A Global Dynamic Long-Term Inundation Extent Dataset at High Spatial Resolution Derived through Downscaling of Satellite Observations

TitleA Global Dynamic Long-Term Inundation Extent Dataset at High Spatial Resolution Derived through Downscaling of Satellite Observations
Publication TypeJournal Article
Year of Publication2017
AuthorsAires, F., Miolane L., Prigent C., Pham B., Fluet-Chouinard E., Lehner B., and Papa F.
JournalJournal of Hydrometeorology
Volume18
Issue5
Number of Pages1305-1325
Date PublishedMay
Type of ArticleArticle
Reprint Number1525-755X
LTER Accession NumberWOS:000405926000006
KeywordsMeteorology & Atmospheric Sciences, methane; water, wetland inundation; amazon basin; modis; delta; agreement; database;
Abstract

A new procedure is introduced to downscale low-spatial-resolution inundation extents from Global Inundation Extent from Multi-Satellites (GIEMS) to a 3-arc-s (90 m) dataset (known as GIEMS-D3). The methodology is based on topography and hydrography information from the HydroSHEDS database. A new floodability index is introduced and an innovative smoothing procedure is developed to ensure a smooth transition, in the high-resolution maps, between the low-resolution boxes from GIEMS. Topography information is pertinent for natural hydrology environments controlled by elevation but is more limited in human-modified basins. However, the proposed downscaling approach is compatible with forthcoming fusion of other, more pertinent satellite information in these difficult regions. The resulting GIEMS-D3 database is the only high-spatial-resolution inundation database available globally at a monthly time scale over the 1993-2007 period. GIEMS-D3 is assessed by analyzing its spatial and temporal variability and evaluated by comparisons to other independent satellite observations from visible (Google Earth and Landsat), infrared (MODIS), and active microwave (synthetic aperture radar).

DOI10.1175/JHM-D-16-0155.1
Print Copy LocationJ. Hydrometeorol.