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Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data

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Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data

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Franch-Gras, B.; San Bautista Primo, A.; Fita-Silvestre, D.; Rubio Michavila, C.; Tarrazó-Serrano, D.; Sánchez, A.; Skakun, S.... (2021). Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data. Remote Sensing. 13(20). https://doi.org/10.3390/rs13204095

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/203339

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Title: Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data
Author: Franch-Gras, Belen San Bautista Primo, Alberto Fita-Silvestre, David Rubio Michavila, Constanza Tarrazó-Serrano, Daniel Sánchez, Antonio Skakun, Sergii Vermote, Eric Becker-Reshef, Inbal Uris Martínez, Antonio
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
Issued date:
Abstract:
[EN] Rice is considered one of the most important crops in the world. According to the Food and Agriculture Organization of the United Nations (FAO), rice production has increased significantly (156%) during the last 50 ...[+]
Subjects: Agriculture , Yield , Within-field , Rice , Remote sensing , Sentinel-2 , Surface reflectance
Copyrigths: Reconocimiento (by)
Source:
Remote Sensing. (issn: 2072-4292 )
DOI: 10.3390/rs13204095
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/rs13204095
Project ID:
info:eu-repo/grantAgreement/GVA//CIDEGENT%2F2018%2F009//Generacio Talent of the Generalitat Valenciana/
Thanks:
This research was partially funded by the program Generacio Talent of Generalitat Valenciana (CIDEGENT/2018/009).
Type: Artículo

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