Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage
Balsam woolly adelgid is an invasive pest of firs in the United States. Aerial surveys are conducted for detection of adelgid infestations but other remotely sensed data may also be useful. Our objective was to determine if high spectral resolution, branch-level data can be used to distinguish infe...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2010/498189 |
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| author | Stephen P. Cook Karen S. Humes Ryan Hruska Grant Fraley Christopher J. Williams |
| author_facet | Stephen P. Cook Karen S. Humes Ryan Hruska Grant Fraley Christopher J. Williams |
| author_sort | Stephen P. Cook |
| collection | DOAJ |
| description | Balsam woolly adelgid is an invasive pest of firs in the United States. Aerial surveys are conducted for detection of adelgid infestations but other remotely sensed data may also be useful. Our objective was to determine if high spectral resolution, branch-level data can be used to distinguish infested from noninfested trees. Stepwise discriminant analysis yielded a three-variable model (the red-green index and two narrow-bands (one at 670 nm and the other at 1912 nm)) that classified infested versus non-infested trees with 94% accuracy compared with the 83% accuracy obtained with a single-variable model. The response of trees in narrow spectral bands was integrated across wavebands to simulate measurements from the multispectral SPOT5-HRVIR sensor. Stepwise discriminant analysis again yielded a three-variable model (simple ratio, the SPOT5-HRVIR band in the SWIR region and NDVI) with similar accuracy (93%) at discriminating infested from non-infested trees compared with the 83% accuracy obtained with a single-variable model. |
| format | Article |
| id | doaj-art-3b6332fcf59c4507b924f521e5e0cf3c |
| institution | Kabale University |
| issn | 1687-9368 1687-9376 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-3b6332fcf59c4507b924f521e5e0cf3c2025-08-20T03:55:36ZengWileyInternational Journal of Forestry Research1687-93681687-93762010-01-01201010.1155/2010/498189498189Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the FoliageStephen P. Cook0Karen S. Humes1Ryan Hruska2Grant Fraley3Christopher J. Williams4Department of Plant, Soil and Entomological Sciences, University of Idaho, Moscow, ID 83844-2339, USAGeography Department, University of Idaho, Moscow, ID 83844-3021, USAEcological Science Division, Idaho National Laboratory, P.O. Box 1625, Idaho Falls, ID 83415-2213, USADepartment of Geography, San Diego State University, San Diego, CA 92182, USADepartment of Statistics, University of Idaho, Moscow, ID 83844-1104, USABalsam woolly adelgid is an invasive pest of firs in the United States. Aerial surveys are conducted for detection of adelgid infestations but other remotely sensed data may also be useful. Our objective was to determine if high spectral resolution, branch-level data can be used to distinguish infested from noninfested trees. Stepwise discriminant analysis yielded a three-variable model (the red-green index and two narrow-bands (one at 670 nm and the other at 1912 nm)) that classified infested versus non-infested trees with 94% accuracy compared with the 83% accuracy obtained with a single-variable model. The response of trees in narrow spectral bands was integrated across wavebands to simulate measurements from the multispectral SPOT5-HRVIR sensor. Stepwise discriminant analysis again yielded a three-variable model (simple ratio, the SPOT5-HRVIR band in the SWIR region and NDVI) with similar accuracy (93%) at discriminating infested from non-infested trees compared with the 83% accuracy obtained with a single-variable model.http://dx.doi.org/10.1155/2010/498189 |
| spellingShingle | Stephen P. Cook Karen S. Humes Ryan Hruska Grant Fraley Christopher J. Williams Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage International Journal of Forestry Research |
| title | Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage |
| title_full | Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage |
| title_fullStr | Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage |
| title_full_unstemmed | Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage |
| title_short | Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage |
| title_sort | identifying subalpine fir abies lasiocarpa attacked by the balsam woolly adelgid adelges piceae using spectral measurements of the foliage |
| url | http://dx.doi.org/10.1155/2010/498189 |
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