A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data

A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data

Remote sensing technologies are essential for monitoring crop development and improving agricultural management. This study investigates the automation of Sentinel-2 satellite data processing to enhance wheat growth monitoring and provide actionable insights for smallholder farmers. The objectives i...

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Bibliographic Details
Main Authors:	Konstantinos Ntouros, Konstantinos Papatheodorou, Georgios Gkologkinas, Vasileios Drimzakas-Papadopoulos
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Earth
Subjects:	crop yield estimation automated Sentinel-2 data processing Python framework Google Earth Engine
Online Access:	https://www.mdpi.com/2673-4834/6/1/15
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