Falk Schuetzenmeister

Software Engineer
Technology
[email protected]

In The Nature Conservancy’s California Chapter, Falk serves as a full stack developer supporting the Science and Conservation teams by building data solutions and web-based monitoring applications. He works with very diverse data such as remote sensing products, imagery from fishery monitoring cameras, environmental sensors and mobile devices. He advocates for a versatile IoT framework and is an educational resource for scientists scripting in Python, R and JavaScript for their research and cloud services. He hopes to unlock the potential of new technologies and open source approaches for conservation.

Prior to joining the Conservancy, Falk worked as a geospatial software developer and modeling specialist at the California Invasive Plant Council, at the University of California, Berkeley’s Geospatial Innovation Facility and as a fellow at the Berkeley Institute for Data Science. He holds a Ph.D. in sociology from Technische Universität Dresden where he studied the role of technology in global environmental science.


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2019 | Freshwater | Technology | Science | Maps & Webmaps

GDE Pulse: Monitoring Groundwater Dependent Ecosystems with Satellites

Kirk Klausmeyer, Falk Schuetzenmeister, Nathaniel Rindlaub, Tanushree Biswas, Melissa M. Rohde, Jeanette Howard

94,333 unique ecosystems depend on groundwater in California. GDE Pulse lets you see how they have changed over the last 30 years.  Groundwater managers and environmental stakeholders often lack information about the health of critical groundwater dependent ecosystems (GDEs). To fill this information gap, we…


2017 | Terrestrial | Technology | Science | Publications & Reports

Testing a Remote Sensing-Based Interactive System for Monitoring Grazed Conservation Lands

Lawrence D. Ford, H. Scott Butterfield, Pete A. Van Hoorn, Kasey B. Allen, Ethan Inlander, Carrie Schloss, Falk Schuetzenmeister, Miriam Tsalyuk

The Nature Conservancy developed RDMapper, a web-based tool that uses satellite-based productivity estimates, rainfall records, and compliance history to identify easement properties at risk of being below the required level of RDM. TNC successfully used RDMapper in 2015 and 2016 to predict compliance across ~47,000…