UDC: 
DOI: 
10.22389/0016-7126-2022-990-12-40-48
1 Belousov A.O.
2 Bogdanov V.L.
Year: 
№: 
990
Pages: 
40-48

Saint-Petersburg State Agrarian University

1, 
2, 
Abstract:
The article deals with the technology of creating a digital map of agricultural lands in QGIS in order to form an information base on their state in individual farms. As a result of the conducted research, the authors identified the main stages of creating a digital map, defined key tasks at the stage of spatial reference of raster images and proposed ways to solve them. We developed an algorithm for creating an attribute table using the Python programming language, which enables avoiding errors in the process of filling in the semantic part of the generated information base. The main tools for digitizing raster images are highlighted, and in order to identify mistakes in the process of forming its graphical part, a topological editing module is to be used. The obtained research results can be helpful for the executive authorities of the Russian Federation subjects, local self-government bodies to make decisions in the field of land and property management of a separate entity.
References: 
1.   Andreeva O. A. Geoinformatsionnoe semanticheskoe modelirovanie. ITNOU: informatsionnye tekhnologii v nauke, obrazovanii i upravlenii, 2019, no. 3 (13), pp. 27–32.
2.   Belousov A. O., Uvarova E. L. Geoinformatsionnye tekhnologii v zemleustroistve. Intellektual'nyi potentsial molodykh uchenykh kak draiver razvitiya APK: Materialy Mezhdunar. nauch.-prakt. konf. molodykh uchenykh i obuchayushchikhsya. Ch. 2, Sankt-Peterburg: Sankt-Peterburgskii gos. agrarnyi un-t, 2021, pp. 124–127.
3.   Gvishiani A. D., Tatarinov V. N., Kaftan V. I., Losev I. V., Manevich A. I. GIS-orientirovannaya baza dannykh dlya sistemnogo analiza i prognoza geodinamicheskoi ustoichivosti Nizhne-Kanskogo massiva. Issledovanie Zemli iz kosmosa, 2021, no. 1, pp. 53–66. DOI: 10.31857/S020596142101005X.
4.   Kozelkova E. N., Vasikova A. F. Prirodookhrannoe zonirovanie territorii na primere Beloyarskogo raiona Khanty-Mansiiskogo avtonomnogo okruga – Yugry. Mezhdunarodnyi nauchno-issledovatel'skii zhurnal, 2016, no. 11-5 (53), pp. 89–91. DOI: 10.18454/IRJ.2016.53.048.
5.   Koval'ova O. M. Analіz rozvitku vіdkritogo programnogo zabezpechennya GІS і sistemi QGIS. Vіsnik Kharkіvskogo Natsіonal'nogo avtomobіl'no-dorozhn'ogo unіversitetu, 2020, no. 90, pp. 7–12. DOI: 10.30977/BUL.2219-5548.2020.90.0.7.
6.   Kryukov S. M., Dubrovskii A. V., Ershov A. V. Razrabotka tekhnologii formirovaniya granits izbiratel'nykh uchastkov s ispol'zovaniem programmnogo kompleksa QGIS. Interekspo Geo-Sibir', 2020, Vol. 7, no. 2, pp. 78–82. DOI: 10.33764/2618-981X-2020-7-2-78-82.
7.   Levankov A. N., Dudkin A. A. Neirosetevaya identifikatsiya neispol'zuemykh sel'skokhozyaistvennykh zemel' na snimkakh distantsionnogo zondirovaniya Zemli v sisteme QGIS. Big data and advanced analytics, 2021, no. 7-1, pp. 102–109.
8.   Malochkin V. Yu., Gorbachev S. Yu. GIS kak vazhnyi instrument inventarizatsii zemel' sel'skokhozyaistvennogo naznacheniya. Mezhdunarodnyi zhurnal prikladnykh nauk i tekhnologii «Integral», 2019, no. 2 (2), pp. 93–96. DOI: 10.24411/2658-3569-2019-12016.
9.   Nevolina T. S. Sozdanie kartograficheskogo istochnika v QGIS. Sinergiya nauk, 2019, no. 38, pp. 141–148.
10.   Pavlova V. A., Stepanova E. A., Uvarova E. L. Proektirovanie informatsionnoi bazy inventarizatsii zemel' sel'skokhozyaistvennogo naznacheniya. Izvestia vuzov. Geodesy and Aerophotosurveying, 2021, Vol. 65, no. 2, pp. 200–208.
11.   Yarotskaya E. V., Patov A. M. Razvitie otechestvennykh geograficheskikh informatsionnykh sistem v usloviyakh importozameshcheniya. Politematicheskii setevoi elektronnyi nauchnyi zhurnal Kubanskogo gos. agrarnogo un-ta, 2016, no. 117, pp. 175–188.
12.   Carosio ј. (2006) Geoinformationssysteme. Band 1. Institut für Geodäsie und Photogrammetrie. Eidgenössische Technische Hochschule Zürich. 153 p.
13.   Fastelli L., Rovai M., Andreoli M. (2018) A spatial integrated database for the enhancement of the agricultural custodianship role (SIDECAR) – some preliminary tests using Tuscany as a case-study region. Land Use Policy, no. 78., pp. 791–802. DOI: 10.1016/j.landusepol.2018.07.025.
14.   Riehle D. (2020) Creating and growing community open source projects. PLoP `20: Proceedings of the 27th Conference on Pattern Languages of Programs. pp. 1–14.
15.   Rovai M., Andreoli M., Monacci F. (2020) A GIS-Based model for the enhancement of rural landscapes: the case study of Valdera – Tuscany (Italy). Landscape Modelling and Decision Support, pp. 143–162. DOI: 10.1007/978-3-030-37421-1_8.
16.   Yangouliba G. I., Kwawuvi D., Almoradie A. (2020) Suitable land assessment for rice crop in Burkina Faso using GIS, Remote Sensing and Multi Criteria Analysis. Journal of Geographic Information System, no. 12, pp. 683–696. DOI: 10.4236/jgis.2020.126039.
17.   Yomralioglu T., McLaughlin J. Cadastre: Geo-Information innovations in land administration. Springer, New Delhi, 335 p. DOI: 10.1007/978-3-319-51216-7.
Citation:
Belousov A.O., 
Bogdanov V.L., 
(2022) Technology for creating a digital map of cultivated land in the territory of agricultural enterprises of the Leningrad oblast using QGIS. Geodesy and cartography = Geodezia i Kartografia, 83(12), pp. 40-48. (In Russian). DOI: 10.22389/0016-7126-2022-990-12-40-48
Publication History
Received: 12.11.2021
Accepted: 29.11.2022
Published: 20.01.2023

Content

2022 December DOI:
10.22389/0016-7126-2022-990-12