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
Writing – Original Draft Preparation
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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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
