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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 1, pp. 106-121

CPR-SD: A software package for cloud parameters retrieval from satellite data

A.A. Filei 1 , A.I. Andreev 1 , Yu.A. Shamilova 1 
1 Far Eastern Center of SRC "Planeta", Khabarovsk, Russia
Accepted: 12.12.2023
DOI: 10.21046/2070-7401-2024-21-1-106-121
The paper presents functional capabilities of a software package for retrieving cloud parameters from satellite data called CPR-SD. This software allows to obtain information about optical and microphysical parameters of cloudiness, cloud height, cloud types, precipitation fields and rain rate using measurements of various satellite instruments (MSU-MR, MSU-GS, AHI, AVHRR, AMI, SEVIRI, etc.). The paper briefly outlines the information about the algorithms and methods for retrieving each of the cloud parameters. The CPR-SD has a cross-platform design, flexible configuration for processing the satellite information and operates in fully automatic mode. It implements methods and algorithms based on spectral and neural network analysis of satellite data. When data from new satellite instruments is available, the algorithms and methods of the CPR-SD are refined taking into account the functional features of these instruments. The retrieved cloudiness parameters saved in digital and raster data formats are provided by geographic information access systems Arctica-M (https://apps.dvrcpod.ru/arcticgis/) and Meteor-M (https://apps.dvrcpod.ru/meteorgis). This information is distributed among Russia’s territorial departments for hydrometeorology and environmental monitoring, aviation meteorologists, as well as government agencies and the Ministry of Civil Defence, Emergencies and Disaster Relief.
Keywords: CPR-SD, satellite data, cloudiness parameters, neural networks
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