Improving the catchment scale wetland modeling using remotely sensed data

S. Lee, I. Y. Yeo, M. W. Lang, G. W. McCarty, A. M. Sadeghi, A. Sharifi, H. Jin, Y. Liu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This study presents an integrated wetland-watershed modeling approach that capitalizes on inundation maps and geospatial data to improve spatial prediction of wetland inundation and assess its prediction uncertainty. We outline problems commonly arising from data preparation and parameterization used to simulate wetlands within a (semi-) distributed watershed model. We demonstrate how wetland inundation can be better captured by the wetland parameters developed from remotely sensed data. We then emphasize assessing model prediction using inundation maps derived from remotely sensed data. This integrated modeling approach is tested using the Soil and Water Assessment Tool (SWAT) with an improved riparian wetlands (RWs) extension, for an agricultural watershed in the Mid-Atlantic Coastal Plain, US. This study illustrates how spatially distributed information is necessary to predict inundation of wetlands and hydrologic function at the local landscape scale, where monitoring and conservation decision making take place.

Original languageEnglish (US)
Article number104069
JournalEnvironmental Modelling and Software
Volume122
DOIs
StatePublished - Dec 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

Keywords

  • Inundation maps
  • Soil and Water Assessment Tool (SWAT)
  • Wetland inundation
  • Wetland-watershed modeling approach

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