Izgradnja sustava za obradu i pohranu satelitskih podataka Kopernik programa

master's thesis

• Title (english): Implementation of a system for processing and storing Copernicus satellite data
• Author: Marta Đurović
• Mentor: Mirta Baranović (mentor)
• Committee member: Mirta Baranović (predsjednik povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Committee member: Davor Škrlec (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-06-30, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu opisan je sustav za obradu i pohranu sateliskih podataka Kopernik programa. Obrađuju se podaci produkata razine 2 misije Sentinel-2 koji se koriste za promatranje kopna i za promatranje obalnog područja do 20 km od obale. Podaci se nakon sintaksne analize spremaju u bazu podataka PostgreSQL s ekstenzijom PostGIS koja je nužna zbog pohrane geometrija. Sintaksna analiza provodi se u Django programskom okviru korištenjem Python programskog jezika. Objektno - relacijskim mapiranjem ostvarenim Django ORM tehnologijom, olakšava se pristup i upravljanje podacima u bazi. Posao sustava je omogućiti dohvaćanje novih podataka i pružiti korisnicima uslugu prikaza raspoloživih produkata na karti i njihovih informacija.

Abstract (english)

This paper describes system for processing and storing Copernicus satellite data. It processes data from level 2 of Sentinel-2 mission which is used for observing mainland and coastline up to 20 km offshore. After parsing the data is stored in the PostgreSQL database with PostGIS extension which is required for storing geometry. Parsing is conducted in Django framework, using Python programming language. Django ORM technology gives us easier access and management of data. The system is set to allow gathering new data and provide users with display avaliable products on the map and their information.

• Keywords: Kopernik program; Sentinel-2; sintaksna analiza; PostgreSQL; Django; Python; React
• Keywords (english): Copernicus; Sentinel-2; parsing; PostgreSQL; Django; Python; React
• Language: croatian
• URN:NBN: urn:nbn:hr:168:670244
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 20:23:08