Estimates of Crop Yield Anomalies for 2022 in Ukraine Based on Copernicus Sentinel-1, Sentinel-3 Satellite Data, and ERA-5 Agrometeorological Indicators

Estimates of Crop Yield Anomalies for 2022 in Ukraine Based on Copernicus Sentinel-1, Sentinel-3 Satellite Data, and ERA-5 Agrometeorological Indicators

The study explores the feasibility of adapting the EOStat crop monitoring system, originally designed for monitoring crop growth conditions in Poland, to fulfill the requirements of a similar system in Ukraine. The system utilizes satellite data and agrometeorological information provided by the Cop...

Full description

Bibliographic Details
Main Authors: Ewa Panek-Chwastyk, Katarzyna Dąbrowska-Zielińska, Marcin Kluczek, Anna Markowska, Edyta Woźniak, Maciej Bartold, Marek Ruciński, Cezary Wojtkowski, Sebastian Aleksandrowicz, Ewa Gromny, Stanisław Lewiński, Artur Łączyński, Svitlana Masiuk, Olha Zhurbenko, Tetiana Trofimchuk, Anna Burzykowska
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Sensors
Subjects:
crop monitoring
growing degree days
machine learning
satellite data
Online Access:https://www.mdpi.com/1424-8220/24/7/2257

Internet

https://www.mdpi.com/1424-8220/24/7/2257

Similar Items