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

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
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-03-21
DOI
https://doi.org/10.13016/m2lhhn-esye
Primary Topic
Remote Sensing in Agriculture
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article
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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 et al.
Maryland Shared Open Access Repository (USMAI Consortium)
Remote Sensing in Agriculture
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, Simon J. Hook, Tom W. Bell, Luke Carberry, Erin L. Hestir, Ethan Shafron, Natalie Queally, Nicholas J. Nidzieko, Niklas Bohn, Kimberley Miner, Kelly Easterday, Michael Bernas, Kaitlin M. Gold, Elliott Marsh, Francisco Ochoa, Alexey Shiklomanov, Nidhi Vinod, M. Park, Christiana Ade, Andrew J. Brooks, Emma Johnson, Brendan C. Heberlein, Kyle C. Cavanaugh, Phuong D. Dao, Maggie Klope, Niky C. Taylor, Jordan Snyder, Kristin B. Byrd, Ting Zheng, Kyle R. Kovach, Fred Huemmrich, Jennifer Y. King, Indra Boving, Raymond F. Kokaly, Clayton D. Elder, Michael L. Eastwood, Mark Helmlinger, Cassandra Nickles, Ann Raiho, Amanda M. Lopez, Regina Eckert, Latha Baskaran, Mark Reynolds, Michelle M. Gierach, Jean Allen, Christopher L. Kibler, Marie Johnson, Conor McMahon, Anna T. Trugman, Dulcinea Avouris, Yoseline Angel, Joelie M. Van Beek, Clare M. Saiki, Frank W. Davis, D.J. Lacey, Renato Kerchers Braghiere, Sydney M. Stroschein, Christine Lee, Brianna Baker, T. H. Robinson, Katherine C. Cavanaugh, Athena DiBartolo, Claire Villanueva-Weeks, Michael Kiper, Brenen R. Skalitzky, Jonathan Vellanoweth, Evert Vermeer, Kristen Zumdahl, Piper Lovegreen, Anna Jiselle Ongjoco, Zach Breuer, Nolan Burkard, Joel Cryer, Aaron Kreisberg, Elijah P. Papen, Porter Reim, Brittany Lopez Barreto, Kerry Cawse-Nicholson, Megan Berg, Ryan Pavlick, Petya Entcheva Campbell, Philip G. Brodrick, Alexa Hanson, David Schimel, Leander Anderegg, Kate Thompson, Kelly Luis, Angela Giordani, Daniel Jensen, Elsa Ordway, Johana Chazaro-Haraksin, K. C. Cushman, David R. Thompson, Philip A. Townsend, Cecily Tye, Fabian D. Schneider, Evan Lang, Cecilia Vanden Heuvel, Kyla Dahlin, Dar A. Roberts, Kathleen Grant, John Chapman, K. Dana Chadwick, Michele Thornton, Fernando E. Romero Galvan, Robert O. Green, Charles Miller, Benjamin Poulter, Dieu My T. Nguyen, Madeleine Pascolini-Campbell
article en

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.

Maryland Shared Open Access Repository (USMAI Consortium)
Life below water
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Remote Sensing in Agriculture
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