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This paper presents a method for retrieving optical parameters from volcanic sulfate aerosols from the AHI radiometer on board the Himawari-8 satellite. The proposed method is based on optical models for various mixtures of aerosol components from volcanic clouds, including ash particles, ice crystals, water drops, and sulfate aerosol droplets. The application of multi-component optical models of various aerosol compositions allows for the optical thickness and mass loading of sulfate aerosol to be estimated in the sulfuric cloud formed after the Karymsky volcano eruption on 3 November 2021. A comprehensive analysis of the brightness temperatures of the sulfuric cloud in the infrared bands was performed, which revealed that the cloud was composed of a mixture of sulfate aerosol and water droplets. Using models of various aerosol compositions allows for the satellite-based estimation of optical parameters not only for sulfate aerosol but also for the whole aerosol mixture. [ABSTRACT FROM AUTHOR]

Volcano deformation monitoring is one of the most widely studied research topics by using interferometric synthetic aperture radar (InSAR). In the new open and big SAR data era, the development of data processing methods, and interdisciplinary integration have pushed volcanic study into a new stage. This paper reviews the studies of volcano monitoring and parameter inversion based on InSAR. First, we introduce the principle of InSAR, the advanced InSAR time series methods, and the main error sources. Then, we summarize the commonly used classical analytical and numerical models in volcanic deformation modeling. We select several cases to introduce the specific InSAR applications in studying volcanic tectonic dynamic mechanisms including magma transfer, eruption, degassing and hydrothermal activity. Finally, we summarize the current status of volcanic deformation monitoring in China and the future advances of InSAR volcano geodesy. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)