Nina Valsania
Analysis of hail events in agricultural areas using ground information and satellite-based images.
Rel. Stefania Tamea, Matteo Rolle. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2023
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Abstract
Hailstorms are becoming more intense, resulting in significant losses in the agricultural sector and subsequent economic damages. This happens particularly in Northern Italy, which is a hailstorm prone region due to its morphological structure. However, hailstorms are unpredictable, localized events, making it challenging to quickly determine the extent of the damages they cause. This study aims to explore the feasibility of detecting hail damage in maize crops in Piedmont, Italy, using RADAR Sentinel-1 satellite images. This approach ensures that the results are not influenced by cloud cover, atmospheric events, or diurnal variations. The SAR C-band instrument, capable of detecting vegetation canopy structures, is employed for the purpose of analysing crop fields.
By examining meteorological reports between 2016 and 2022, which include ground hail probability maps, potential hailstorm’s locations are identified
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