<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution</dc:title>
  <dc:creator>Aires, F.</dc:creator>
  <dc:creator>Prigent, C.</dc:creator>
  <dc:creator>Fluet-Chouinard, E.</dc:creator>
  <dc:creator>Yamazaki, D.</dc:creator>
  <dc:creator>/Papa, Fabrice</dc:creator>
  <dc:creator>Lehner, B.</dc:creator>
  <dc:subject>Wetlands and Inundation</dc:subject>
  <dc:subject>Remote sensing</dc:subject>
  <dc:subject>Landsat</dc:subject>
  <dc:subject>Passive microwaves</dc:subject>
  <dc:description>Several 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. They are either based on visible imagery from Landsat - the Global 3-second Water Body Map (G3WBM) and the Global Surface Water Explorer (GSWE) - or on the merging of passive/active microwave and visible observations - Global Inundation Extent from Multi-Satellite (GIEMS-D3) - that has been downscaled from a native resolution of 25 km x 25 km to the 90 m x 90 m resolution. The 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. Results show that due to their very high spatial resolution (30 m) the Landsat-based datasets are well suited to retrieve open water surfaces, even at very small size. GIEMS-D3 has a better ability to detect water under vegetation and during the cloudy season, and it shows larger seasonal dynamics. However, 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. The permanent waters for G3WBM, GSWE, GIEMS-D3 and GLWD represent respectively: 2.76, 2.05, 3.28, and 3.04 million km(2). The transitory waters shows larger discrepancies: 0.48, 3.72, 10.39 and 8.81 million km(2). Synthetic Aperture Radar (SAR) data (from ENVIronment SATellite (ENVISAT), Sentinel and soon the Surface Water Ocean Topography (SWOT)) would be a good complementary information because they have a high nominal spatial resolution and are less sensitive to clouds than visible measurements. However, global SAR datasets are still not available due to difficulties in developing a retrieval scheme adequate at the global scale. In 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-D3 to exploit the full time series of microwave observations (from 1978 to present), (2) develop an approach to fuse the GSWE and GIEMS-D3 datasets leveraging the strengths of both, and (3) prepare for the release of SAR global datasets.</dc:description>
  <dc:date>2018</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010074140</dc:identifier>
  <dc:identifier>fdi:010074140</dc:identifier>
  <dc:identifier>Aires F., Prigent C., Fluet-Chouinard E., Yamazaki D., Papa Fabrice, Lehner B.. Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution. 2018, 216,  427-441</dc:identifier>
  <dc:language>EN</dc:language>
</oai_dc:dc>
