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National Innovation Center

The USGS National Innovation Center (NIC) works with public, private, and non-profit partners in Silicon Valley and elsewhere to design, test, and bring into operation the next generation of technology and engineering tools to help solve the Nation's pressing earth science challenges.

UAS Research

UAS for measuring streamflow

We support a broad range of UAS research applications and are home to the UAS Research Center where our engineers work to design, build, and field test UAS flight systems for science support. 

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6th Federal UxS Workshop

Logo for the 6th Federal UxS Workshop

The tradition continues with our 6th Federal UxS Workshop, when our community will return to explore new opportunities, continued challenges, and training opportunities together.

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Publications

Capturing patterns of evolutionary relatedness with reflectance spectra to model and monitor biodiversity

Biogeographic history can set initial conditions for vegetation community assemblages that determine their climate responses at broad extents that land surface models attempt to forecast. Numerous studies have indicated that evolutionarily conserved biochemical, structural, and other functional attributes of plant species are captured in visible-to-short wavelength infrared, 400 to 2,500 nm, refle
Authors
Daniel Mark Griffith, Kristin B. Byrd, Lee Anderegg, Elijah Allen, Demetrios Gatziolis, Dar A. Roberts, Rosie Yacoub, Ramakrishna Nemani
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National Innovation Center, Western Geographic Science Center

Variation in leaf reflectance spectra across the California flora partitioned by evolutionary history, geographic origin, and deep time

Evolutionary relatedness underlies patterns of functional diversity in the natural world. Hyperspectral remote sensing has the potential to detect these patterns in plants through inherited patterns of leaf reflectance spectra. We collected leaf reflectance data from across the California flora from plants grown in a common garden. Regions of the reflectance spectra vary in the depth and strength
Authors
Daniel M. Griffith, Kristin B. Byrd, Nicole Chin Taylor, Elijah Allan, Liz Bittner, Bart O'Brien, V. Thomas Parker, Michael C Vasey, Ryan Pavlick, Ramakrishna R. Nemani
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National Innovation Center, Western Geographic Science Center

From data to interpretable models: Machine learning for soil moisture forecasting

Soil moisture is critical to agricultural business, ecosystem health, and certain hydrologically driven natural disasters. Monitoring data, though, is prone to instrumental noise, wide ranging extrema, and nonstationary response to rainfall where ground conditions change. Furthermore, existing soil moisture models generally forecast poorly for time periods greater than a few hours. To improve such
Authors
Aniruddha Basak, Kevin M. Schmidt, Ole Mengshoel
By
Ecosystems Mission Area, National Cooperative Geologic Mapping Program, Geology, Minerals, Energy, and Geophysics Science Center, National Innovation Center
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6th Federal UxS Workshop

6th Federal UxS Workshop SAVE THE DATE! September 10-12, 2024 Southwestern Indian Polytechnic Institute Albuquerque, NM
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National Innovation Center
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6th Federal UxS Workshop

6th Federal UxS Workshop SAVE THE DATE! September 10-12, 2024 Southwestern Indian Polytechnic Institute Albuquerque, NM
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Space Economy Workshop Series 2023

Technologies to Fill Observation & Capability Gaps for the Off-World Mineral Resource Economy NASA and the United States Geological Survey (USGS) are hosting an invitational workshop intended to inform the development of new technologies to detect and assess off-world mineral resources, as well as to identify alignments with advanced terrestrial applications. April 11, 2023 at NASA Ames, Moffett...
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Energy and Minerals Mission Area, Mineral Resources Program, National Innovation Center
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Space Economy Workshop Series 2023

Technologies to Fill Observation & Capability Gaps for the Off-World Mineral Resource Economy NASA and the United States Geological Survey (USGS) are hosting an invitational workshop intended to inform the development of new technologies to detect and assess off-world mineral resources, as well as to identify alignments with advanced terrestrial applications. April 11, 2023 at NASA Ames, Moffett...
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Photo of a hillside after a fire

Characterizing high-resolution soil burn severity, erosion risk, and recovery using Uncrewed Aerial Systems (UAS)

The western United States is experiencing severe wildfires whose observed impacts, including post-wildfire floods and debris flows, appear to be increasing over time.
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California Water Science Center, Geology, Minerals, Energy, and Geophysics Science Center, National Innovation Center, Western Geographic Science Center, Wildland Fire Science
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Characterizing high-resolution soil burn severity, erosion risk, and recovery using Uncrewed Aerial Systems (UAS)

The western United States is experiencing severe wildfires whose observed impacts, including post-wildfire floods and debris flows, appear to be increasing over time.
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