Abstract Systems for rapid access to information products based on remote sensing data | UCP

Systems for rapid access to information products based on remote sensing data

ISARD-2025-remote009

Andrey V. Khmelnitsky1,2 , Anna N. Nikonova1 , Egor I. Holodov3 , Michail O. Kuchma3 , Vladislav D. Bloshinsky3 , Viktor Y. Romasko4 , Alexander V. Kucharsky1 , Elena V. Volkova1 , Evgeniy V. Vasilenko1 , Ekaterina V. Sadovnikova1
1 Scientific Research Center of Space Hydrometeorology «Planeta» 2 Lomonosov Moscow State University 3 Far East Center "Scientific Research Center of Space Hydrometeorology "Planeta" 4 Siberian Center Scientific Research Center of Space Hydrometeorology «Planeta»

SRC Planeta has developed visualization systems for satellite data and hydrometeorological information products (IP), which allow monitoring weather events in Russia and neighboring countries. The data is provided to consumers using regional web services, which have been worked on since 2016 by the Far Eastern [1], Siberian [2] and European centers. The Meteo Europe web GIS is currently being finalized, the prototype was the Arctic-M geoportal, created by the Far Eastern Center. The source of satellite data for the Meteo-Europe geoportal are the satellites of the Electro-L, Arctic-M and Meteor-M series, as well as the European Meteosat-9 satellite. Their decryption is carried out by an automatic software package developed by the organization using the threshold method based on indirect signs [3]. The IPs based on Arctic-M satellites data are generated 96 times a day, and every hour based on Meteosat data. Users have access to color-synthesized images based on data from the Arctic-M and Electro-L, Meteor-M and Meteosat spacecraft series, created using the methodology developed by SRC Planeta. Analytical IP, such as estimates of cloud cover characteristics, maximum precipitation intensity, and radiation temperature are generated based on Arctic-M and Meteosat-9 data. The IPs containing predictive data were created using the NCEP model. Users have access to the values of pressure in the surface layer of the atmosphere, temperatures and geopotential for isobaric surfaces of 500 and 700 gPa. The Meteo Europe web GIS uses the opensource GeoServer and OpenLayers software to publish geodata. The database is managed by the PostgreSQL database management system with the PostGIS extension. The storage period of the provided products is 3 days, total amount of data generated per day is 34 GB. The web GIS user interface includes elements for interacting with a set and time series of information products, including displaying quantitative values at each point of the thematic layer. Previously, users accessed this data via an FTP connection. Currently, data is distributed as thematic layers of the web-GIS and bitmap images through web services. The list of products is consistent with users and can be expanded, as well as the spatial coverage of individual information products. The ability to view images optimized for publication on the Internet significantly reduces the requirements for the characteristics of users' PCs and Internet connection speeds. IP published with a delay of less than 10 minutes are in demand by UGMS employees and representatives of third-party organizations.

1. Kuchma M. O., Kholodov E. I., Shamilova Yu.A. GIS "Arctic-M": current state // Data science, geoinformatics and system analysis in Earth Sciences, Suzdal, September 25-27, 2024 / Geophysical Center of the RAS. - Suzdal : Geophysical Center of the Russian Academy of Sciences. - 2024.

2. Romasko V. Y. Geoinformation service "Meteo-Siberia". Architecture and implementation // Proceedings of the International Scientific Conference "Interexpo GEO-Siberia 2023", 2023, vol.4 pp. 192-199

3. Volkova E.V., Kukharsky A.V. Automated technology for the diagnosis of cloud cover parameters, precipitation and dangerous weather phenomena for the European territory of Russia according to the SEVIRI radiometer from geostationary Meteosat MSG series weather satellites // Hydrometeorological research and forecasts. 2020. No. 4 (378). pp. 43-62.