Modelling Spatio-Temporal Flood Inundation Dynamics Of Riverine Wetlands Using Time-Series Flow And Near Real Time Satellite Data
Abstract
Information regarding the spatial extent and timing of flooding in the world's major wetlands is important to a wide range of research questions including global methane models, water management, and biodiversity assessments. The Pool Malebo is one of the 33 wetlands Ramsar's priority areas in the DRC, and is subject to substantial development and pressures that require intensive hydrological modeling and monitoring. This research is focused on quantifying the wetland cover changes in the Pool Malebo, utilizing the near real time satellite data and hydraulic modelling approach. It integrated river flow time series and Moderate Resolution Imaging Spectroradiometer (MODIS) images with 10 days temporal and 250m spatial resolution to assess the wetland extent and dynamics over the study area on both temporal and spatial dimensions. The spatial and temporal dynamics of the wetland were performed by the analyses of change of the NDVI derived from MODIS and the different areas cover by different land cover types (bare soil, water, and vegetation). The NDVI product, acquired in the wet season from 2006 to 2015, are classified into three main land cover classes namely water, vegetation and soil by using the knowledge of the area in order to clearly separate bare soil and vegetation from water within the wetland. Flow data of the same period, acquired from the port station of Kinshasa, were analyzed to derive flow peaks by using the annual flood series method. The flood extent maps generated with HEC-RAS model were compared to water extent from the classification for validation purposes. The area of different land cover types were extracted from the maps and plotted as histograms. The statistical analysis was done for each land cover type for the detection of trends in the areas that constitute the wetland. The results show that MODIS is useful remote sensing product for dynamic monitoring of flooding, particularly in wetlands.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.H22G..05S
- Keywords:
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- 1819 Geographic Information Systems (GIS);
- HYDROLOGYDE: 1855 Remote sensing;
- HYDROLOGYDE: 1856 River channels;
- HYDROLOGYDE: 1857 Reservoirs (surface);
- HYDROLOGY