Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data

  • Ronny Schroeder
    Department of Earth and Atmospheric Sciences, CUNY Environmental CrossRoads Initiative and NOAA-CREST Institute, The City College of New York, City University of New York, New York, NY 10031, USA
  • Kyle McDonald
    Department of Earth and Atmospheric Sciences, CUNY Environmental CrossRoads Initiative and NOAA-CREST Institute, The City College of New York, City University of New York, New York, NY 10031, USA
  • Bruce Chapman
    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
  • Katherine Jensen
    Department of Earth and Atmospheric Sciences, CUNY Environmental CrossRoads Initiative and NOAA-CREST Institute, The City College of New York, City University of New York, New York, NY 10031, USA
  • Erika Podest
    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
  • Zachary Tessler
    CUNY Advanced Science Research Center, Environmental CrossRoads Initiative, City University of New York, New York, NY 10031, USA
  • Theodore Bohn
    School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA
  • Reiner Zimmermann
    Institute of Botany, University of Hohenheim, 70593 Stuttgart, Germany

Description

<jats:p>The sensitivity of Earth’s wetlands to observed shifts in global precipitation and temperature patterns and their ability to produce large quantities of methane gas are key global change questions. We present a microwave satellite-based approach for mapping fractional surface water (FW) globally at 25-km resolution. The approach employs a land cover-supported, atmospherically-corrected dynamic mixture model applied to 20+ years (1992–2013) of combined, daily, passive/active microwave remote sensing data. The resulting product, known as Surface WAter Microwave Product Series (SWAMPS), shows strong microwave sensitivity to sub-grid scale open water and inundated wetlands comprising open plant canopies. SWAMPS’ FW compares favorably (R2 = 91%–94%) with higher-resolution, global-scale maps of open water from MODIS and SRTM-MOD44W. Correspondence of SWAMPS with open water and wetland products from satellite SAR in Alaska and the Amazon deteriorates when exposed wetlands or inundated forests captured by the SAR products were added to the open water fraction reflecting SWAMPS’ inability to detect water underneath the soil surface or beneath closed forest canopies. Except for a brief period of drying during the first 4 years of observation, the inundation extent for the global domain excluding the coast was largely stable. Regionally, inundation in North America is advancing while inundation is on the retreat in Tropical Africa and North Eurasia. SWAMPS provides a consistent and long-term global record of daily FW dynamics, with documented accuracies suitable for hydrologic assessment and global change-related investigations.</jats:p>

Journal

  • Remote Sensing

    Remote Sensing 7 (12), 16688-16732, 2015-12-09

    MDPI AG

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