Satellite remote sensing has been extensively utilized for monitoring dust storms in space
and time. Dust storm detection using satellite observations is important to analyze the dust …

Third-generation geostationary meteorological satellites (GEOs), such as Himawari-8/9
Advanced Himawari Imager (AHI), Geostationary Operational Environmental Satellites …

Documenting geomorphology and land use/land cover associated with the aeolian dust
sources is needed to build more robust models simulating wind erosion and dust emission. It …

Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due
to extensive forest, agricultural and peat fires. This study aims to estimate the PM2. 5 …

Dust sources have been revealed through remote sensing, first regionally by~ 1° resolution
sensors (TOMS), then at sub-basin scale by moderate-resolution sensors (MODIS). Sensors …

The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari
Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia–Pacific area …

Dust storms have occurred frequently in northwest China and can dramatically reduce
visibility and exacerbate air quality in downwind regions through long-range transport. In …

Enhancing the dust storm detection is a key part for the environmental protection, human
healthy and economic development. The goal of this paper is to propose a new Support …

This study conducted the first comprehensive assessment of the aerosol optical depth (AOD)
product retrieved from the observations by the Advanced Himawari Imager (AHI) onboard …

This study presents the development of an artificial neural network (ANN) model to
quantitatively estimate the atmospheric aerosol load (in terms of aerosol optical depth …