20.500.12556/DKUM-85361 Razpoznava suše z integracijo senzorskih in rastrskih podatkov diplomsko delo Drought recognition with senzor and raster data integration V sklopu diplomskega dela predstavljamo metodo za razpoznavanje suše, ki temelji na integraciji satelitskih podatkov, iz njih izvedenih podatkovnih produktov, kot sta to normaliziran vegetacijski indeks in indeks vlažnostnega stresa, s senzorskimi podatki o vremenu, vključno s povprečnimi padavinami, zračno vlažnostjo in temperaturo. Podatke smo pridobili preko aplikacijskih programskih vmesnikov ter jih integrirali v podatkovne zbirke, nad katerimi smo izvedli strojno učenje. Slednje je vključevalo metode k-najbližjih sosedov, podporne vektorje in naključni gozd. Rezultati so pokazali, da v našem primeru dosežemo najvišjo natančnost glede na metriko F1 z uporabo slednjega. In the scope of this thesis, we present a method for drought detection based on the integration of satellite data, derived data products, such as the Normalized Difference Vegetation Index and Moisture Stress Index, and weather sensor data, including average precipitation, air humidity, and temperature. The relevant data sources were acquired using application programming interfaces and integrated into a common data representation. The drought detection was conducted using several different algorithms, including K-Nearest Neighbors, Support Vector Machines, and Random Forest. As confirmed by the results, later turned out to be the most efficient in our case in terms of F1 metrics. suša strojno učenje razpoznava drought machine learning recognition true true false [L. Hauko] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2023-08-28 12:08:17 2023-10-05 16:36:50 2023-11-11 03:12:26 0000-00-00 00:00:00 2023 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (IX, 36 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.932'1:004.85(043.2) 171693827 UN_Hauko_Luka_2023.pdf UN_Hauko_Luka_2023.pdf 1 E6BA85A30FA190B89B87F849C422D00C 6d6916c11c5761827839c6d30f42ff43ca4445ce832e25896d6898fbf95c44d9 1c8aa64c-458d-11ee-8bef-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=170525 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0