Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years (ICPSR doi:10.26165/JUELICH-DATA/WD5YUJ)

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Part 2: Study Description
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Document Description

Citation

Title:

Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years

Identification Number:

doi:10.26165/JUELICH-DATA/WD5YUJ

Distributor:

Jülich DATA

Date of Distribution:

2026-01-13

Version:

1

Bibliographic Citation:

Juan Quiros, 2026, "Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years", https://doi.org/10.26165/JUELICH-DATA/WD5YUJ, Jülich DATA, V1

Study Description

Citation

Title:

Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years

Identification Number:

doi:10.26165/JUELICH-DATA/WD5YUJ

Authoring Entity:

Juan Quiros (IBG-2)

Date of Production:

2026-01-05

Distributor:

Jülich DATA

Access Authority:

Juan Quiros

Depositor:

Grygosch, Lars

Date of Deposit:

2026-01-05

Study Scope

Keywords:

Agricultural Sciences, fluorescence emission efficiency, mild water stress assessment, water management, airborne imaging spectroscopy, plant-water relations, agriculture

Topic Classification:

Remote sensing of vegetation

Abstract:

This dataset was compiled to support the analysis of spatial and interannual relationships between solar-induced chlorophyll fluorescence (SIF) and soil water availability in agricultural systems under contrasting crop, phenological, and water-management conditions. It comprises multi-year airborne SIF observations and derived canopy-normalized fluorescence emission efficiency (eSIF), together with high-resolution soil information used to estimate plant available water (PAW). The dataset includes (i) two tabular datasets in CSV format summarizing seasonal precipitation regimes and crop phenology, including phenology class assignments derived from enhanced vegetation index (EVI) time series, (ii) annual raster layers of top-of-canopy SIF and leaf-level eSIF retrieved from airborne imaging spectroscopy, and (iii) year-specific vector datasets of individual soil units containing associated values of PAW capacity (PAWcap), estimated actual PAW, spatially aggregated SIF and eSIF metrics, as well as phenology category. Covering five growing seasons (2018–2022) and multiple crop types under rainfed and irrigated conditions, the dataset enables reproducible investigations of how crop physiological responses captured by SIF relate to soil water availability across space, time, and phenological stages.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Quiros-Vargas, J., Brogi, C., Damm, A., Siegmann, B., Rademske, P., Burchard-Levine, V., Krieger, V., Schmidt, M., Hanuš, J., Martello, M., Weihermüller, L., Müller, O., & Rascher, U. (Accepted). Solar-induced chlorophyll fluorescence (SIF) tracks variations in the soil–plant available water (PAW): A multiyear analysis on three crops. Science of Remote Sensing.

Other Study-Related Materials

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2018-2022_precipitation-1.csv

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text/csv

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2018-2022_seasonal_evi-1.csv

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text/csv

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2018_eSIF-1.tif

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image/tiff

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2018_LAI-1.tif

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image/tiff

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2018_PAW.zip

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application/zipped-shapefile

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2018_SIF-1.tif

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image/tiff

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2019_eSIF-1.tif

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image/tiff

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2019_LAI-1.tif

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image/tiff

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2019_PAW.zip

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application/zipped-shapefile

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2019_SIF-1.tif

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image/tiff

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2020_eSIF-1.tif

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2020_LAI-1.tif

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image/tiff

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2020_PAW.zip

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application/zipped-shapefile

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2020_SIF-1.tif

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image/tiff

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2021_eSIF-1.tif

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image/tiff

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2021_LAI-1.tif

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image/tiff

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2021_PAW.zip

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application/zipped-shapefile

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2021_SIF-1.tif

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image/tiff

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2022_eSIF-1.tif

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image/tiff

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2022_LAI-1.tif

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image/tiff

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2022_PAW.zip

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application/zipped-shapefile

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2022_SIF-1.tif

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image/tiff

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PAW_soil_units_centroids_deg-1.csv

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text/csv

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Quiros-Vargas_et_al_SRS_2025_metadata-1.xlsx

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet