@article{fdi:010074140,
  title = {{C}omparison of visible and multi-satellite global inundation datasets at high-spatial resolution},
  author = {{A}ires, {F}. and {P}rigent, {C}. and {F}luet-{C}houinard, {E}. and {Y}amazaki, {D}. and {P}apa, {F}abrice and {L}ehner, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}everal new satellite-derived and long-term surface water datasets at high-spatial resolution have recently become available at the global scale, showing different characteristics and abilities. {T}hey are either based on visible imagery from {L}andsat - the {G}lobal 3-second {W}ater {B}ody {M}ap ({G}3{WBM}) and the {G}lobal {S}urface {W}ater {E}xplorer ({GSWE}) - or on the merging of passive/active microwave and visible observations - {G}lobal {I}nundation {E}xtent from {M}ulti-{S}atellite ({GIEMS}-{D}3) - that has been downscaled from a native resolution of 25 km x 25 km to the 90 m x 90 m resolution. {T}he objective of this paper is to perform a thorough comparison of the different water surface estimates in order to identify the advantages and disadvantages of the two approaches and propose a strategy for future developments of high-resolution surface water databases. {R}esults show that due to their very high spatial resolution (30 m) the {L}andsat-based datasets are well suited to retrieve open water surfaces, even at very small size. {GIEMS}-{D}3 has a better ability to detect water under vegetation and during the cloudy season, and it shows larger seasonal dynamics. {H}owever, its current version overestimates surface water extent on water-saturated soils, and due to its low original (i.e. before downscaling) spatial resolution, it is under-performing at detecting small water bodies. {T}he permanent waters for {G}3{WBM}, {GSWE}, {GIEMS}-{D}3 and {GLWD} represent respectively: 2.76, 2.05, 3.28, and 3.04 million km(2). {T}he transitory waters shows larger discrepancies: 0.48, 3.72, 10.39 and 8.81 million km(2). {S}ynthetic {A}perture {R}adar ({SAR}) data (from {ENVI}ronment {SAT}ellite ({ENVISAT}), {S}entinel and soon the {S}urface {W}ater {O}cean {T}opography ({SWOT})) would be a good complementary information because they have a high nominal spatial resolution and are less sensitive to clouds than visible measurements. {H}owever, global {SAR} datasets are still not available due to difficulties in developing a retrieval scheme adequate at the global scale. {I}n order to improve our estimates of global wetland extents at high resolution and over long-term records, three interim lines of action are proposed: (1) extend the temporal record of {GIEMS}-{D}3 to exploit the full time series of microwave observations (from 1978 to present), (2) develop an approach to fuse the {GSWE} and {GIEMS}-{D}3 datasets leveraging the strengths of both, and (3) prepare for the release of {SAR} global datasets.},
  keywords = {{W}etlands and {I}nundation ; {R}emote sensing ; {L}andsat ; {P}assive microwaves},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {216},
  numero = {},
  pages = {427--441},
  ISSN = {0034-4257},
  year = {2018},
  DOI = {10.1016/j.rse.2018.06.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074140},
}