Physically based and machine learning models are increasingly data hungry. To keep pace with advances in environmental modeling and management, there is a corresponding need for novel data collection approaches that advance beyond past technology in terms of sensing resolution, spatial extent, and/or cost. We invite presentations of research related to new paradigms for environmental sensing. Topics could include UAV-based sensing, distributed fiber-optic sensing of temperature or other variables, development of inexpensive do-it-yourself or internet-of-things sensors, or any approach to environmental sensing that will help move environmental science disciplines forward as we try to better measure and understand the environment around us.
3:30 - 3:45: A novel low-cost open-source clarity sensor for open hydrology
Presenter(s): Ed Clayton, PhD candidate, University of Auckland, Jon Tunnicliffe, University of Auckland
3:45 - 4:00:
Presenter(s): ju hyoung lee , RADARSAT-2 SYNTHETIC APERTURE RADAR (SAR) SOIL MOISTURE OVER PRAIRIE REGION AT BRIGHT WATER CREEK, ,
3:45 - 4:00:
Presenter(s): ju hyoung lee , RADARSAT-2 SYNTHETIC APERTURE RADAR (SAR) SOIL MOISTURE OVER PRAIRIE REGION AT BRIGHT WATER CREEK, ,
4:00 - 4:15: Performance Evaluation of the RADARSAT Constellation Mission for Soil Moisture Retrieval by Compact Polarimetry
Presenter(s): Mohammed Dabboor, , Science and Technology Branch, Environment and Climate Change Canada,
4:15 - 4:30: Mapping spatiotemporal variability in coastal water temperatures using UAV-based thermal imaging and fiber-optic thermal sensing
Presenter(s): Kathryn Smith, PhD Candidate, Dalhousie University, Jeffrey M. McKenzie, Department of Earth and Planetary Sciences, McGill University, Montreal, Quebec; Barret L. Kurylyk, Department of Civil and Resource Engineering and Centre for Water Resources Studies, Dalhousie University, Halifax, Nova Scotia
4:30 - 4:45: Stormy seas change up degrees: Using heat as a novel tracer of coastal dynamics and aquifer salinization in response to coastal storms
Presenter(s): Julia Cantelon, Ph.D. Candidate, Dalhousie University, Barret L. Kurylyk, barret.kurylyk@dal.ca, Civil and Resource Engineering, Dalhousie University
4:45 - 5:00: Improving Irrigation Scheduling Using Thermal Remote Sensing Indices
Presenter(s): Emily Cline, MSc Researcher, University of Saskatchewan, Warren Helgason, Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Evan Derdall, Agriculture and Agri-Food Canada, Saskatoon, SK
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