Study on 2007–2021 Drought Trends in Basilicata Region Based on the AMSU-Based Soil Wetness Index

Raffaele Albano, Meriam Lahsaini, Arianna Mazzariello, Binh Pham-Duc and Teodosio Lacava ()
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Raffaele Albano: University of Basilicata, Health Science Department, 85100 Potenza, Italy
Meriam Lahsaini: Institute of Geosciences and Earth Resources (IGG), National Research Council (CNR), 56126 Pisa, Italy
Arianna Mazzariello: Basilicata Region, Local Autonomy and Integrated Security Office, 85100 Potenza, Italy
Binh Pham-Duc: University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, Vietnam
Teodosio Lacava: Institute of Methodologies for Environmental Monitoring (IMAA), National Research Council (CNR), 85050 Tito Scalo, Italy

Land, 2025, vol. 14, issue 6, 1-25

Abstract: Soil moisture (SM) plays a fundamental role in the water cycle and is an important variable for all processes occurring at the lithosphere–atmosphere interface, which are strongly affected by climate change. Among the different fields of application, accurate SM measurements are becoming more relevant for all studies related to extreme event (e.g., floods, droughts, and landslides) mitigation and assessment. In this study, data acquired by the advanced microwave sounding unit (AMSU) onboard the European Meteorological Operational Satellite Program (MetOP) satellites were used for the first time to extract information on the variability of SM by implementing the original soil wetness index (SWI). Long-term monthly SWI time series collected for the Basilicata region (southern Italy) were analyzed for drought assessment during the period 2007–2021. The accuracy of the SWI product was tested through a comparison with SM products derived by the Advanced SCATterometer (ASCAT) over the 2013–2016 period, while the Standardized Precipitation-Evapotranspiration Index (SPEI) was used to assess the relevance of the long-term achievements in terms of drought analysis. The results indicate a satisfactory accuracy of the SWI, with the mean correlation coefficient values with ASCAT higher than 0.7 and a mean normalized root mean square error less than 0.155. A negative trend in SWI during the 15-year period was found using both the original and deseasonalized series (linear and Sen’s slope ~−0.00525), confirmed by SPEI (linear and Sen’s slope ~−0.00293), suggesting the occurrence of a marginal long-term dry phase in the region. Although further investigations are needed to better assess the intensity and main causes of the phenomena, this result indicates the contribution that satellite data/products can offer in supporting drought assessment.

Keywords: soil moisture; drought; climate change; soil wetness index; advanced microwave sounding unit; Advanced SCATterometer (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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