A dust storm that formed in the north of China and the southeastern part of Mongolia in
March 2021 significantly deteriorated air quality over a large area of East Asia. According to …

Remote sensing (RS) has revolutionized field data collection processes and provided timely
and spatially consistent acquisition of data on the terrestrial landscape properties. This …

Publicly available Digital Elevation Models (DEM) derived from various space-based
platforms (Satellite/Space Shuttle Endeavour) have had a tremendous impact on the …

With the emergence of multisource data and the development of cloud computing platforms,
accurate prediction of event-scale dust source regions based on machine learning (ML) …

Identifying dust sources using remotely sensed satellite imagery is one of the most effective
ways of studying dust emission and dynamics. Even though complex algorithms and …

Dust source susceptibility modeling and mapping is the first step in managing the impacts of
dust on environmental systems and human health. In this study, satellite products and …

Mapping and monitoring of the complex process of desertification based on ground data in
broad arid and semiarid areas faces basic limitations. Therefore, the purpose of the present …

Dust storms are one of the major causes of the destruction of natural ecosystems and human
infrastructure worldwide. Therefore, the identification and mapping of susceptible regions to …

This study introduces a risk model that utilizes the ventilation index (VI), Temperature
Vegetation Dryness Index (TVDI), and coefficient of variation (CV) of soil moisture content to …

Dust storms are a significant concern because of their adverse effects on ambient air quality
and human health. To investigate the evolution of dust storms during long-distance transport …