Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth monitoring and yield prediction. We estimated AGB based on images obtained with a snapshot hyperspectral sensor (UHD 185 firefly, Cubert GmbH, Ulm, Baden-Württemberg, Germany) mounted on an unmanned aerial vehicle...

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Bibliographic Details
Main Authors: Jibo Yue, Guijun Yang, Changchun Li, Zhenhai Li, Yanjie Wang, Haikuan Feng, Bo Xu
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle platforms
winter wheat biomass
hyperspectral image
crop height
partial least squares regression
Online Access:https://www.mdpi.com/2072-4292/9/7/708

Internet

https://www.mdpi.com/2072-4292/9/7/708

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