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Dr david fisher mid atlantic retina9/17/2023 ![]() ![]() ![]() Currently, users can easily view their imagery alongside data from USGS streamflow data or user-uploaded imagery. On the Flow Photo Explorer website users simply need to request an account with an email address. We see this platform as a transformative tool to expand monitoring networks into under-monitored use cases (for instance, in ephemeral stream channels) and to lower the barriers for citizen science contributions of stream monitoring information.Ĭitizen scientists, municipal, state, federal, and tribal partners are all able to contribute their imagery to the platform to easily view their trail camera imagery. While imagery-derived streamflow estimates are not a replacement for higher accuracy traditional gaging methods, they can provide supplemental information at a higher spatial density that is useful for many types of investigations. The images are housed in the USGS Flow Photo Explorer, an integrated data system and platform for storing user-contributed imagery and that will soon be trained to estimate flow from the imagery. ![]() Thanks to recent advances in artificial intelligence, it is now possible to quantitatively analyze stream imagery using a novel ranking-based approach.įor the past few years, the USGS and its partners have been collecting stream time lapses at select sites from around the country to develop this method. The USGS can potentially fill that monitoring gap with low-cost time lapse imagery of these small streams. Small-to-medium headwater streams represent crucial habitat and are the most sensitive to human impacts, though the USGS streamgage network monitoring network captures relatively few of these small streams due to technical challenges and funding limitations of covering numerous small streams. ![]()
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