Busy week for the RSGAL faculty. Dr. Moskal and Dr. Halabisky are organizing two wetland themed sessions at the annual Association of American Geographers (AAG) meeting in New Orleans, think +10,000 geographers converging at one location, lots of great talks and connections to be made. Below is the info on our sessions. We also get to hang out with a past RSGAL member, Prof. Diane Styers, now at Western Carolina University, who presented at the conference. We hope to do something similar at AAG2019 in Washington, DC.
Spatiotemporal Analysis of Wetlands Part I & II Sponsor Groups: Remote Sensing Specialty Group Day: 4/12/2018 Start / End Time: 3:20 PM / 5:00 PM and 5:20-7:00 PM Room: Bonaparte, Marriott, River Tower Elevators, 4th Floor Organizers: L. Monika Moskal, Meghan Halabisky Chairs: Meghan Halabisky
Call for Papers
Please email your submitted abstracts for the session with your AAG abstract PIN to: lmmoskal@uw.edu and halabisk@uw.edu Assure that you use the subject: “AAG2018 Spatiotemporal Analysis of Wetlands” in the subject You should hear within 48 hours if your paper has been accepted to the session, if you do not hear from us within three business day feel free to call Dr. Moskal at (206) 225-1510. 5 presentations, or 4 presentations and a discussant. Each paper is expected to conform to the 20-minute time limit.
Description
This is part one of a two part series.
Wetlands provide an array of beneficial services to humans and the environment such as flood reduction, groundwater recharge, carbon storage and habitat biodiversity. Monitoring and assessment of wetlands is critical, but is challenged by their high spatial and temporal variability. For these reasons remote sensing has proven a useful tool. While computer aided detection of wetlands is important it is also essential to monitor how wetland function changes over time. This session aims at bringing the fields of wetland detection and wetland change monitoring together, to explore the potential of merging new technologies and tools including object based image analysis, structure from motion (SfM), Google Earth Engine and their applications to remotely sensed data including radar, LiDAR and high spatial and temporal frequency satellite imagery.
Professor Moskal specializes in Remote Sensing (Earth Observation) at the School of Environmental and Forest Sciences (SEFS), within the College of the Environment, She serves as the Director of the Precision Forestry Cooperative (PFC), and the lead PI of the Remote Sensing and Geospatial Analysis Laboratory (RSGAL).
