A COMPARISON OF EMPIRICAL AND INTELIGENT METHODS FOR DUST DETECTION USING MODIS SATELLITE DATA

6 citations as recorded by crossref.

1. Integrating physical index and self-organizing mapping for aerosol dust detection (PISOM) over Himawari-8 AHI satellite images J. Li et al. 10.1016/j.atmosenv.2023.119921
2. Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia L. Shi et al. 10.1016/j.asr.2019.11.027
3. Review of dust storm detection algorithms for multispectral satellite sensors J. Li et al. 10.1016/j.atmosres.2020.105398
4. A Hybrid Algorithm for Dust Aerosol Detection: Integrating Forward Radiative Transfer Simulations and Machine Learning J. Jin et al. 10.1109/TGRS.2023.3301061
5. An evaluation of satellite dust-detection algorithms in the Middle East region A. Bin Abdulwahed et al. 10.1080/01431161.2018.1524589
6. Quantitative Aerosol Optical Depth Detection during Dust Outbreaks from Meteosat Imagery Using an Artificial Neural Network Model S. Kolios & N. Hatzianastassiou 10.3390/rs11091022