Winter oilseed rape and winter wheat growth prediction using remote sensing methods

Winter oilseed rape and winter wheat growth prediction using remote sensing methods

Remote sensing is often used for yield prediction as well as for crop monitoring. This paper describes how Landsat satellite data can be used to derive a growth model calculated from normalised difference vegetation index that can predict winter wheat (Triticum aestivum) and winter oilseed rape (Bra...

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Bibliographic Details
Main Authors: J.A. Domínguez, J. Kumhálová, P. Novák
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2015-09-01
Series:Plant, Soil and Environment
Subjects:
plant growth modelling
phenological phases
spectral index
atmospheric correction
satellite images
Online Access:https://pse.agriculturejournals.cz/artkey/pse-201509-0005_winter-oilseed-rape-and-winter-wheat-growth-prediction-using-remote-sensing-methods.php

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https://pse.agriculturejournals.cz/artkey/pse-201509-0005_winter-oilseed-rape-and-winter-wheat-growth-prediction-using-remote-sensing-methods.php

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