EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/24/2018 | 9:00 AM - 9:15 AM | PATTERNS IN ARCTIC FRESHWATER LANDSCAPES ANALYZED USING REMOTE SENSING | 330 B
PATTERNS IN ARCTIC FRESHWATER LANDSCAPES ANALYZED USING REMOTE SENSING
The lack of location data of fish species makes conservation of freshwater biodiversity difficult in remote places like the National Petroleum Reserve Alaska on the Alaskan North Slope. Species distribution models (SDMs) are one way to estimate species distributions, but to apply SDMs across entire landscapes, we need environmental data for all watersheds in that landscape. To analyze watersheds across thousands of watersheds, we adapted a process for accumulating watershed environmental data developed by the EPA for the contiguous US (StreamCat) to characterizing North Slope environments.
We then applied the StreamCat process for characterizing watershed environments to both remotely sensed and other spatial data such as characterizations of soil and permafrost. Summarizing satellite measurements of water vapor, temperature, and vegetation from MODIS satellites allowed us to also characterize temporal environmental variability.
We saw several interesting inter-year and spatial patterns. An example of which would be land surface temperature were cooler at sites at lower latitudes and higher elevation than sites at higher latitudes. StreamCat watershed data showed the effects of stream source (foothills vs. coastal plain) on local environments, with coastal plain rivers being colder than ones originating in foothills.
- Distribution
- Arctic
- Landscape
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Presenters/Authors
John Olson
(), Dept of Applied Environmental Science, California State University Monterey Bay, CA, USA, joolson@csumb.edu;
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Jessie Doyle
(), ORISE Research Fellow, jdoyle@csumb.edu;
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