N: 34.7445 S: 34.3979 E: -119.52 W: -120.5
Description
This dataset provides leaf images and measurements of leaf traits (area, wet weight, dry weight, leaf mass per area, leaf water content) and leaf pigments (chlorophyll) and species information as sampled from meadow, shrub, and tree from Santa Barbara California, USA. Samples were collected from plots within the Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt March Reserve during the period of February 23, 2022 to September 27, 2022 for the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. The associated data package contains image scans used for the leaf area calculations as well as python processing code used to calculate the area. A comma-separated value (CSV) formatted file includes plot-level leaf area (cm2), wet weight (g), leaf mass area (LMA, g leaf dry mass per meter square), leaf water content (LWC, (wet weight - dry weight/wet weight, %)), chlorophyll fluorescence ratio (CFR), and chlorophyll content (CHL).
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
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| A dataset of multispectral UAV imagery and ground-observed leaf chlorophyll content and leaf area index from the wheat experimental area in Gaocheng, Hebei Province in 2024 |
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| Applying machine learning to biodiversity management: Lessons from two |
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| Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data |
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| Unlocking ecological insights from subseasonal visibletoshortwave infrared imaging spectroscopy: The SHIFT campaign |
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