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- Title
Change Detection Techniques for Use in a Statewide Forest Inventory Program.
- Authors
Wilkinson, D.W.; Parker, R.C.; Evans, D.L.
- Abstract
Eight change detection procedures and a hybrid forest type classification procedure were tested for their ability to detect forest land-cover change in east-central Mississippi. The best performing method was change vector analysis using vegetation indices with an image segmentation classification that produced an overall accuracy (82.50 percent) and overall Kappa (0.7900) calculated from error matrices. The hybrid forest type classification had an overall accuracy of 77.08 percent for 1997 and 71.25 percent for 2002. The results of this study were compared to a prior pilot inventory study for the same study area in east-central Mississippi. There was considerable disagreement between the two studies in terms of number of hectares in the age classes and the forest type classes, most likely attributed to the difference in methods for determining forest type classes.
- Subjects
MISSISSIPPI; UNITED States; TREES; PRODUCT management; CLASSIFICATION; UNIVERSAL algebra; VECTOR analysis; COMPLEX numbers; NURSERY stock
- Publication
Photogrammetric Engineering & Remote Sensing, 2008, Vol 74, Issue 7, p893
- ISSN
0099-1112
- Publication type
Article
- DOI
10.14358/PERS.74.7.893