Integration of Sentinel-3 and MODIS Vegetation Indices with ERA-5 Agro-Meteorological Indicators for Operational Crop Yield Forecasting

Integration of Sentinel-3 and MODIS Vegetation Indices with ERA-5 Agro-Meteorological Indicators for Operational Crop Yield Forecasting

Timely crop yield forecasts at a national level are substantial to support food policies, to assess agricultural production, and to subsidize regions affected by food shortage. This study presents an operational crop yield forecasting system for Poland that employs freely available satellite and agr...

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Bibliographic Details
Main Authors: Jędrzej S. Bojanowski, Sylwia Sikora, Jan P. Musiał, Edyta Woźniak, Katarzyna Dąbrowska-Zielińska, Przemysław Slesiński, Tomasz Milewski, Artur Łączyński
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
crop monitoring
crop yield
data calibration
extreme gradient boosting
growing degree days
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/5/1238

Internet

https://www.mdpi.com/2072-4292/14/5/1238

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