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Drought Extent and Severity on Arable Lands in Romania Derived from Normalized Difference Drought Index (2001–2020)

Radu-Vlad Dobri, Lucian Sfîcă, Vlad-Alexandru Amihăesei, Liviu Apostol, Simona Țîmpu

2021Remote Sensing38 citationsDOIOpen Access PDF

Abstract

The aim of this study was to evaluate the frequency and severity of drought over the arable lands of Romania using the Normalized Difference Drought Index (NDDI). This index was obtained from the Moderate Resolution Imaging Spectro-Radiometer (MODIS) sensor of the Terra satellite. The interval between March and September was investigated to study the drought occurrence from the early stage of crop growth to its harvest time. The study covered a long period (2001–2020), hence it is able to provide a sound climatological image of crop vegetation conditions. Corine Land Cover 2018 (CLC) was used to extract the arable land surfaces. According to this index, the driest year was 2003 with 25.6% of arable land affected by drought. On the contrary, the wettest year was 2016, with only 10.8% of arable land affected by drought. Regarding the multiannual average of the period 2001–2020, it can be seen that drought is not a phenomenon that occurs consistently each year, therefore only 11.7% of arable land was affected constantly by severe and extreme drought. The correlation between NDDI and precipitation amount was also investigated. Although the correlations at weekly or monthly levels are more complicated, the annual regional mean NDDI is overall negatively correlated with annual rainfall. Thus, from a climatic perspective, we consider that NDDI is a reliable and valuable tool for the assessment of droughts over the arable lands in Romania.

Topics & Concepts

Arable landEnvironmental scienceClimatologyAdvanced very-high-resolution radiometerLand coverPrecipitationIndex (typography)Physical geographyGeographySatelliteLand useMeteorologyAgricultureEcologyGeologyBiologyEngineeringArchaeologyAerospace engineeringWorld Wide WebComputer scienceHydrology and Drought AnalysisClimate variability and modelsRemote Sensing in Agriculture
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