Separating Crop Species in Northeastern Ontario Using Hyperspectral Data

Separating Crop Species in Northeastern Ontario Using Hyperspectral Data

The purpose of this study was to examine the capability of hyperspectral narrow wavebands within the 400–900 nm range for distinguishing five cash crops commonly grown in Northeastern Ontario, Canada. Data were collected from ten different fields in the West Nipissing agricultural zone (46°24'N...

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Bibliographic Details
Main Authors: Jeffrey H. Wilson, Chunhua Zhang, John M. Kovacs
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing
precision agriculture
crop separability
optimal timing
wheat
canola
soybean
oat
barley
Online Access:http://www.mdpi.com/2072-4292/6/2/925

Internet

http://www.mdpi.com/2072-4292/6/2/925

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