Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes

AL Collins, M Blackwell, P Boeckx, CA Chivers… - Journal of Soils and …, 2020 - Springer
Purpose This review of sediment source fingerprinting assesses the current state-of-the-art,
remaining challenges and emerging themes. It combines inputs from international scientists …

Review of dust storm detection algorithms for multispectral satellite sensors

J Li, MS Wong, KH Lee, J Nichol, PW Chan - Atmospheric Research, 2021 - Elsevier
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 …

Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product

M Filonchyk, H Yan, Z Zhang - Theoretical and Applied Climatology, 2019 - Springer
This study reviews spatial and temporal variability of aerosol optical depth (AOD) at 550 nm,
obtained with Moderate Resolution Imaging Spectroradiometer (MODIS)(Terra) Collection …

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

M Kazemi Garajeh, G Laneve, H Rezaei… - Pollutants, 2023 - mdpi.com
Air pollution (AP) is a significant risk factor for public health, and its impact is becoming
increasingly concerning in developing countries where it is causing a growing number of …

Distribution and transport characteristics of dust aerosol over Tibetan Plateau and Taklimakan Desert in China using MERRA-2 and CALIPSO data

X Xu, H Wu, X Yang, L Xie - Atmospheric environment, 2020 - Elsevier
The distribution and transportation characteristics of dust aerosol over the Tibetan Plateau
(TP) and Taklimakan Desert (TD) were analyzed during 1980–2017 using MERRA-2 …

Spatial–Temporal Distribution Characteristics of PM2.5 in China in 2016

Y Huang, Q Yan, C Zhang - Journal of Geovisualization and Spatial …, 2018 - Springer
Air pollution in China, mainly caused by PM 2.5, has become worse in recent years. Large-
scale studies on spatial–temporal distribution characteristics of PM 2.5 in China have been …

Introducing a novel dust source identification method based on edge points and paths extracted from integration of time-series MODIS products

NA Tehrani, F Farhanj, M Janalipour - Remote Sensing Applications …, 2023 - Elsevier
In this paper, a novel method for identifying dust sources in the Middle East using multi-
temporal MODIS images was introduced. This method was utilized to identify the sources of …

Characteristics of Dust Events in China from 2015 to 2020

L Yang, S Zhang, Z Huang, Y Yang, L Wang, W Han… - Atmosphere, 2021 - mdpi.com
As the main source of dust in Asia, China often suffers from dust events. The temporal and
spatial characteristics of dust events change with the variations of geography, climate and …

Temporal and spatial variation of particulate matter and its correlation with other criteria of air pollutants in Lanzhou, China, in spring-summer periods

M Filonchyk, H Yan, X Li - Atmospheric Pollution Research, 2018 - Elsevier
The present study on major atmospheric pollutants is based on data received from 5 ground-
based air-quality monitoring stations and satellite sounding which provides for the use of …

Characteristics of aerosol optical depth over land types in central Asia

J Liu, J Ding, L Li, X Li, Z Zhang, S Ran, X Ge… - Science of the Total …, 2020 - Elsevier
Aerosols are an important contributor to global atmospheric changes and have critical
effects on the climate system. Regionally, aerosols in central Asia comprise a significant …