In this contribution, the application of an algorithm based on Sentinel-1 and Sentinel-2 data to identify tillage changes over agricultural fields at approximately ~100m resolution is shown. The aims is to asses the capability of the tool to detect on a large spatial scale tillage events and their temporal repetitiveness. In this respect, this tool can be employed for monitoring fields where the Conservation Agriculture - that has in the no-tillage a main base principle - is applied. The methodology employs a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. The good accuracy level (better than 80%) derived from a comparison with ground truth data acquired over the Apulian Tavoliere agricultural site, fosters to further improve the tool for practical applications.

How Can Be Used Earth Observation Data in Conservation Agriculture Monitoring?

Davide Palmisano;Anna Balenzano;Francesco Mattia;Giuseppe Satalino
2023

Abstract

In this contribution, the application of an algorithm based on Sentinel-1 and Sentinel-2 data to identify tillage changes over agricultural fields at approximately ~100m resolution is shown. The aims is to asses the capability of the tool to detect on a large spatial scale tillage events and their temporal repetitiveness. In this respect, this tool can be employed for monitoring fields where the Conservation Agriculture - that has in the no-tillage a main base principle - is applied. The methodology employs a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. The good accuracy level (better than 80%) derived from a comparison with ground truth data acquired over the Apulian Tavoliere agricultural site, fosters to further improve the tool for practical applications.
2023
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Inglese
Proc. of the IEEE 2023 Int. Geoscience and Remote Sensing Symposium, IGARSS 2023
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
979-8-3503-2010-7
Sì, ma tipo non specificato
16/07/2023-21/07/2023
Pasadena, CA, USA
Internazionale
Conservation agriculture
Sentinel-1
Sentinel-2
soil roughness
tillage
8
none
Rinaldi, Michele; Ruggieri, Sergio; Ciavarella, Francesco; Pio De Santis, Angelo; Palmisano, Davide; Balenzano, Anna; Mattia, Francesco; Satalino, Giu...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/430729
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