Two years of in situ measurements of biophysical variables of mountain meadows in northeastern Italy
Authors/Creators
- 1. Eurac Research, Institute for Earth Observation
- 2. Accademia Europea
- 3. Institute for Earth Observation, Eurac Research
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 grassland productivity, climate response, and land use impacts
-
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)
Users of the data are requested to cite this data descriptor, where details on methods and data are reported:
ADD REF
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
Files
Restricted
The record is publicly accessible, but files are restricted. <a href="https://zenodo.org/account/settings/login?next=https://zenodo.org/records/17984683">Log in</a> to check if you have access.
Additional details
Related works
- Continues
- Journal article: 10.3390/rs15143542 (DOI)
- Is part of
- Thesis: 10.5281/zenodo.17865651 (DOI)
Dates
- Created
-
2025-12-19Dataset
Software
- Programming language
- R