You are here:
Characterizing Depressional Wetland Storage in a Watershed: Linking Remote Sensing and Hydrologic Modeling Approaches
Citation:
Christensen, J., G. Everson, M. Vanderhoof, Q. Wu, H. Golden, C. Lane, AND L. Alexander. Characterizing Depressional Wetland Storage in a Watershed: Linking Remote Sensing and Hydrologic Modeling Approaches. 6th Interagency Conference on Research in the Watersheds, Shepherdstown, WV, July 23 - 26, 2018.
Impact/Purpose:
Presentation at the 2018 ICRW Conference, Shepherdstown WV
Description:
During short-term wet events, many small wetlands (<10ha) spill whether in drought or deluge. This simulated spillage may influence biogeochemical and biological interactions but is generally not captured by RS efforts using Landsat. Landsat-derived surface water extent shows a stronger relationship to depressional storage. Ultimately, using remote sensing to inform and validate process‐based modeling allows us to assess both the spatial and temporal continuum of storage states across a watershed, identify approach limitations, and improve efforts to study and map dynamic aquatic systems in the PPR and beyond.
URLs/Downloads:
http://www.cvent.com/events/6th-interagency-conference-on-research-in-the-watersheds/event-summary-3567aed4bb404