DOI: 
10.22389/0016-7126-2024-1003-1-24-32
1 Artemeva O.V.
2 Gnevashev F.A.
Year: 
№: 
1003
Pages: 
24-32

Saint Petersburg State university

1, 
2, 
Abstract:
Urban forms of settlement now have a direct impact on all aspects of the economic, social and cultural development of society. The study of the growth dynamics of cities and megacities using photogrammetry methods, together with the display of the structure and relationships of the studied territories by the methods and techniques of geoinformation cartography, becomes part of the system of scientific study of urbanization processes as a whole. At the same time, both technical algorithms for processing space images and final cartographic models compiled on the base of geographic information systems (GIS), what allow automated methods to track changes in space and time in a particular territory, are studied. This article demonstrates the development of an algorithm for processing remote sensing data (RSD) for creating electronic maps for the territory of the People`s Republic of China: in particular, one of the largest urban agglomerations – Shenyang, located in the southeast of China in Liaoning province. The authors note a distinctive feature of the algorithm: it uses fairly well known techniques for processing remote sensing data, however, some of the techniques have no analogues in other territories, but are characteristic exclusively for China due to its colossal population density, peculiarities of industry and agriculture, as well as natural originality in surroundings of the city. An analysis of the urbanized territory is presented from the point of view of dynamics. The introduction discusses the reasons for studying technical algorithms for deciphering urbanization problems specifically in the territory of China. Further, in the article, the collection of materials from satellite systems is described, the time limit for the study is justified, and the procedure for obtaining index images is given. At the next stage, the features of the algorithm for deciphering remote sensing data for the study area are presented, and fragments of maps are given. The conclusions outline the main results of the study
References: 
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Citation:
Artemeva O.V., 
Gnevashev F.A., 
(2024) Mapping of large urban agglomerations in the People Republic of China based on remote sensing data (using the example of Shenyang). Geodesy and cartography = Geodezia i Kartografia, 85(1), pp. 24-32. (In Russian). DOI: 10.22389/0016-7126-2024-1003-1-24-32
Publication History
Received: 11.09.2023
Accepted: 09.01.2024
Published: 25.02.2024

Content

2024 January DOI:
10.22389/0016-7126-2024-1003-1