Filling in the Data Gaps: Using the Landsat Archive and Gridded Climate Data to Assess Ecological Change
Presented by Dr. Mark Hausner, Associate Research Professor, Hydrology, DRI
Learn how scientists and practitioners are using the Landsat satellite imagery to fill historical data gaps and monitor remote locations.
Abstract: Recent advances in cloud-based data storage and distributed computing now allow scientists to analyze large remote sensing data sets in ways that were not feasible in the past. An example of this capability is based on the Landsat archive, which includes global satellite imagery that dating back to 1984. With an overpass frequency of 8-16 days and spatial resolution on the order of tens of meters, the 35 year Landsat record makes it possible to construct proxies for historical conditions that were not measured when they occur. Changes from these proxy historical baselines can be observed over time, making it possible to quantitatively assess both long-term trends in remotely sensed data and responses to disturbances (e.g. ﬁre, restoration work). This talk presents three examples of these assessments: evaluating the outcomes of stream restoration work, identifying the effects of drought mitigation strategies on frog populations, and assessing status and trends in mountain meadow ecosystems.
Biography: Mark Hausner is an Associate Research Professor of Hydrology at the Desert Research Institute. He has a BS in Civil and Environmental Engineering from Cornell University, an MS in Hydrologic Science from the University of Nevada Reno, and a PhD in Hydrogeology from UNR. Mark began his career in stormwater engineering on the east coast, and came to Nevada in 2002. His research focuses on ﬂuxes of heat and water in the environment, with a particular emphasis on interfaces between physical hydrology and ecology. With a wide ranging group of collaborators, he often works across traditional disciplines and has published peer-reviewed papers on topics as diverse as ﬁber-optic distributed temperature sensing, heat as a tracer for groundwater ﬂow, effects of climate change on desert ﬁsh populations, and the use of beavers for stream restoration. Google Scholar:
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