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Utility of texture combinations computed from fused WorldView-2 imagery in discriminating commercial forest species.
- Source :
-
Geocarto International . Dec2022, Vol. 37 Issue 23, p6915-6931. 17p. - Publication Year :
- 2022
-
Abstract
- Commercial forest species discrimination is valuable for optimal management of commercial forests. Therefore, second-order image texture combinations computed from a 0.5 m WorldView-2 pan-sharpened image integrated with sparse partial least squares discriminant analysis (SPLS-DA) and partial least squares discriminant analysis (PLS-DA) were used to discriminate commercial forest species. The findings show that the SPLS-DA model, which is characterised by concurrent variable selection and reduction of data dimensionality, produced an overall classification accuracy of 86%, with an allocation disagreement of 9 and a quantity disagreement of 5. Conversely, the PLS-DA model with variable importance in projection (VIP) produced an overall classification accuracy of 81%, with an allocation disagreement of 12 and a quantity disagreement of 7. Overall, this study demonstrates the value of second-order image texture combinations in discriminating commercial forest species and presents an opportunity for improved commercial forest species delineation. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FOREST management
*DATA reduction
*TEXTURES
*SPECIES
*LEAST squares
Subjects
Details
- Language :
- English
- ISSN :
- 10106049
- Volume :
- 37
- Issue :
- 23
- Database :
- Academic Search Index
- Journal :
- Geocarto International
- Publication Type :
- Academic Journal
- Accession number :
- 159176707
- Full Text :
- https://doi.org/10.1080/10106049.2021.1952316