magistrsko delo
Abstract
V magistrski nalogi sem predstavil postopek izdelave kart pokrovnosti z brezplačnimi in prosto dostopnimi podatki. Takšen postopek klasifikacije tal je ponovljiv, ne le za območje Slovenije ampak, za katero koli območje na Zemlji. Predstavljena sta pojma pokrovnosti in rabe tal. Opisane so najpomembnejše zbirke o rabi in pokrovnosti tal za območje Slovenije. Predstavljeni so načini klasifikacije, razvrščanje v razrede in izvajanje analize kakovosti klasifikacije. Kot vir satelitskih posnetkov za izdelavo naloge je predstavljen program Copernicus in satelita Sentinel-2. Opisan je projekt OpenStreetMap, ki sem ga uporabil za vir učnih vzorcev klasifikacije.
Keywords
geodezija;magistrska dela;GIG;pokrovnost;OpenStreetMap;Sentinel-2;analiza natančnosti klasifikacije;
Data
Language: |
Slovenian |
Year of publishing: |
2017 |
Typology: |
2.09 - Master's Thesis |
Organization: |
UL FGG - Faculty of Civil and Geodetic Engineering |
Publisher: |
[U. Jamnik] |
UDC: |
551.501.8:528.9(043.3) |
COBISS: |
8207713
|
Views: |
29052 |
Downloads: |
680 |
Average score: |
0 (0 votes) |
Metadata: |
|
Other data
Secondary language: |
English |
Secondary title: |
Land cover classification by using OpenStreetMap data and Sentinel-2 satellite imagery |
Secondary abstract: |
In my masters thesis I presented the process of land cover maps production with free and publicly available data. Such land classification process is repeatable not only in the area of Slovenia but anywhere in the world. Concepts of land cover and land use are interpreted and the most important collections of land cover and use are chronicled. Various ways of classification, class categorization and performance of classification quality analysis are introduced as well. As the source of satellite imagery used the Copernicus program and Sentinel-2 satellites are represented. OpenStreetMap project, used as the source of learning samples, is also described. |
Secondary keywords: |
geodesy;master thesis;land cover;classification;OpenStreetMap;Sentinel-2;classification accuracy analysis; |
Type (COBISS): |
Master's thesis/paper |
Study programme: |
0 |
Thesis comment: |
Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo |
Pages: |
X, 52 str., 5 pril. |
ID: |
10910815 |