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 lat., 80°07'W long.) and included two of each of the following crop types; soybean (Glycine max), canola (Brassica napus L.), wheat (Triticum spp.), oat (Avena sativa), and barley (Hordeum vulgare). Stepwise discriminant analysis was used to assess the spectral separability of the various crop types under two scenarios; Scenario 1 involved testing separability of crops based on number of days after planting and Scenario 2 involved testing crop separability at specific dates across the growing season. The results indicate that select hyperspectral bands in the visual and near infrared (NIR) regions (400–900 nm) can be used to effectively distinguish the five crop species under investigation. These bands, which were used in a variety of combinations include B465, B485, B495, B515, B525, B535, B545, B625, B645, B665, B675, B695, B705, B715, B725, B735, B745, B755, B765, B815, B825, B885, and B895. In addition, although species classification could be achieved at any point during the growing season, the optimal time for satellite image acquisition was determined to be in late July or approximately 75–79 days after planting with the optimal wavebands located in the red-edge, green, and NIR regions of the spectrum.
Separating Crop Species in Northeastern Ontario Using Hyperspectral Data
Jeffrey H. Wilson,Chunhua Zhang,J. Kovacs
Published 2014 in Remote Sensing
ABSTRACT
PUBLICATION RECORD
- Publication year
2014
- Venue
Remote Sensing
- Publication date
2014-01-24
- Fields of study
Agricultural and Food Sciences, Computer Science, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- crop species separability
The ability to distinguish soybean, canola, wheat, oat, and barley from their spectral signatures.
Aliases: species classification, crop discrimination
- green region
The visible green portion of the spectrum used among the informative bands.
Aliases: green wavelengths
- hyperspectral narrow wavebands
Narrow spectral bands between 400 and 900 nm used as features for crop discrimination.
Aliases: narrow wavebands
- near-infrared region
The near-infrared portion of the spectrum used among the informative bands.
Aliases: NIR
- optimal acquisition window
The late-July period, corresponding to about 75–79 days after planting, identified as the best time for image acquisition.
Aliases: late July, 75–79 days after planting
- red-edge region
The spectral interval around the vegetation red-edge between the red and near-infrared portions of the spectrum.
Aliases: red edge
- stepwise discriminant analysis
A multivariate classification procedure used to select informative bands and evaluate separability among crop types.
REFERENCES
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