EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/05/2017 | 12:00 PM - 12:15 PM | REMOTE SENSING TO CHARACTERIZE STRUCTURE AND PROCESSES IN DYNAMIC GRAVEL-BED RIVERS | 302B
REMOTE SENSING TO CHARACTERIZE STRUCTURE AND PROCESSES IN DYNAMIC GRAVEL-BED RIVERS
Dynamic processes shape the riverine landscape resulting in a shifting mosaic of both aquatic and riparian/floodplain habitats. During the past two decades, the development of remote sensing tools has dramatically increased capacity to link ecological structure and processes across spatial and temporal scales from centimeters to kilometers and from minutes to decades. We present a summary of methodologies to quantitatively assess habitats that support aquatic and terrestrial biota and the processes of geomorphic work necessary to maintain the river and floodplain shifting habitat mosaic. Spatially explicit modeling of water depth, flow velocity, shear stress, and stream power derived from surface hydraulic measurements can be combined with airborne multispectral remote sensing for detailed modeling of channel, back water, and wetland habitats. LiDAR and multispectral imaging allow researchers to spatially evaluate floodplain vegetation complexity and patch quality and dynamics over tens of square kilometers. Model results of aquatic and terrestrial habitats, within a GIS framework, demonstrate the utility of remote sensing data coupled with ground-based measures to integrate a suite of tools and delineate critical elements from evaluation of habitat quantity and quality to river assessment or evaluation of restoration plans.
- S27 Advancing Consistency in Ecological Assessments
- C06 Large River Ecology
- C14 Hydroecology & C33 Remote Sensing
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Presenters/Authors
Richard Hauer
(), University of Montana, ric.hauer@umontana.edu;
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Mark Lorang
(), Freshwatermap, mark@freshwatermap.com;
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Diane Whited
(), University of Montana, diane.whited@umontana.edu;
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Phil Matson
(), University of Montana, phil.matson@umontana.edu;
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