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Sen4MUN: A Prototypal Service for the Distribution of Contributions to the European Municipalities from Copernicus Satellite Imagery. A Case in Aosta Valley (NW Italy)

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Geomatics for Environmental Monitoring: From Data to Services (ASITA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2088))

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Abstract

Recently, the European space program Copernicus’ Sentinel missions have allowed to develop several application services. One of them is the Sen4CAP system for the payment of contribution and control in agriculture according to the Common Agricultural Policy in light of the EU regulation (N. 746/2018). Nowadays, the technological transfer offered by remote sensing has permitted to rationalize and rethink many contribution methodologies at different scales. In this regard, to strengthen the use of free satellite data in ordinary administrative workflows, this work aims to evaluate the feasibility and prototypal development of a possible service called Sen4MUN for the distribution of contributions yearly allocated to local municipalities and scalable to all European regions.

The analysis was focused on considering the Aosta Valley Autonomous Region, NW Italy. A comparison between the Ordinary Workflow (OW) and the Sen4MUN approach which is based on yearly Land Cover classification according to EAGLE guidelines was performed by applying a 20 m buffer onto urban class (LCb). This buffer was performed according to EEA-ISPRA soil consumption guidelines to avoid underestimating some areas that are difficult to map with Sentinel due to sensor limits and spectral mixing issues. The roads were included considering updated GIS databases. In particular, the assessment of the mapped urban anthropic surfaces used to quantify the contribution of adopting the two approaches was realized. An overall MAE of 0.82 km2 was computed involving LCb and OW demonstrating the effectiveness of Sen4MUN. The approach developed seems to be capable of providing useful data for contribution purposes to Public Administration.

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Acknowledgments

Thanks to the Regione Autonoma Valle d’Aosta and INVA spa and eoVdA, for having made this work possible, and in particular the head of the Regional Cartographic Office Chantal Tréves, and to Enti Locali e Ufficio finanza e contabilità degli enti locali della Regione Autonoma Valle d’Aosta and in particular, the head Tiziana Vallet, and Stefania Fanizzi, Nicoletta Berno, Emanuela Oro, Alessandra Sibona. Finally, the Geo4Agri DISAFA Lab colleagues and Annalisa Viani for the great support.

Author information

Authors and Affiliations

  1. Department of Agricultural, Forest and Food Sciences (DISAFA), GEO4Agri DISAFA Lab, Università degli Studi di Torino, Largo Paolo Braccini 2, 10095, Grugliasco, Italy

    Tommaso Orusa & Enrico Borgogno Mondino

  2. IN.VA spa and Earth Observation Valle d’Aosta—eoVdA, Località L’Île-Blonde 5, 11020, Brissogne, Italy

    Tommaso Orusa, Duke Cammareri & Davide Freppaz

  3. Local Authorities, Aosta Valley Autonomous Region, Piazza/Place Narbonne 3, 11020, Aosta, Italy

    Pierre Vuillermoz

Authors
  1. Tommaso Orusa
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  2. Duke Cammareri
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  3. Davide Freppaz
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  4. Pierre Vuillermoz
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  5. Enrico Borgogno Mondino
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Corresponding author

Correspondence to Tommaso Orusa .

Editor information

Editors and Affiliations

  1. University of Torino, Grugliasco, Italy

    Enrico Borgogno Mondino

  2. University of Firenze, Firenze, Italy

    Paola Zamperlin

Supplementary Material

Supplementary Material

Table 4. MAEs and areas computed with both OW and Sen4MUN (S4M).
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Orusa, T., Cammareri, D., Freppaz, D., Vuillermoz, P., Borgogno Mondino, E. (2024). Sen4MUN: A Prototypal Service for the Distribution of Contributions to the European Municipalities from Copernicus Satellite Imagery. A Case in Aosta Valley (NW Italy). In: Borgogno Mondino, E., Zamperlin, P. (eds) Geomatics for Environmental Monitoring: From Data to Services. ASITA 2023. Communications in Computer and Information Science, vol 2088. Springer, Cham. https://doi.org/10.1007/978-3-031-59925-5_9

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  • DOI: https://doi.org/10.1007/978-3-031-59925-5_9

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