title: Assessment of urban sprawl of St. Petersburg urban areas based on Landsat satellite images
metadata.name: dc.contributor.author
metadata.value: Lachininskii, Stanislav S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Logvinov, Ilya A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vasileva, Vlada A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-02-06T13:18:34Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-02-06T13:18:34Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lachininskii, S. S., Logvinov, I. A., Vasileva, V. A. (2023). Assessment of urban sprawl of St. Petersburg urban areas based on Landsat satellite images. Vestnik of Saint Petersburg University. Earth Sciences, 68 (3), 471–489. https://doi.org/10.21638/spbu07.2023.303 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu07.2023.303
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44834
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In the context of urbanization processes and the territorial expansion of urban areas, the term
  “urban sprawl” or “urban sprawl” is used to describe the “phenomenon of urban sprawl”. This
  is a complex geographical process, which can be investigated on the basis of modern remote
  sensing data, including the use of multispectral satellite images of the Landsat project. The study actualized the process of processing and analysis of images using modern GIS complexes.
  As a result, the methodology of interpretation, mapping and calculation of changes
  in the dynamics of urbanized area growth for St. Petersburg was presented and tested. Each
  image was classified using machine learning by height standards. A class of urbanized areas
  was separately identified for each year of analysis. As part of this work, a map of the dynamics
  of urbanized territories over the study period was constructed, and the growth of the
  area of territories over the analysis period was quantitatively calculated. As a result, Landsat
  project space images, obtained due to the capabilities of the USGS database, turned out to
  be quite effective for detecting urban areas, water bodies, unused land and vegetation cover.
  Testing of the method on the example of St. Petersburg allowed seeing the results of expanding
  the built-up territory at the expense of peripheral (suburban) zones, including the effect
  of suburbanization. Over 25 years, urbanized areas have expanded due to the construction of
  infrastructure road facilities and housing construction of both low-rise projects and residential
  buildings, as well as large residential complexes. Further development of this study will
  include the Leningrad region contact area as part of the St. Petersburg urban agglomeration.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The study was supported by the Russian Science Foundation (project no. 23-27-00084 “The spatial
  and functional structure of the largest urban agglomerations of Russia in terms of increased geo-economic
  risks: new approaches, tools and recommendations for improvement”).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Earth Sciences;Volume 68; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: sprawl
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: land use
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: St. Petersburg agglomeration
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: geoinformation systems
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: satellite images
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: remote sensing Landsat satellite images
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: spatial development of the city
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Assessment of urban sprawl of St. Petersburg urban areas based on Landsat satellite images
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 03.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44834/1/03.pdf
resources.format: Adobe PDF
resources.size: 2,35 MB