Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

Integration of Remote Sensing Data with Electronic Government Information Resources at the Municipal Level

Authors
A.A. Tesalovsky, Yu.M. Avdeev, D.A. Zavarin, D.V. Titov, N.V. Anisimov
Corresponding Author
A.A. Tesalovsky
Available Online 1 August 2020.
DOI
10.2991/aebmr.k.200730.007How to use a DOI?
Keywords
unmanned aerial vehicles, remote sensing of the Earth, Unified State Register of Property Rights, agricultural land, cadastral registration, digital mapping
Abstract

The subject of the study is the need and the possibility of using remote sensing data in the absence of reliable information from electronic federal information resources and the geospatial binding of their data with a view to further data integration. The article discusses the main disadvantages and advantages of the use of unmanned aerial vehicles for electronic mapping on the example of lands outside the settlements. For all the advantages of using unmanned aerial vehicles for cartographic support of electronic state information resources, their use is difficult due to the insufficient development of the regulatory framework for their use for aerial photography of the area. With remote sensing, despite the ever-increasing accuracy of the data obtained, it is not yet possible to exclude ground-based measurements. It has been established that, on average, the share of agricultural land registered in the state cadastral registration, the location information of which is contained in the Unified State Register of Property Rights, decreases with distance from the borders of settlements. The use of modern technologies and methods of remote sensing allows solving a range of problems from legal and environmental ones to data exchange and integration with federal, regional and municipal information resources.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
1 August 2020
ISBN
10.2991/aebmr.k.200730.007
ISSN
2352-5428
DOI
10.2991/aebmr.k.200730.007How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - A.A. Tesalovsky
AU  - Yu.M. Avdeev
AU  - D.A. Zavarin
AU  - D.V. Titov
AU  - N.V. Anisimov
PY  - 2020
DA  - 2020/08/01
TI  - Integration of Remote Sensing Data with Electronic Government Information Resources at the Municipal Level
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 33
EP  - 37
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.007
DO  - 10.2991/aebmr.k.200730.007
ID  - Tesalovsky2020
ER  -