In agriculture, the geography of specific crops can successfully support productivity monitoring and farming practices management. Vineyards particularly have a key role in modeling and protecting Mediterranean landscapes, representing a fundamental asset in the economies of inner areas. In this paper, we mapped the 2017 coverage of vineyards of the Vulture-Melfese, a specialized agricultural district of Basilicata (Southern Italy) renowned for hosting the Aglianico grapevine variety. To achieve this objective, we combined information extracted from free-accessible multisource data by leveraging the traditional photo-interpretation technique. Then, we characterized the mapped vineyards based on simple geo-environmental variables (size, elevation, climate). This detailed inventory can help public bodies and land managers to shape more specific local agricultural policies to strengthen the profitability of the agricultural sector, preserve agrobiodiversity and face climate change effects.

Combining multi-source data to map vineyards in a specialized district of Basilicata (Southern Italy)

Pace, Letizia;Coluzzi, Rosa
;
Imbrenda, Vito;D'Emilio, Mariagrazia;Falcone, Andrea;Lanfredi, Maria
2024

Abstract

In agriculture, the geography of specific crops can successfully support productivity monitoring and farming practices management. Vineyards particularly have a key role in modeling and protecting Mediterranean landscapes, representing a fundamental asset in the economies of inner areas. In this paper, we mapped the 2017 coverage of vineyards of the Vulture-Melfese, a specialized agricultural district of Basilicata (Southern Italy) renowned for hosting the Aglianico grapevine variety. To achieve this objective, we combined information extracted from free-accessible multisource data by leveraging the traditional photo-interpretation technique. Then, we characterized the mapped vineyards based on simple geo-environmental variables (size, elevation, climate). This detailed inventory can help public bodies and land managers to shape more specific local agricultural policies to strengthen the profitability of the agricultural sector, preserve agrobiodiversity and face climate change effects.
2024
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Viticulture, agricultural landscapes, geospatial data, GIS, photo-interpretation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/516345
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