| Title | Agricultural Applications of Airborne Hyperspectral Data: Weed Detection |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Deguise, J -C; Staenz, K; Lefebvre, J |
| Source | Fourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., https://doi.org/10.4095/219524  Open Access |
| Year | 1999 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042722 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 1999 01 01 |
| Abstract | Weed infestation in commercial crops in Canada is a major problem to producers. To help the reduction of the amount of herbicides used for the control of weeds, the potential of high spatial resolution
airborne hyperspectral data was exploited for the detection of weeds in a crop of canola. Both manual and automatic endmember selection approaches were used to extract the weed endmember spectrum from the image cube. Results obtained from constrained
linear spectral unmixing using this endmember are discussed. |
| GEOSCAN ID | 219524 |
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