Integration and Usage of Indices Feature Components and Topography in Vegetation Classification for Regional Biodiversity Assessment

2004-07-23
Domaç, Aysegül
Zeydanlı, Uğur
Ertan, Yeşilnacar
Süzen, Mehmet Lütfi
The classification of vegetation has been an important research subject in botany, ecology, geography, and other disciplines to map the differences in vegetation types. Classifying vegetation by remote sensing is valuable because it can determine vegetation distribution and occurrence for very large areas in a short time. Advances in technology have led to developments in methods of vegetation classification, leading to the creation of new and more sophisticated components and powerful techniques. Classifying original bands and/or image components may cause unsatisfactory results in spectrally chaotic fields. In such cases, the demand for accurate land-use, land-cover, vegetation, and forestry information may require more explanatory components those components should represent specific information for target land-covers and not contain redundant knowledge. In this study, spectral bands of Landsat Thematic Mapper and topographic data were used as an input. Different image components and indices were produced and then used in the Maximum Likelihood Classification method. In order to find out proper inputs for our case, newly produced components and indices were statistically compared and the bands that include the information about vegetation are selected. Overall accuracy parameter that is obtained from the Error Matrix helped to evaluate the results of the classification. Results obtained in this study suggest that using these spectrally improved bands and indices; the accuracy of the classification could be increased up to 10-15 percent.
Citation Formats
A. Domaç, U. Zeydanlı, Y. Ertan, and M. L. Süzen, “Integration and Usage of Indices Feature Components and Topography in Vegetation Classification for Regional Biodiversity Assessment,” presented at the ISPRS 2004, (12 - 23 Temmuz 2004), İstanbul, Türkiye, 2004, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/75543.