Published June 29, 2026 | Version v4

Two years of in situ measurements of biophysical variables of mountain meadows in northeastern Italy

  • 1. Eurac Research, Institute for Earth Observation
  • 2. Accademia Europea
  • 3. Institute for Earth Observation, Eurac Research
  • 4. Laimburg Research Centre, Research Area Mountain Agriculture

Description

This dataset contains vegetation biophysical variables of eight meadows in the Provinces of Bolzano and Trento, in the Italian Eastern Alps, monitored approximately every two weeks during the growing seasons of 2023 and 2024. 

Keywords: Leaf Area Index, fPAR, soil moisture, chlorophyll, biomass, grasslands, remote sensing validation, in-situ observations, ground truth, agri-environmental monitoring.

Intended Use:

  • Validation of vegetation biophysical variables derived from Sentinel-2 satellite data

  • Research on mountain grassland ecosystems

  • Supporting European initiatives like the Common Agricultural Policy (CAP) monitoring, Farm to Fork, and the Agriculture of Data partnership

Funding: Horizon Europe, ScaleAgData project (Grant Agreement No. 101086355)

How to cite these data:

If you use this dataset, please cite both of the following:

1. The Zenodo dataset record, to identify the data and version used.
2. The associated Data Descriptor, which documents the data-collection and quality-control methods.

Please use the references provided below:

Castelli, M., Mejia-Aguilar, A., Göhner, C., Stendardi, L. & Peratoner, G. Two years of in situ measurements of biophysical variables of mountain meadows in northeastern Italy. Sci Data (2026). https://doi.org/10.1038/s41597-026-08074-6

Castelli, M., Mejia-Aguilar, A., Göhner, C., Stendardi, L., & Peratoner, G. (2026). Two years of in situ measurements of biophysical variables of mountain meadows in northeastern Italy [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.21040483

 

 

Table of contents (English)

ShapeFiles.zip

Shapefiles of the test sites in the provinces of Trento and Bolzano, Italy, and of the Sentinel-2 pixel grid.

LAI-2200C.zip

Original LAI-2200C data logger outputs, organised in subfolders named by sampling date. Each subfolder contains one .txt file per measurement plot, corresponding to the first column of the Excel tables. 

Protocol_Field_Measurements_ScaleAgData_2023_2024.pdf

A template of the measurement protocol adopted by the operators in the field at each sampling event is also provided

LAI2200_header_summary.txt

Main information from the header of the LAI-2200C data logger output files

Save_Header_Info.R

R script to read header files and write output to LAI2200_header_summary.txt

Data_Growing_Season_2023.xlsx

Dataset for the year 2023

Data_Growing_Season_2024.xlsx

Dataset for the year 2024

Pictures.zip

Representative photographs of the test sites acquired in 2023

Files

LAI-2200C.zip

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Additional details

Related works

Continues
Journal article: 10.3390/rs15143542 (DOI)
Is described by
Data paper: 10.1038/s41597-026-08074-6 (DOI)
Is part of
Thesis: 10.5281/zenodo.17865651 (DOI)

Funding

European Commission
ScaleAgData - ScaleAgData 101086355

Dates

Created
2025-12-19
Dataset

Software

Programming language
R