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Remote monitoring of green plants of Ufa in 1988-2018
- Authors: Rakhmatullina I.R.1, Rakhmatullin Z.Z.2, Kulagin A.Y.1,3
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Affiliations:
- Bashkir State Pedagogical University
- Bashkir State Agrarian University
- Ufa Federal Research Centre of the Russian Academy of Sciences,
- Issue: Vol 28, No 3 (2020)
- Pages: 263-274
- Section: Ecology
- URL: https://journals.rudn.ru/ecology/article/view/26414
- DOI: https://doi.org/10.22363/2313-2310-2020-28-3-263-274
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Abstract
Green spaces of the city are an integral part of its ecological framework. When planning urban space, information is needed on their actual distribution, condition and dynamics. To do this, it is advisable to use satellite images. The purpose of the work is to conduct remote monitoring of green spaces of Ufa using Landsat satellite images over the past 30 years. Image processing, including radiometric calibration, reducing the amount of data from 6 channels to 3 main components, uncontrolled classification of images, grouping classes to 5 types of underlying surface (open soil, no vegetation, grassy vegetation, tree and shrub vegetation, underwater), matrix construction changes were made using the tools of the SAGA GIS software product. As a result, a map was constructed showing spatial changes of the “tree-shrub vegetation” type over 30 years. The plots on which this type is preserved make up 16 073 ha, on which it was replaced by another type of underlying surface - 3700 ha. Plots characterized in 1988 by other types, and in 2018 converted to the “tree-shrub vegetation” type, occupy 8665 ha. On the one hand, there is a positive trend in the conservation and increase in the area of tree-shrub plantings. But this is not characteristic of the entire urban district, but mainly of the forests of the Ufa urban forestry, which are located mainly on the outskirts, around the central part of the city. For intracity tree-shrub plantings that are not related to the forest fund and located in the built-up part of the city, stable negative dynamics and a change in other types of underlying surface are characteristic.
About the authors
Irina R. Rakhmatullina
Bashkir State Pedagogical University
Author for correspondence.
Email: rahmat_irina@mail.ru
Сandidate of Biological Sciences, Associate Professor of the Department of Ecology, Geography and Nature Management
3a Oktyabrskoy revolyutsii St, Ufa, 450008, Russian FederationZagir Z. Rakhmatullin
Bashkir State Agrarian University
Email: zagir1983@mail.ru
Candidate of Agricultural Sciences, Associate Professor of the Department of Forestry and Landscape Design
34 50-letiya Oktyabrya St, Ufa, 450001, Russian FederationAlexey Yu. Kulagin
Bashkir State Pedagogical University; Ufa Federal Research Centre of the Russian Academy of Sciences,
Email: coolagin@list.ru
Doctor of Biological Sciences, Professor, Head of the Laboratory of Forest Science of the Ufa Institute of Biology
3a Oktyabrskoy revolyutsii St, Ufa, 450008, Russian Federation; 69 Prospekt Oktyabrya, Ufa, 450054, Russian FederationReferences
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