A review of techniques and technologies for sand and dust storm detection
Sand and dust storms (SDSs) are common phenomena in many parts of the world, which
offer serious hazards to the environment, economy and health. An early warning of the …
offer serious hazards to the environment, economy and health. An early warning of the …
Review of dust storm detection algorithms for multispectral satellite sensors
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 …
and time. Dust storm detection using satellite observations is important to analyze the dust …
Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia
L Shi, J Zhang, D Zhang, T Igbawua, Y Liu - Advances in Space Research, 2020 - Elsevier
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 …
healthy and economic development. The goal of this paper is to propose a new Support …
A multi-scale hybrid neural network retrieval model for dust storm detection, a study in Asia
Dust storms are known to have adverse effects on human health and significant impact on
weather, air quality, hydrological cycle, and ecosystem. Atmospheric dust loading is also …
weather, air quality, hydrological cycle, and ecosystem. Atmospheric dust loading is also …
Detection of dust storms using MODIS reflective and emissive bands
E El-ossta, R Qahwaji, SS Ipson - IEEE Journal of Selected …, 2013 - ieeexplore.ieee.org
Dust storms are one of the natural phenomena, which have increased in frequency in recent
years in North Africa, Australia and northern China. Satellite remote sensing is the common …
years in North Africa, Australia and northern China. Satellite remote sensing is the common …
Dust storm detection using random forests and physical-based approaches over the Middle East
AH Souri, S Vajedian - Journal of Earth System Science, 2015 - Springer
Dust storms are important phenomena over large regions of the arid and semi-arid areas of
the Middle East. Due to the influences of dust aerosols on climate and human daily activities …
the Middle East. Due to the influences of dust aerosols on climate and human daily activities …
Integrating physical index and self-organizing mapping for aerosol dust detection (PISOM) over Himawari-8 AHI satellite images
Dust detection from satellite images has been explored with both physical dust index
method and machine learning method. However, both methods have their own limitations …
method and machine learning method. However, both methods have their own limitations …
Retrieval of dust storm aerosols using an integrated Neural Network model
Dust storms are known to have adverse effects on public health. Atmospheric dust loading is
also one of the major uncertainties in global climatic modeling as it is known to have a …
also one of the major uncertainties in global climatic modeling as it is known to have a …
Dust storm detection of a convolutional neural network and a physical algorithm based on FY-4A satellite data
H Jiang, Q He, J Zhang, Y Tang, C Chen, X Lv… - Advances in Space …, 2022 - Elsevier
Quantitative identification of a dust storm weather is key to forecasting and early warning of
dust storm disasters. However, traditional visibility ground-based measurements cannot be …
dust storm disasters. However, traditional visibility ground-based measurements cannot be …
Statistical and neural pattern recognition methods for dust aerosol detection
P Rivas-Perea, JG Rosiles… - International journal of …, 2013 - Taylor & Francis
The dust storm phenomenon is a growing research area motivated by the potential harm that
dust aerosols can cause to human beings, and by advances in remote-sensing technology …
dust aerosols can cause to human beings, and by advances in remote-sensing technology …