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Welcome to the spring edition of the Upstream Tech quarterly newsletter! We are excited to share a few product development updates and news as our team grows.

Product Updates: Streamflow

Streamflow forecasting traditionally requires gauges or costly and basin-specific hydrological modeling. We are developing machine learning models to forecast streamflow in any basin given weather and landscape characteristics. We are blown away by the early results: as shown in the graphs below, our early models are already predicting streamflow in ungauged basins with higher accuracy than physical models! We are continuing to iterate and calibrate these models, with a streamflow forecasting release this spring. 

Product Updates: Land Cover 

Land cover change causes significant impacts for ecosystems and communities. With our land cover classifications, users can analyze over 20 classes to monitor changes in land use and landscape conditions, such as developed land or deforestation, as shown in the image below. 

Testing 1, 2, 3
We are looking for folks willing to test out some of our latest experiments. Respond to this email to learn more!
News
Two papers co-authored by Upstream Tech team members have been published this year: Stay up-to-date through our blog and check out the latest posts from the team:
Events & Conferences
Alden and Marshall will be representing Upstream Tech at the CEATI International Hydropower 2019 conference in Tucson, Arizona March 19-20. Reach out to learn more about how our streamflow predictions can improve decision making across the water-energy-food nexus!
Marshall will be attending the Lincoln Institute of Land Policy 2019 Journalists Forum March 29-30. 
At the Bayer AgVocacy Forum last month, Marshall presented on how satellite data and machine learning can improve decision-making for sustainable agriculture.
Meet the new Upstream Tech team members!
In December, Emily joined Upstream Tech as a Software Engineer. She’s previously worked on map design and hosting platforms at Mapbox, behavioral design and marketing at Opower, and coral geometry research at Northwestern University. She lives in Austin, Texas where she enjoys – you guessed it – local food, live music, and soaking up the sun.
Mehak joined Upstream Tech in January 2019 as a Machine Learning Engineering Intern. She is working on deriving Sentinel-2's vegetation and water interpretations, like NDVI and NDWI, from Sentinel-1 data. She is pursuing Masters in Computer Science at The University of Texas at Dallas, and loves reading, writing and hiking in her free time.
David joined Upstream Tech in February as a Software Engineer. Previously he worked in quantitative finance building statistical investment models for currencies and fixed income. He lives in Somerville, MA and enjoys any activity which involves spending time in the mountains - rock & ice climbing, and ski mountaineering.
Visit our website at https://upstream.tech/
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