Abstract
For cool temperate climatic conditions, the method that suits best for seasonal land-cover change identification remains uncertain. In this study, 11 different binary change detection methods were tested and compared with respect to their capability in detecting land-cover change/no-change information in different seasons. Multi-date Thematic Mapper (TM) data were used for a wide set of change image generation. A relatively new approach was applied for optimal threshold value determination for separate change/no-change areas. Research indicated that irrespective of the method used, the results from NDVI-based techniques outperformed all other tested techniques in change detection process (overall accuracy > 90% and Kappa value > 0.85 for all six change periods).
| Original language | English |
|---|---|
| Pages (from-to) | 50-54 |
| Journal | Proceedings of the Annual International Conference on Sustainable Energy and Environmental Sciences (SEES 2012) |
| Publication status | Published - 2012 |
| Event | SEES 2012: Annual International Conference on Sustainable Energy and Environmental Sciences - Singapore Duration: 13 Feb 2012 → 14 Feb 2012 |
Keywords
- Photogrammetry and Remote Sensing
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