ANALIZA SATELITSKIH SNIMAKA PRIMENOM PYTHON BIBLIOTEKA I METODA SPEKTRALNE MEŠAVINE
Abstract
The paper presents an analysis of spectral mixture models (SMA) on satellite images from the Sentinel-2 platform, aimed at classifying crop types in specific area of Bačka district. The processing of the images was carried out using Python programming language and its libraries.
Fields of Study & Subjects
Regional Development and Management Studies
Remote Sensing in Agriculture
Stonefly species taxonomy and ecology
Publication details
- Journal / source
- Zbornik radova Fakulteta tehničkih nauka u Novom Sadu
- Volume
- 40
- Issue
- 11
- Pages
- 1211–1214
- Publication date
- 2 January 2026