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Klasifikacija pokrovnosti z uporabo več časovnih satelitskih posnetkov Sentinel-2 : diplomska naloga
Gornik, Pia (Author), Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window

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Abstract
V diplomski nalogi smo izvedli nadzorovano klasifikacijo satelitskih posnetkov Sentinel-2, na območju Kranja in okolice. V klasifikaciji smo prikazali pet razredov, in sicer vodo, gozd, pozidano oziroma urbano površje, travnik in polje. Uporabili smo štiri posnetke v enakem rastnem obdobju šestih mesecev in sicer posnetke aprila, junija, julija in avgusta. Klasifikacijo smo izvedli z istimi vzorci za vsak mesec posebej in vse kombinacije dveh, treh in štirih posnetkov. Na koncu smo izvedli analizo kakovosti izvedenih klasifikacij tako, da smo jih primerjali z danimi podatki Evidence dejanske rabe kmetijskih in gozdnih zemljišč.

Language:Slovenian
Keywords:daljinsko zaznavanje, satelitski posnetki, Sentinel-2, nadzorovana klasifikacija, pokrovnost tal
Work type:Bachelor thesis/paper (mb11)
Tipology:2.11 - Undergraduate Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2018
Publisher:[P. Gornik]
UDC:528.8(043.2)
COBISS.SI-ID:8539489 Link is opened in a new window
Views:496
Downloads:236
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Secondary language

Language:English
Title:Classification of land cover with the use of multitemporal satellite images of Sentinel-2 : graduation thesis
Abstract:
In the diploma thesis we conducted a controlled classification of satellite images Sentinel-2, in the area of Kranj and its surroundings. In the classification we classified five classes, water, forest, urban surface, meadow and field. We used four images in a six months period, April, June, July and August. We conducted all classifications with the same samples for each month separately and for all combinations of two, three and four images. In the end we did analysis of the quality for all classifications by comparing them with given data from Collections of actual use of agricutural and forest areas.

Keywords:remote sensing, satellite images, Sentinel-2, controled classification, land cover

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