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

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Remote monitoring of giant kelp biomass and physiological condition: An evaluation of the potential for the Hyperspectral Infrared Imager (HyspIRI) mission
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inferredcites →https://doi.org/10.1029/2000jc000371openalex-snapshot
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inferredcites →https://doi.org/10.1038/s41467-021-26335-3openalex-snapshot
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inferredcites →https://doi.org/10.3334/ornldaac/2184openalex-snapshot
SHIFT: AVIRIS-NG L1A Unrectified Radiance
inferredcites →https://doi.org/10.3334/ornldaac/2233openalex-snapshot
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inferredcites →https://doi.org/10.3334/ornldaac/2242openalex-snapshot
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inferredcites →https://doi.org/10.3334/ornldaac/2245openalex-snapshot
SHIFT: HyTES L1 Brightness Temperature, March 23 2022
inferredcites →https://doi.org/10.3334/ornldaac/2246openalex-snapshot
SHIFT: HyTES L2 Geolocated Land Surface Temperature and Emissivity, March 23 2022
inferredcites →https://doi.org/10.3334/ornldaac/2295openalex-snapshot
SHIFT: Vegetation Plot Characterization, Santa Barbara County, CA, 2022
inferredcites →https://doi.org/10.3334/ornldaac/2334openalex-snapshot
SHIFT: Vegetation Plot Photos, Santa Barbara, CA, USA, 2022
inferredcites →https://doi.org/10.3334/ornldaac/2337openalex-snapshot
SHIFT: Laboratory Foliar Chemical Analysis Results for Field Samples, CA, 2022
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inferredcites →https://doi.org/10.3390/rs11141664openalex-snapshot
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Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato
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inferredcites →https://doi.org/10.5281/zenodo.7842770openalex-snapshot
EvanDLang/SHIFT-SMCE-User-Guide: v2.0.0
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Sample Identifiers and Metadata to Support Data Management and Reuse in Multidisciplinary Ecosystem Sciences
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Analysis code for 'Shifting from plant functional types to traits: Enhancing biodiversity representation in land surface models' (SHIFT Dangermond)
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