Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery |
| |
| Institution: | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3. Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada;1. Universities Space Research Association, Columbia, MD 21044, USA;2. Biospheric Sciences Laboratory, National Aeronautics and Space Administration/Goddard Space Flight Center, Greenbelt, MD 20771, USA;3. Sigma Space Corporation, Lanham, MD 20706, USA;4. Climate and Radiation Laboratory, Code 613, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD 20771, USA;5. Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, MD 21228, USA;6. Hydrology and Remote Sensing Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD 20705, USA;7. School of Natural Resources, University of Nebraska—Lincoln, Lincoln, NE 68588, USA |
| |
| Abstract: | Flood inundation is crucial to the survival and prosperity of flora and fauna communities in floodplain and wetland ecosystems. This study tried to map flood inundation characteristics in the Murray-Darling Basin, Australia, utilizing hydrological and remotely sensed data. It integrated river flow time series and Moderate Resolution Imaging Spectroradiometer (MODIS) images to map inundation dynamics over the study area on both temporal and spatial dimensions. Flow data were analyzed to derive flow peaks and Annual Exceedance Probabilities (AEPs) using the annual flood series method. The peaks were linked with MODIS images for inundation detection. Ten annual maximum inundation maps were generated for water years 2001–2010, which were then overlaid to derive an inundation frequency map. AEPs were also combined with the annual maximum inundation maps to derive an inundation probability map. The resultant maps revealed spatial and temporal patterns of flood inundation in the basin, which will benefit ecological and environmental studies when considering response of floodplain and wetland ecosystems to flood inundation. |
| |
| Keywords: | Observed flow Annual flood series MODIS OWL Inundation frequency Inundation probability |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
