Aires F., Miolane L., Prigent C., Pham B., Fluet-Chouinard E., Lehner B., Papa Fabrice. (2017). A global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations. Journal of Hydrometeorology, 18 (5), p. 1305-1325. ISSN 1525-755X.
Titre du document
A global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations
Aires F., Miolane L., Prigent C., Pham B., Fluet-Chouinard E., Lehner B., Papa Fabrice
Source
Journal of Hydrometeorology, 2017,
18 (5), p. 1305-1325 ISSN 1525-755X
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).
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
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Hydrologie [062]
;
Télédétection [126]
