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Pasture monitoring Paneveggio Park

Mountain pasture monitoring using satellite data. The goal of this use case is using satellite remote sensing data to calculate Spectral Vegetation Indices changes across different years or during the same mountain pasture season, providing useful information for a more sustainable pasture management.

The following Spectral Vegetation Indices (SVIs) time series are available from 2017 to 2022 in the summer period (from June to September) with an image every 5 days:

  1. Normalized Difference Vegetation Index (NDVI)

  2. Normalized Difference Vegetation Index green (NDVIg)

  3. MERIS Terrestrial Chlorophyll Index (MTCI)

  4. Normalized Difference Water Index (NDWI)

  5. RENDVI865.705

  6. SVIs temporal change between close dates of the same year and between a given date

  7. SVIs anomalies (change between a given date and a multi-year series avg)

True color images, False color images (useful for qualitative analysis) and Copernicus Scene Classification (SCL) are also available for the same period .

Data and Resources

Dataset extent

Map tiles & Data by OpenStreetMap, under CC BY SA

Dataset Metadata

Dataset Identifier df62ec32-ad8b-11eb-8529-0242ac130014
Other Identifier N/D
Dataset Themes ENVI
5211 natural environment
Dataset Editor Name: Highlander
IPA/IVA: cci
Release Date 01-06-2021
Modification Date 30-09-2022
Geographical Name Organizational Unit Responsible Competence Area
GeoNames URL N/D
Dataset Languages N/D
Temporal Coverage N/D
Rights Holder Name: Highlander
IPA/IVA: cci
Frequency IRREG
Version Of N/D
Creator N/D

Additional Info

Field Value
Author Martina Forconi
Last Updated March 22, 2023, 18:33 (UTC)
Created October 26, 2022, 13:21 (UTC)
contactPoint damiano.gianelle@fmach.it
spatial {"type":"Polygon","coordinates": [ [ [ 11.6761, 46.1873 ], [ 11.9348, 46.1873 ], [ 11.9348, 46.3615 ], [ 11.6761, 46.3615 ], [ 11.6761, 46.1873 ] ] ]}