Double cropping detection in the moderate continental climate region of Serbia using machine learning and Sentinel-2 data

Double cropping detection in the moderate continental climate region of Serbia using machine learning and Sentinel-2 data

Global food security is challenged by population growth and limited agricultural land. Intensifying existing cropland use is crucial for increasing agricultural production. Mapping cropping intensity, defined by annual crop cycles and commonly classified as single, double, or triple cropping, is vit...

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Bibliographic Details
Main Authors: Miljana Marković, Predrag Lugonja, Sanja Brdar, Ioannis Athanasiadis, Mirjana Radulović, Branislav Pejak, Minučer Mesaroš, Vladimir Crnojević
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:European Journal of Remote Sensing
Subjects:
Double cropping
cropping intensity
Sentinel-2
machine learning
vegetation indices
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2025.2533462
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https://www.tandfonline.com/doi/10.1080/22797254.2025.2533462

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