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Robert R. Lotspeich
Robert (Russ) Lotspeich is a Hydrologist in the Hydrologic Networks Branch of the USGS Water Resources Mission Area.
Russ is a Hydrologist with interests in developing new and innovative technologies and methods to aide in data collection activities across the Water Enterprise. As the Research to Operations and Experimental Data Lead for the Observing Systems Division and the NGWOS Research and Development Sub-program Manager, Russ leads national efforts to develop and evaluate innovative water monitoring tools for transition into USGS operational networks.
Professional Experience
2022 to present - Research to Operations and Experimental Data Lead, U.S. Geological Survey, Observing Systems Division, Hydrologic Networks Branch
2016 to 2022 – Surface Water Specialist, U.S. Geological Survey, Virginia and West Virginia Water Science Center
2011 to 2016 – Supervisory Hydrologist, U.S. Geological Survey, Virginia and West Virginia Water Science Center
2004 to 2011 – Hydrologist, U.S. Geological Survey, Virginia and West Virginia Water Science Center
2000 to 2004 – Hydrologic Technician, U.S. Geological Survey, Virginia and West Virginia Water Science Center
Education and Certifications
B.S., Geology, The College of William and Mary
Science and Products
GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions
Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages
Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016
The Surge, Wave, and Tide Hydrodynamics (SWaTH) network of the U.S. Geological Survey—Past and future implementation of storm-response monitoring, data collection, and data delivery
Regional Curves of Bankfull Channel Geometry for Non-Urban Streams in the Piedmont Physiographic Province, Virginia
ZenRiver game concept: accelerating creation of machine learning imagery training datasets using citizen science
New Crowd Sourcing Will Contribute to Study of Land Subsidence and Sea-Level Rise in the Chesapeake Bay
Hampton Roads Benchmark Monitoring Network
Vertical Land Motion Global Navigation Satellite System (GNSS) Campaigns, Southeast Virginia (ver. 2.0, December 2022)
Entry of the National Ocean Service and USGS
Science and Products
GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions
Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages
Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016
The Surge, Wave, and Tide Hydrodynamics (SWaTH) network of the U.S. Geological Survey—Past and future implementation of storm-response monitoring, data collection, and data delivery
Regional Curves of Bankfull Channel Geometry for Non-Urban Streams in the Piedmont Physiographic Province, Virginia
ZenRiver game concept: accelerating creation of machine learning imagery training datasets using citizen science
New Crowd Sourcing Will Contribute to Study of Land Subsidence and Sea-Level Rise in the Chesapeake Bay
Hampton Roads Benchmark Monitoring Network
Vertical Land Motion Global Navigation Satellite System (GNSS) Campaigns, Southeast Virginia (ver. 2.0, December 2022)
Entry of the National Ocean Service and USGS
Entry of the National Ocean Service and USGS