Mapping flood extent using hydraulic models and JERS-1 SAR data on the Tar River floodplain / by Tao Zheng.
| Author/creator | Zheng, Tao author. |
| Other author | Wang, Yong (Geoscientist), degree supervisor. |
| Other author | East Carolina University. Department of Geography. |
| Format | Theses and dissertations |
| Production | 2003. |
| Description | 64 leaves : illustrations, maps ; 28 cm |
| Supplemental Content | Access via ScholarShip |
| Subjects |
| Summary | The research reported in this thesis is focused on the flood extent mapping using hydraulic models and Remote sensing data. Very frequently, reliable and accurate representations of flood extent are needed to manage, respond, and mitigate in emergency situation. A portion of the Tar River basin provides an excellent laboratory for comparative study because of the data availability and easy access. In the first portion of the research, DEM-Inundation model is developed as a simple and easy-to-use flood mapping model. The DEM-Inundation model and HEC-RAS model, which is able to reach high accuracy but complex in parameter preparation, are used to map the flood extent within a study area of about 156 km2 within the lower Tar River basin. Flood extents are analyzed under three representative flow conditions: regular flow, flood-stage flow, and extreme high flood flow. Comparisons and accuracy evaluation indicates that the DEM-Inundation model achieved similar accuracy to the HEC-RAS model under all three representative flow conditions. Therefore, DEM-Inundation model can be used as an alternative to the HEC-RAS model in needs of fast implementations. In the second portion of the research reported here, a filtering method to prepare SAR data for flood mapping is developed. The adaptive filter adopts different filtering approaches based on the distribution of the pixel values within kernel in order to reduce speckles and retain edges/boundaries. Supervised classifications were carried out on the original, adaptive filtered, and the median filtered SAR data acquired on the lower Tar River basin on two dates. The derived flood extents are compared and their accuracies are evaluated. The results indicates that the adaptive filter is able to lead to higher mapping accuracy. This research is part of an on-going program of work dedicated to the improvement of flood mapping. It suggested directions for future improvements for flood mapping using hydraulic models and remote sensing data. |
| General note | Presented to the faculty of the Department of Geography. |
| General note | Advisor: Yong Wang |
| Dissertation note | M.A. East Carolina University 2003 |
| Bibliography note | Includes bibliographical references (leaves 62-64). |
| Genre/form | dissertations. |
| Genre/form | Academic theses |
| Genre/form | Academic theses. |
| Genre/form | Thèses et écrits académiques. |