In this study, a spatiotemporal analysis of drought occurrence and trends across Sicily using
ERA50-Land continuous gridded data is carried out. We first use the Standardized …

Drought and floods seriously affect agriculture across the world. It is of great importance to
lower down the agricultural vulnerability to disasters to build climate-resilient agriculture …

In this work, a new method to analyze the drought episodes based on the annual
precipitation time series and utilizing complex networks theory is proposed. The precipitation …

Abstract This study uses Multifractal Detrended Fluctuation Analysis to examine the scaling
behavior and spatiotemporal variability of drought indicators. We employ two hybrid drought …

Drought is one of the most critical environmental hazards for the viability and productive
development of crops, especially in a climate change environment. To this end, drought …

The subject of the research paper is the exploration of the potential of remote sensing
techniques for enhanced spatio-temporal monitoring and analysis of drought impacts within …

Accurate drought identification is important for both scientists and decision-makers to be
able to make informative decisions. In this study, parametric and non-parametric approaches …

One of the most widely used robust regression methods for solving simple linear regression
problems is the Theil-Sen (TS) estimator. This estimator has some notable advantages; …

This study analyzes drought conditions in the Aegean region using monthly precipitation
data from nine stations between 1972 and 2020. The Standardized Precipitation Index (SPI) …

Drought is a dangerous situation that lowers individual standards of living. It is considered a
devastating natural event. This study intends to thoroughly examine the occurrence and …