DOI: 10.5281/zenodo.4607784
title: Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop

description: Publication is now online and open access at: https://www.sciencedirect.com/science/article/pii/S0034425721002753 <strong>1. Introduction</strong> We provide data and processing code associated with Xu et al. (2021) study investigating the structural and photosynthetic response of SIF to water stress in a potato crop. Two platforms were used to measure VNIR spectra using a Piccolo Doppio system, one is a hydraulic lift for diurnal analysis, and another is an Unmanned Aerial Vehicle (UAV) for spatial analysis. Physiological measurements were obtained from a host of instruments (including PAM fluorometers) on the ground. Structural measurements were obtained from point clouds. Due to the large file size (10s GB), please contact the authors if interested in the raw point cloud data. <strong>2. Description of files</strong> Datasets includes raw and processed canopy scale spectra for SIF, in addition to scripts and analysis results. Code was run on MATLAB R2019a. Spectral data is saved in folder ‘Spectrum process’, which contains Piccolo Doppio canopy spectra and the scripts for processing. These data were used to derive SIF from UAV and hydraulic lift platforms. The folder also contains leaf spectra used for model inversions (described below). The canopy spectra are saved in folder ‘Canopy spectrum’. In this folder, we provide calibration data, raw data, scripts and products. Then calibration data are saved in folder ‘CalibrationData’, which are used to conduct wavelength and radiometric correction from digital numbers of raw data to calibrated radiometric values. Raw data are saved in folder ‘RawDATA’, which contains two UAV flights and lift raw spectrums. The UAV data were conducted in 10 plots (W1-W10), and the batch number corresponding plots are: W1-batch 6, W2-batch 7, W3-batch 8, W4-batch 9, W5-batch 10, W6-batch 11, W7-batch 17, W8-batch 18, W9-batch 13, W10-batch 12, Soil-batch 14. The lift data were conducted in plots W7 and W8 in diurnal scales. We generate two level products: Level1_Product1 contains the calibrated radiance and irradiance, and Level1_Product1 contains reflectance, SIF, NDVI, fPAR, NIRv and FCVI. Leaf reflectance, transmittance and absorption data are also saved in folder ‘Leaf absorption’, which are used to invert leaf biochemical properties through model ‘fluspect_B_CX_PSI_PSII_combined’. In this folder, folder ‘RawDATA’ contains 3 replicates of leaf reflectance and transmittance of 10 plots (W1-W10). Folder ‘Fluspect_inversion’ contains the inversion code in MATLAB scripts, and the main function is ‘myinversion.m’. Analysis results data are saved in folder ‘Results’ in the ‘.xlsx’ format. The file ‘Canopy diurnal temperature.xlsx’ contains diurnal canopy temperature data of plots W7 and W8. The file ‘Diurnal key parameters.xlsx’ contains diurnal physiological and structural parameters, which is used to make figure 5 in linked paper. The file ‘Spatial key parameters.xlsx’ contains saptial physiological and structural parameters, which is used to make figure 4 in linked paper. The file ‘LAD_estiamtion.xlsx’ contains leaf angle distribution (LAD) of 10 plots estimated using point cloud. The file ‘Leaf_inversion.xlsx’ contains leaf biochemical parameters inverted from leaf reflectance and transmittance. The file ‘Observed diurnal SIF_fPAR_NIRv_FCVI.xlsx’ contains estimated diurnal fPAR, NIRv, FCVI and F760 and F687 of plots W7 and W8 from lift diurnal spectrums. The file ‘Observed spatial SIF_fPAR_NIRv_FCVI.xlsx’ contains estimated saptial fPAR, NIRv, FCVI and F760 and F687 of 10 plots (W1-W10) from lift diurnal spectrums. Three files ‘Q1_relative_influence’, Q2_stress_driver.xlsx, and ‘’Q3_SIF_GPP_relationships.xlsx are used to make figure 7, figure 8, figure 9 and figure 10 in linked paper. ‘Simulated diurnal SIF.xlsx’ and ‘Simulated spatial SIF.xlsx’ are simulated SIF under different scenarios using SCOPE model.