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UID:pretalx-foss4g-it-2023-CVTH9W@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T151500
DTEND;TZID=GMT:20230612T153000
DESCRIPTION:Precision viticulture aims to enhance quality standards of wine
  production by improving vineyard management. In this framework\, satellit
 e optical remote sensing has already proved to be effective for mapping ve
 getation behavior in space and time. These maps\, properly processed\, are
  useful to optimize agronomic practices improving wine production/quality 
 and mitigating environmental impacts. Nevertheless\, vineyards represent a
  challenge in this context because grapevine canopies are discontinuous\, 
 and the observed reflectance signal is affected by background. In fact\, s
 atellite imagery ordinarily provides spectral measures with medium-low geo
 metric resolution (≥ 100 m2). Therefore\, spectral mixture between grape
 vine canopies\, grass and soils is expected within a satellite-derived ref
 lectance pixel and not considering this problem can deeply affect deductio
 ns based on this data. In this work\, Sentinel-2 (S2) NDVI maps (10 m reso
 lution) were computed and compared to the ones obtained from DJI P4 multis
 pectral UAV over a vineyard sizing 1.5 ha and located in Piemonte region (
 NW Italy). The proportion of row and inter-row (α(x\,y) and 1-α(x\,y)) w
 ithin S2 pixel was computed and mapped classifying DJI photogrammetry poin
 t cloud. Involving α(x\,y) and S2 NDVI values\, reversing spectral unmixi
 ng system was defined solving for two average endmembers NDVI values (row 
 and inter-row) using a moving window (21x21 pixels) least squares approach
 . Results were compared at S2 pixel-level to the average ones computed fro
 m DJI\, showing a MAE of 0.15 and 0.10 of row and inter-row NDVI respectiv
 ely.
DTSTAMP:20260516T141046Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solut
 ion Based on Sentinel-2 Imagery and Local Least Squares - Enrico Borgogno-
 Mondino\, Francesco Parizia\, Federica Ghilardi\, Alessandro Farbo\, Filip
 po Sarvia\, Samuele De Petris
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/CVTH9W/
END:VEVENT
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UID:pretalx-foss4g-it-2023-FCQMZP@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T170000
DTEND;TZID=GMT:20230613T171500
DESCRIPTION:Starting from 1962 the Common Agricultural Policy (CAP) has sup
 ported through contributions the agricultural sector aiming at preserving 
 the environment and improving crops production. The local Paying Agencies 
 (PA) verify the correctness\, completeness and compliance of farmers appli
 cations by administrative checks (ACs) and on-the-spot checks (OTSCs). ACs
  are performed on 100% of applications to automatically detect formal faul
 ts through informatics tools. OTSCs are performed on about the 5% of appli
 cations testing the compliance with envisaged commitments and obligations\
 , verify eligibility criteria and checking the truthfulness of declared ar
 ea size. Recently\, the article 10 of the recent EU regulation (N. 1173/20
 22)\, defined new controls based on remote sensing\, specifically by adopt
 ing Copernicus Sentinel-2 (S2) imagery\, or “other data” at least equi
 valent value. The adoption of S2 imagery allows to monitor all areas decla
 red by farmers’ applications longing for irregularities detection. Conse
 quently\, this type of control can be applied to all CAPs (no longer 5%) a
 pplications in each member state. In this framework\, the new CAP 2023-202
 7\, requires a gradual implementation of such remote-sensing based tools w
 ithin member states control systems\, becoming compulsory in 2024. Further
 more\, the 2023-2027 CAP will introduce some new types of contributions ca
 lled 'eco-schemes' related to the climate\, environment and animal welfare
 . Nevertheless\, a proper review of how remote sensing-based tools can be 
 applied to these new contributions is missing. Therefore\, in this work we
  preliminary explore which marker can be detected by Copernicus S2 data in
  terms of field surface\, agronomic practices and monitor period\, possibl
 y related to a specific CAP contribution requirement. Focuses will concern
 : (a) basic payment\; (b) eco-schemes\; (c) enhanced conditionality.
DTSTAMP:20260516T141046Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Remote sensing and Sentinel-2 data role within the Common Agricultu
 ral Policy 2023-2027 - Enrico Borgogno-Mondino\, Alessandro Farbo\, Filipp
 o Sarvia\, Samuele De Petris\, Elena Xausa\, Gianluca Cantamessa
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/FCQMZP/
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