The plateau of Marcesina, in the municipality of Enego (Vicenza, Italy), was selected as a test site to develop an automated protocol for the recognition and quantification of cairns and cairnfields in Alpine environment coupling object-based image analysis (OBIA) and artificial intelligence (AI). The segmentation was implemented starting from a combination of aerial orthoimages and LiDAR-derived visualizations (nDSM and Openness), which were subsequently classified with a knowledge-based approach. Our rule-set was able to identify 491 cairns in an area of approximately 4.5 km2; the average user’s and producer’s accuracy were calculated thanks to an assessment strategy based on drone flights and ground survey and returned values of 81.4% -95%, respectively.

Clearence cairnfields forever: combining AI and LiDAR data in the Marcesina upland (northern Italy)

Cinzia Bettineschi;Luigi Magnini
;
2022-01-01

Abstract

The plateau of Marcesina, in the municipality of Enego (Vicenza, Italy), was selected as a test site to develop an automated protocol for the recognition and quantification of cairns and cairnfields in Alpine environment coupling object-based image analysis (OBIA) and artificial intelligence (AI). The segmentation was implemented starting from a combination of aerial orthoimages and LiDAR-derived visualizations (nDSM and Openness), which were subsequently classified with a knowledge-based approach. Our rule-set was able to identify 491 cairns in an area of approximately 4.5 km2; the average user’s and producer’s accuracy were calculated thanks to an assessment strategy based on drone flights and ground survey and returned values of 81.4% -95%, respectively.
2022
12
File in questo prodotto:
File Dimensione Formato  
PCA12_Bettineschi-Magnini-et-al.pdf

accesso aperto

Tipologia: Versione dell'editore
Licenza: Accesso libero (no vincoli)
Dimensione 2.64 MB
Formato Adobe PDF
2.64 MB Adobe PDF Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5020150
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact