Jonas Ardö
Professor
Land use studies in drylands: an evaluation of object-oriented classification of very high resolution panchromatic imagery
Author
Summary, in English
Object-oriented classification approaches offer an alternative to per-pixel methods for assessment of land use and land cover. Combining object-oriented approaches with very high resolution imagery may provide enhanced possibilities for applications requiring land use and land cover data. The aim of this study is to evaluate the application of object-oriented classification of panchromatic very high resolution data in African drylands, where sizes and shapes of fields are varied, and intercropping practised, which might lead to difficulties in image segmentation. The results show that region-based segmentation is sensitive to the proportion of spectral and shape information and the best results were gained when the segmentation was based on predominately spectral information. The accuracy (Kappa value of 0.6) for the object-oriented classification was significantly higher than that for per-pixel classification. However, both the segmentation and the classification were time-consuming based on a trial and error process.
Department/s
- LUCSUS (Lund University Centre for Sustainability Studies)
- Dept of Physical Geography and Ecosystem Science
Publishing year
2008
Language
English
Pages
7129-7140
Publication/Series
International Journal of Remote Sensing
Volume
29
Issue
24
Document type
Journal article
Publisher
Taylor & Francis
Topic
- Social Sciences Interdisciplinary
- Physical Geography
Status
Published
ISBN/ISSN/Other
- ISSN: 1366-5901