Dr. Melanie Vanderhoof and myself are proposing a Special Session for the AWRA 2017 Specialty Conference, focused on Aquatic System Connectivity, and we would like you to consider giving a talk within our Special Session (www.awra.org/meetings/Snowbird2017). This conference will be held April 30 – May 3, 2017 in Snowbird, Utah. Our proposed session is entitled, “Using GIS and remote sensing approaches to inform aquatic system connectivity.” A summary of the Special Session is below. Conference organizers are requesting that we confirm at least a partial list of Special Session participants prior to submitting our session proposal, hence our invite.
If you are thinking of attending the conference and would like to tentatively commit to giving a talk in our Special Session then please send Melanie and myself an email with a draft topic or title. We are hoping to receive responses within the next 2 weeks, or by October 10, 2016. Also please forward this invite to others for which it may be relevant.
We are loosely coordinating our session with another proposed Special Session, “Tackling connectivity through cross-scale integration: Lessons learned in the Prairie Pothole Region” organized by Laurie Alexander, Renée Brooks, and Jay Christensen with USEPA.
The conference organizers have requested that we let you know that all speakers must pay the registration fee. Regardless it looks to be a great conference and we look forward to hopefully seeing many of you there!
Melanie Vanderhoof and Qiusheng Wu
Special Session Title: Using GIS and remote sensing approaches to inform aquatic system connectivity
Organizers: Melanie Vanderhoof and Qiusheng Wu
Melanie Vanderhoof, PhD, email@example.com, Research Geographer, Geoscience and Environmental Change Science Center, USGS, Denver, CO
Qiusheng Wu, PhD, firstname.lastname@example.org, Assistant Professor, Department of Geography, Binghamton University, Binghamton, NY
Special Session Description:
This session will focus on approaches that use GIS and remote sensing to inform hydrological, geochemical and biological connectivity on a watershed to landscape scale. This session seeks to explore connectivity at a coarser scale than measurements at individual sites. GIS can provide spatially explicit predictions of connectivity at a landscape scale, while remote sensing datasets can, in turn, provide predictions of surface depressions, flow paths, and help quantify variability in surface water extent and arrangement. This data can be used to directly predict and bound estimates of landscape-scale surface water connectivity as well as inform and validate hydrological and geochemical models of aquatic connectivity.