###### Abstract  
The 1992 reform of the European Common Agricultural Policy (CAP) introduced the Land Parcel Identification System (LPIIS), a geodatabase of land parcels used to monitor and regulate agricultural subsidies. Traditionally, the LPIIS has relied on high-resolution aerial orthophotos; however, recent advancements in very-high-resolution (VHR) satellite imagery present new opportunities to enhance its effectiveness. This study explores the feasibility of utilizing PlanetScope, a commercial VHR optical satellite constellation, to map agricultural parcels within the LPIIS. A test was conducted in Umbria, Italy, integrating existing datasets with a series of PlanetScope images from 2023. A segmentation workflow was designed, employing the Normalized difference Vegetation Index (NDVI) alongside the Edge segmentation method with varying sensitivity thresholds. An accuracy evaluation based on geometric metrics, comparing detected parcels with cadastral references, revealed that a 30% scale threshold yielded the most reliable results, achieving an accuracy rate of 83.3%. The results indicate that the short revisit time of PlanetScope compensates for its lower spatial resolution compared to traditional orthophotos, allowing accurate delineation of parcels. However, challenges remain in automating parcel matching and integrating alternative methods for accuracy assessment. Further research should focus on refining segmentation parameters and optimizing PlanetScope's temporal and spectral resolution to strengthen LPIIS performance, ultimately fostering more sustainable and data-driven agricultural management. L 2025 202  
their own Land Parcel Identification Systems (LPIISs). An LPIIS is an integrated spatial database of holdings, applications, agricultural areas, and payment entitlements based on ortho-imagery that records all agricultural parcels and land-use features in European countries. The system integrates remotely sensed data with cadastral maps and other cartographic references, serving two principal functions: to clearly locate all eligible agricultural land contained within reference parcels and to calculate the maximum eligible area (MEA) of each parcel. A reference parcel is defined as a uniquely identified and geographically delineated agricultural area. The maximum eligible area represents the total number of hectares that may be considered eligible to receive CAP support measures (i.e., farmed land). Conversely, parcels consisting of unfarmed land and land with features such as buildings, farmyards, scrub, roadways, forests, or lakes are considered ineligible [4]. Land-parcel boundaries and MEAs are routinely extracted based on photointerpretation of the most recent aerial ortho-images. To ensure that the LPIIS reflects the actual land-use conditions, the European Commission recommends updating the LPIIS ortho-images every 3-5 years [5]. The acquisition and the interpretation of these images are planned and managed at the national or regional level by the Paying Agencies, which were mandated by the European Commission to ensure the regularity of area-aid transactions and the maintenance of the LPIIS at a national and/or regional level. In cases in which photointerpretation is inconclusive, the Paying Agencies may conduct on-site inspections to verify parcel eligibility and confirm MEA calculations. The continuous evolution of satellite technology and remote-sensing capabilities has significantly enhanced the accuracy and efficiency of agricultural monitoring, not only through improved parcel delineation, but also by providing valuable insights into crop health, soil conditions, and land cover changes [6]. Notable examples include the ESA's Sentinel-2 for Agriculture project [7] and the work carried out by the Group on Earth Observations Global Agricultural Monitoring Initiative (GEOGLAM) [8; 9]. In this context, many approaches rely on optical-imagery time series due to their effectiveness in tracking vegetation phenology in a comprehensible way [10; 11; 12].