Abstract
Previous studies have shown that island karst could successfully indicate paleoclimate change in the Quaternary Period. However, because of the relative inaccessibility of carbonate islands and their rural settings, the exploration of island karst features has been limited. To enhance future research, remote sensing and geospatial modeling were used in this study to improve the island karst exploration record. The results showed that fuzzy-based spatial modeling could successfully predict the island karst distributions on a simple carbonate island. The accuracy of the model was above 90 %. This method could apply to other coastal karst regions and carbonate islands in the future.
© Springer-Verlag Berlin Heidelberg 2013
© Springer-Verlag Berlin Heidelberg 2013
| Original language | English |
|---|---|
| Pages (from-to) | 1369-1377 |
| Number of pages | 9 |
| Journal | Environmental Earth Sciences |
| Volume | 71 |
| Issue number | 3 |
| Online published | 21 May 2013 |
| DOIs | |
| Publication status | Published - Feb 2014 |
| Externally published | Yes |
Funding
Acknowledgments We hereby acknowledge the financial support from Exxon Mobil. We also acknowledge Ms. Pat Kambesis, Mr. Jon Sumrall, and Mr. Erik Larson from the Department of Geosciences, Mississippi State University for their help in fieldwork data collection. We acknowledge the comments of remote sensing techniques from Dr. Deepak Mishra, Department of Geography, University of Georgia, and the constructive input from the anonymous reviewers.
Research Keywords
- Carbonate islands
- Geomorphology
- GIS
- Karst
- Remote sensing
- Spatial modeling