Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

This study focuses on the application of multi-sensor satellite archived data products and
ancillary data for the evaluation of drought vulnerability. The use of a subjective model …

Long short-term memory neural networks have been proposed as a means of creating
accurate models from large time series data originating from various fields. These models …

Drought is one of many critical problems that could arise as a result of climate change as it
has an impact on many aspects of the world, including water resources and water scarcity. In …

The study highlights the potential characteristics of droughts under future climate change
scenarios. For this purpose, the changes in Standardized Precipitation Evapotranspiration …

Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …

How to measure the overall level of regional social economy, resources, and environment
and how to grasp the coordinated development between them has become a hot issue. In …

Seasonal drought is often overlooked because its impacts are less devasting than
meteorological or hydrological drought. Nevertheless, short-term drought can have …

This study presents a novel hybrid model that combines two different algorithms to increase
the accuracy of short-term berry yield prediction using only previous yield data. The model …