@article{fdi:010070359,
  title = {{A} global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations},
  author = {{A}ires, {F}. and {M}iolane, {L}. and {P}rigent, {C}. and {P}ham, {B}. and {F}luet-{C}houinard, {E}. and {L}ehner, {B}. and {P}apa, {F}abrice},
  editor = {},
  language = {{ENG}},
  abstract = {{A} new procedure is introduced to downscale low-spatial-resolution inundation extents from {G}lobal {I}nundation {E}xtent from {M}ulti-{S}atellites ({GIEMS}) to a 3-arc-s (90 m) dataset (known as {GIEMS}-{D}3). {T}he methodology is based on topography and hydrography information from the {H}ydro{SHEDS} 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}. {T}opography information is pertinent for natural hydrology environments controlled by elevation but is more limited in human-modified basins. {H}owever, the proposed downscaling approach is compatible with forthcoming fusion of other, more pertinent satellite information in these difficult regions. {T}he resulting {GIEMS}-{D}3 database is the only high-spatial-resolution inundation database available globally at a monthly time scale over the 1993-2007 period. {GIEMS}-{D}3 is assessed by analyzing its spatial and temporal variability and evaluated by comparisons to other independent satellite observations from visible ({G}oogle {E}arth and {L}andsat), infrared ({MODIS}), and active microwave (synthetic aperture radar).},
  keywords = {{AMAZONE} {BASSIN} ; {NIGER} {DELTA} ; {VIET} {NAM} ; {MEKONG} {DELTA}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrometeorology},
  volume = {18},
  numero = {5},
  pages = {1305--1325},
  ISSN = {1525-755{X}},
  year = {2017},
  DOI = {10.1175/jhm-d-16-0155.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070359},
}