This paper investigates the feasibility of using multitemporal Sentinel-2 data to help monitor compliance with "closed periods"regulations for manure applications in agriculture, and to detect potential infringements. Previous work used Exogenous Organic Matter Indices (EOMIs), derived from Sentinel-2 bands, to identify fields with and without manure spreading. In this study, time series of the EOMI index are analyzed, and a method for satellite-based manure detection is proposed. Results show distinctive features on the occasion of known manuring events, but further validation is needed due to the lack of an extensive set of samples with related ground truth. The proposed method shows potential for operational use in monitoring manuring compliance.
Assessing Compliance to EU Nitrate Pollution Regulations by Detecting Manure Applications in Time Series of Sentinel-2 Acquisitions
Marzi D.;Dell'acqua F.;
2023-01-01
Abstract
This paper investigates the feasibility of using multitemporal Sentinel-2 data to help monitor compliance with "closed periods"regulations for manure applications in agriculture, and to detect potential infringements. Previous work used Exogenous Organic Matter Indices (EOMIs), derived from Sentinel-2 bands, to identify fields with and without manure spreading. In this study, time series of the EOMI index are analyzed, and a method for satellite-based manure detection is proposed. Results show distinctive features on the occasion of known manuring events, but further validation is needed due to the lack of an extensive set of samples with related ground truth. The proposed method shows potential for operational use in monitoring manuring compliance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
