Assessment of the Provision of Green Spaces in the Urban Industrial Area of Chelyabinsk Using Landsat Images
DOI:
https://doi.org/10.17308/geo/1609-0683/2023/1/93-102Keywords:
city, vegetation, time series, Landsat, normalized difference vegetation index (NDVI), urban forests, industrial cityAbstract
The purpose is to study of the green cover area changes of Chelyabinsk, assessment of the provision of green spaces per capita by city districts during the past 20 years from 2001 to 2020 and the developing of strategy for increasing urban forests area. Materials and methods. Radiometric and atmospheric corrections were made based on satellite images from Landsat 5, 7 and 8 satellites and the ENVI 5.3 software package in the period from 2001 to 2020. NDVI values were calculated, and the classification with learning has been performed for each image. Results and discussions. Prior to the thematic classification, the images were converted using the “Tasseled Cap” method, which was used to identify changes in land cover on multi-temporal satellite images, which improved the quality of interpretation of the characteristics of the physical properties of vegetation. The vegetation area was calculated as a percentage in Chelyabinsk during 2001-2020 for all city districts. Conclusion. To improve the ecological situation of Chelyabinsk, it is proposed to conduct an inventory of trees with the involvement of the public, to plant trees with spreading crowns to create more shade, to use vertical gardening, and to pay more attention to scientific developments.









