Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa

Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa

The application of remote sensing methods to assess crop vigor and yields has had limited applications in Sub-Saharan Africa (SSA) due largely to limitations associated with satellite images. The increasing use of unmanned aerial vehicles in recent times opens up new possibilities for remotely sensi...

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Bibliographic Details
Main Authors: Ibrahim Wahab, Ola Hall, Magnus Jirström
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Drones
Subjects:
remote sensing
unmanned aerial vehicles
near infrared
green normalized difference vegetation index
maize yields
Online Access:http://www.mdpi.com/2504-446X/2/3/28

Internet

http://www.mdpi.com/2504-446X/2/3/28

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