predstavljene spremembe pokrovnosti tal daljšega časovnega obdobja, dobljene s klasifikacijo satelitskih posnetkov Landsat za izbrano območje na jugovzhodu Slovenije. Uporabljenih je bilo šest satelitskim posnetkov, posnetih med 1986 in 2016, za katere smo s postopkom nadzorovane klasifikacije izdelali klasificirane podobe. Z uporabo metode spektralnih kotov je bila pokrovnost območja klasificirana v pet razredov (pozidano, gozd, voda, njive in travniki in odprto). Sledilo je ovrednotenje rezultatov posameznih klasifikacij ter predstavitev le-teh. Analiza sprememb pokrovnosti tal je izdelana na podlagi rezulatov klasifikacije posnetkov, ki sta nastala v razmiku petindvajsetih let, to je med leti 1991 in 2016. Opisane in analizirane so spremembe v pozidanih območjih, gozdovih, njivah in travnikih ter odprtih površinah.

Language:Slovenian
Keywords:Satelitski posnetki, Landsat, klasifikacija, spremembe
Work type:Bachelor thesis/paper (mb11)
Tipology:2.11 - Undergraduate Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2017
Publisher:[P. Vrhovšek]
UDC:528.7/.8(043.2)
COBISS.SI-ID:8186721 This link opens in a new window
Views:1015
Downloads:466
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Secondary language

Language:English
Title:Analysis of Landsat data for a longer period : Graduation thesis
Abstract:
Satellite images Landsat are suitable for spatial and temporal analyses since they have a wide area coverage and a huge archive that is freely available. In this thesis, we present changes in land cover in an area located in the south-western Slovenia throughout a long-time period. We used six Landsat satellite images, taken between 1986 and 2016. For these images, we performed supervised classification. With the method of spectral angle mapper algorithm, we classified land cover into five classes (built-up area, forest, water, fields and meadows, and open areas). We evaluated the results of individual classification and discussion of individual results. The analysis of the change in land cover is based on the results of image classification, made with a difference of twenty-five years. The changes in built-up areas, forests, fields and meadows, and open areas are shown and discussed.

Keywords:Satellite Images, Landsat, Classification, Changes

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