Sustav upozorenja na opasnost od nastanka i širenja šumskih požara temeljem meteorološkog indeksa opasnosti optimiranog pomoću podataka satelita Sentinel

master's thesis

• Title (english): Forest fire warning system based on a Fire Weather Index optimized using Sentinel satellite data
• Author: Antonio Tonković
• Mentor: Ljiljana Brkić (mentor)
• Committee member: Ljiljana Brkić (predsjednik povjerenstva)
• Committee member: Mirta Baranović (član povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U okviru ovog diplomskog rada izrađen je sustav za procjenu opasnosti od nastanka i širenja šumskih požara na temelju kanadskog meteorološkog indeksa procjene opasnosti od nastanka i širenja požara (engl. Fire Weather Index, FWI) koji je optimiran pomoću podataka satelita Sentinel iz programa Copernicus Europske svemirske agencije. Sustav se sastoji od back-end dijela koji čine mikrousluge implementirane u .NET radnom okviru te od front-end dijela implementiranog u React radnom okviru, dok je kao sustav za upravljanje bazom podataka korišten PostgreSQL. Za vizualizaciju Sentinel produkata i meteoroloških indeksa korišten je GeoServer poslužitelj. Sustav korisnicima omogućuje preuzimanje Sentinel produkata po želji te pregled Sentinel produkata koji su u sustavu kao i pregled karte opasnosti od požara generirane na temelju izračunatog kanadskog indeksa opasnosti od požara te optimiranog indeksa. U pozadini sustav u definiranim vremenskim intervalima vrši preuzimanje Sentinel produkata i ekstrakciju podataka iz njih te računa osnovni i optimirani FWI.

Abstract (english)

A forest fire warning system based on Canadian fire weather index (FWI) and optimized using satellite data from Sentinel missions of Europe Space Agency's Copernicus program has been developed as a part of this thesis. Back-end of the system consists of .NET microservices and GeoServer server used for visualizing Sentinel satellite data as well as calculated fire weather indices on the map. PostgreSQL was used as a database management system. Front-end was built using the React framework. Using the system, users can download Sentinel products, browse Sentinel products already in the system and see the forest fire danger prediction map generated based on calculated Canadian FWI and optimized FWI values. The system also has a background component that downloads Sentinel products and extracts data from them as well as calculates basic and optimized FWI values in regular time intervals.

• Keywords: sustav upozorenja na šumske požare; FWI; optimizacija; satelitski podaci; Copernicus; Sentinel; GIS; GeoServer; mikrousluge; React; .NET; PostgreSQL
• Keywords (english): forest fire warning system; FWI; optimization; satellite data; Copernicus; Sentinel; GIS; GeoServer; microservices; React; .NET; PostgreSQL
• Language: croatian
• URN:NBN: urn:nbn:hr:168:038641
• 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 10:09:02