Spectral, thermal and physiological data used for modeling
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This dataset contains three complementary data types collected to investigate plant physiological responses and spectral properties in native vegetation of Western Australia between September 2018 and December 2019.
Spectral reflectance: Raw measurements from an ASD FieldSpec4 leaf clip are provided as .asd.sco files, which can be imported into R as tables. Each file reports reflectance values across wavelengths from 350â2500 nm. For each sampling date, a corresponding CSV file lists plant codes and sampling order. Plant codes follow the format species initialsâcampaign numberâreplicate (e.g., et-1-1 represents Eucalyptus todtiana, campaign 1, replicate 1).
Thermal imagery: Thermal images were captured to estimate stomatal conductance. Each image includes a timestamp, which can be linked to plant codes using the accompanying physiological dataset.
Physiological data: Spreadsheets summarize leaf-level physiological traits for each sampling campaign, including stomatal conductance, water ..., , ## Spectral, Thermal, and Physiological Data for Plant Condition Assessment
Access this dataset on Dryad (Dataset DOI: [10.5061/dryad.4qrfj6qr3)](https://doi.org/10.5061/dryad.4qrfj6qr3)
## **Summary Description**
This dataset contains three complementary data types collected from native vegetation in Western Australia between September 2018 and December 2019. The data were acquired to investigate relationships between remotely sensed indicators (spectral reflectance and thermal imagery) and plant physiological traits under seasonal conditions. These data support research in plant ecophysiology, remote sensing calibration, and drought stress assessment.
The dataset includes:
Spectral reflectance measurements from ASD FieldSpec4 (350â2500 nm)
Thermal imagery for stomatal conductance estimation
Physiological measurements (e.g., leaf water potential, relative water content)
All data are anonymized and pertain to plant measurements only; no legal or ethical restrictions apply.
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创建时间:
2026-01-09



