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Assessing field experts yield maize estimations with satellite information derived from Sentinel-2

Accurate and timely crop yield forecasts are critical for making informed agricultural policies and investments, as well as increasing market efficiency and stability. Earth observation data from space can contribute to agricultural monitoring, including crop yield assessment and forecasting. In thi...

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Autores principales: Carcedo, Diego, Pons, Diego Hernan, Alonso, Cesar, Fiant, Silvina, Scavuzzo, Carlos Marcelo, Marinelli, María Victoria
Formato: info:ar-repo/semantics/documento de conferencia
Lenguaje:Inglés
Publicado: Universidad Técnica Federico Santa María, Chile 2024
Materias:
Maiz
Zea Mays
Rendimiento de Cultivos
Economía Agrícola
Maize
Crop Yield
Agricultural Economics
Agricultural Sector
Sector Agrario
Sector Agrícola
Sentinel-2
Acceso en línea:http://hdl.handle.net/20.500.12123/19389
Sumario:Accurate and timely crop yield forecasts are critical for making informed agricultural policies and investments, as well as increasing market efficiency and stability. Earth observation data from space can contribute to agricultural monitoring, including crop yield assessment and forecasting. In this study, we present a multiple regression site-specific crop yield model based on the Normalized Difference Vegetation Index (NDVI) extracted from Sentinel – 2 data at 10 meters resolution calibrated with yield corn estimations reported by local experts at a field level.

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