Studying the Feasibility of Assimilating Sentinel-2 and PlanetScope Imagery into the SAFY Crop Model to Predict Within-Field Wheat Yield

Spatial information embedded in a crop model can improve yield prediction. Leaf area index (LAI) is a well-known crop variable often estimated from remote-sensing data and used as an input into crop models. In this study, we evaluated the assimilation of LAI derived from high-resolution (both spatia...

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Bibliographic Details
Main Authors: V.S. Manivasagam, Yuval Sadeh, Gregoriy Kaplan, David J. Bonfil, Offer Rozenstein
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/12/2395