Use of high-resolution images in local area management tasks

https://doi.org/10.35595/2414-9179-2021-1-27-263-276

View or download the article (Rus)

About the Authors

Marina G. Erunova

The Federal State Budget Scientific Institution, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the RAS”,
Akademgorodok str., 50, 660036, Krasnoyarsk, Russia;
E-mail: marina@icm.krasn.ru

Anna A. Gosteva

The Federal State Budget Scientific Institution, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the RAS”,
Akademgorodok str., 50, 660036, Krasnoyarsk, Russia;
E-mail: agosteva@icm.krasn.ru

Abstract

For an enormous amount of time, people are trying to rationally use the territory where they live, work, and relax. There are a large number of methods to do this better and automate the process of effective territory management. One of the critical tasks of managing the territory is the operational monitoring of its current state. The best solution for this task is to use remote sensing data. According to MODIS data, currently, methods for active global monitoring of territories have been developed, and their archive began in 2000. However, this data has the insufficient spatial resolution to solve problems for local areas, such as an agricultural field, an urban neighborhood whose dimensions are comparable to the solution of 1-pixel MODIS. For such territories, it is necessary to use data with a higher spatial resolution.

The article describes the use of high-resolution satellite data from PlanetScope in the tasks of managing a local territory for four territories. 2 types of objects are considered: agricultural land is represented by experimental agricultural enterprise “Minino”, “Kuraginskoe” and “Mikhailovskoe”, urban land is represented by one object, the city of Krasnoyarsk. The statistical values of the NDVI, VARI, and CIGreen indices were obtained for each field in each farm during the entire growing season. The relationship between the annual course of vegetation indices and crops is analyzed. For the territory of the city of Krasnoyarsk, temperature maps were calculated according to Landsat 8 data with classification according to PlanetScope by the type of underlying surface, which allowed us to identify changes in the urban landscape by temperature anomalies.

Keywords

PlanetScope, satellite data, vegetation indices, land surface temperature, local territories.

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For citation: Erunova M.G., Gosteva A.A. Use of high-resolution images in local area management tasks InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 1. P. 263–276. DOI: 10.35595/2414-9179-2021-1-27-263-276 (In Russian)