Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The <scp>SHIFT</scp> campaign

Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations of ecosystem function, phenology, and inter‐ and intra‐annual change. However, the full value of repeat spectroscopy, the information embedded within different temporal scales, and the reliability of existing algorithms across diverse ecosystem types and vegetation phenophases have remained elusive due to the absence of suitable sub‐seasonal spectroscopy data. In response, the Surface Biology and Geology (SBG) High‐Frequency Time Series (SHIFT) campaign was initiated during late February 2022 in Santa Barbara County, California. SHIFT, designed to support NASA's SBG mission, addressed mission scoping, scientific advancement, applications development, and community building. This ambitious endeavor included weekly Airborne Visible InfraRed Imaging Spectrometer‐Next Generation (AVIRIS‐NG) imagery acquisitions for 13 weeks (spanning February 24 to May 29, 2022), accompanied by coordinated terrestrial vegetation and coastal aquatic data collection. We describe the rich datasets collected and illustrate how the complex sub‐seasonal patterns of change can be linked to biological science and applications, surpassing insights from multispectral observations. Leveraging open‐source processing methods and cloud‐based analysis tools, the SHIFT campaign showcases the readiness of the scientific community to harness ecological insights from remotely sensed hyperspectral time series. We provide an overview of SHIFT's goals, data collections, preliminary results, and the collaborative efforts of early career scientists committed to unlocking the transformative potential of high‐frequency time series data from space‐borne VSWIR imaging spectrometers.

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Publication Details

Journal
Ecosphere
Published
2025-03-01
DOI
https://doi.org/10.1002/ecs2.70194
Citations
8
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
9.08

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article

Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign

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9.08
article

Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign

Germán D. Silva, Julia Burmistrova, Andrew J. Maguire, Jonathan P. Ocón, Philip G. Brodrick, Simon J. Hook, Tom W. Bell, Charlotte Tye, Luke Carberry, Erin L. Hestir, Renato K. Braghiere, Ethan Shafron, Natalie Queally, Philip A. Townsend, Nicholas J. Nidzieko, Fabian Schneider, Niklas Bohn, Kimberley Miner, Petya Campbell, Kelly Easterday, Michael Bernas, Kaitlin M. Gold, Francisco Ochoa, Alexey Shiklomanov, Nidhi Vinod, M. Park, Christiana Ade, Kelly Luis, Kyla M. Dahlin, Andrew J. Brooks, Emma Johnson, Brendan C. Heberlein, Kyle C. Cavanaugh, Phuong D. Dao, Maggie Klope, Robert O. Green, Niky C. Taylor, Jordan Snyder, Alessandro Giordani, David R. Thompson, Evan Lang, Kristin B. Byrd, Ting Zheng, Brittany Lopez Barreto, Kyle R. Kovach, Fred Huemmrich, Jennifer Y. King, Indra Boving, E. Neil G. Marsh, Dieu My T. Nguyen, Ryan Pavlick, Raymond F. Kokaly, Alan L. Hanson, Kate Thompson, Clayton D. Elder, Madeleine Pascolini‐Campbell, K. C. Cushman, Michael L. Eastwood, Mark Helmlinger, Elsa M. Ordway, Benjamin Poulter, Megan L. van den Berg, Cassandra Nickles, Ann Raiho, David Schimel, Amanda M. Lopez, Regina Eckert, Latha Baskaran, Daniel J. Jensen, Mark Reynolds, Michelle M. Gierach, Fernando E. Romero Galvan, Kerry A. Cawse-Nicholson, Jean Allen, Jonathan Van Beek, Christopher L. Kibler, Marie Johnson, Conor McMahon, K. Dana Chadwick, Anna T. Trugman, Dulcinea Avouris, Yoseline Angel, Clare M. Saiki, Charles E. Miller, Kathleen A. Grant, Leander D. L. Anderegg, Frank W. Davis, Cecilia E. Heuvel, J. Chapman, D.J. Lacey, Sydney M. Stroschein, Christine Lee, Michele Thornton, Brianna Baker, Dar A. Roberts, T. H. Robinson, Katherine C. Cavanaugh, Athena DiBartolo, Michael Kiper, Claire Villanueva‐Weeks, Brenen R. Skalitzky, Jonathan Vellanoweth, Evert Vermeer, Kristen Zumdahl, Piper Lovegreen, Anna Jiselle Ongjoco, Zach Breuer, Nolan Burkard, Johana Chazaro‐Haraksin, Joel Cryer, Aaron Kreisberg, Elijah P. Papen, Porter Reim
article en
8 citations

Abstract

Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations of ecosystem function, phenology, and inter‐ and intra‐annual change. However, the full value of repeat spectroscopy, the information embedded within different temporal scales, and the reliability of existing algorithms across diverse ecosystem types and vegetation phenophases have remained elusive due to the absence of suitable sub‐seasonal spectroscopy data. In response, the Surface Biology and Geology (SBG) High‐Frequency Time Series (SHIFT) campaign was initiated during late February 2022 in Santa Barbara County, California. SHIFT, designed to support NASA's SBG mission, addressed mission scoping, scientific advancement, applications development, and community building. This ambitious endeavor included weekly Airborne Visible InfraRed Imaging Spectrometer‐Next Generation (AVIRIS‐NG) imagery acquisitions for 13 weeks (spanning February 24 to May 29, 2022), accompanied by coordinated terrestrial vegetation and coastal aquatic data collection. We describe the rich datasets collected and illustrate how the complex sub‐seasonal patterns of change can be linked to biological science and applications, surpassing insights from multispectral observations. Leveraging open‐source processing methods and cloud‐based analysis tools, the SHIFT campaign showcases the readiness of the scientific community to harness ecological insights from remotely sensed hyperspectral time series. We provide an overview of SHIFT's goals, data collections, preliminary results, and the collaborative efforts of early career scientists committed to unlocking the transformative potential of high‐frequency time series data from space‐borne VSWIR imaging spectrometers.

EcosphereVol. 16(3)
University of Southern California (US), California Institute of Technology (US), Ames Research Center (US), United States Geological Survey (US), Oak Ridge National Laboratory (US), University of Minnesota (US), Goddard Space Flight Center (US), Jet Propulsion Laboratory (US), University of Wisconsin–Madison (US), University of California, Santa Barbara (US), University of California, Merced (US), University of California, Los Angeles (US), Cornell University (US), California State University Los Angeles (US), San Francisco Conservatory of Music (US), Western Geographic Science Center, Geology, Geophysics, and Geochemistry Science Center, University of Maryland, College Park (US), Woods Hole Oceanographic Institution (US), University of Montana (US), Michigan State University (US), Colorado State University (US)
National Science Foundation, Resnick Sustainability Institute for Science, Energy and Sustainability, California Institute of Technology, Bioinformatics Institute
Openalex Percentile: Top 2%
Remote-Sensing Image Classification
9.08
DOIOpen Access PDFOpenAlex
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