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UID:pretalx-foss4g-it-2023-V9QAJW@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T171500
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DESCRIPTION:Sustainable agriculture is one of the main focus of the 2023 
 – 2027 Common Agricultural Policy (CAP). For this reason\, the new CAP s
 trategic plan presents greater ambitions on climate and environment action
  in comparison of the previous programming period and stronger incentives 
 that promote climate- and environment-friendly farming practices (i.e. min
 imizing soil disturbance\, organic and carbon farming\, maintaining perman
 ent ground cover and adopting combined rotations) are provided. Among the 
 several options\, avoiding bare soil conditions and consequently promoting
  cover crops\, or even to cultivate two main crops in a year\, can provide
  excellent benefits. In particular\, soil erosion and nitrate percolation 
 are limited and soil structure\, fertility\, organic carbon sequestration 
 and adaptability to climate change are supported. Consequently\, an estima
 tion of how much cultivated area is currently managed in this way should b
 e estimated. Within the farmer CAP application\, single (i.e. winter or su
 mmer) and a double crop could be included even if more crops can indeed be
  cultivated afterwards. Accordingly\, the scope of this research is to des
 ign and validate an approach to classify and map the fields where a crop c
 over maintenance is promoted rather than the single crop based on Copernic
 us Sentinel-2 (S2) data. The study area is located in Austria\, where a re
 presentative sample of the main crop types cultivated in the region was de
 rived from the declarations to the Integrated Administration and Control S
 ystem (IACS) for the year 2021. The approach relies on the classification 
 of reflectance data from S2 time series including nine vegetation indices 
 that were used to identify single or double crop systems. For this purpose
 \, two supervised classifiers were applied namely One-Class Support Vector
  Machine (OneClassSVM) and Random Forest (RF). Statistical measures such a
 s Overall Accuracy and Cohen's kappa coefficient were derived from the con
 fusion matrices and the differences between field data and mapping results
  were analysed. A new map showing single vs double-crop systems was genera
 ted for further spatial analysis and interpretation.
DTSTAMP:20260512T212958Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Double Crop Mapping using Sentinel-2 Data in Support to Implementat
 ion and Monitoring of the 2023-2027 Common Agricultural Policy within Rura
 l Development Interventions - Enrico Borgogno-Mondino\, Filippo Sarvia\, E
 mma Izquierdo\, Francesco Vuolo
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/V9QAJW/
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