Assessing Sevastopol greenery level using remote sensing

E.S. Kashirina1, 4, A.A. Novikov1, 3, E.I. Golubeva2, A.M. Novikova3

                           1Branch of M.V. Lomonosov Moscow State University in the city of Sevastopol, RF, Sevastopol, Geroyev Sevastopolya St., 7

Email: a_navik@bk.ru

2M.V. Lomonosov Moscow State University, Faculty of Geography, Environmental Management Department, RF,

Moscow, Leninskie Gory St., 1

Email: egolubeva@gmail.com

3Institute of Natural Technical Systems, RF, Sevastopol, Lenina St., 28

Email: anelkapi@bk.ru

4Sevastopol State University, City Development Institute, RF, Sevastopol, Kornilova nab., 1

E-mail: e_katerina.05@mail.ru

DOI: 10.33075/2220-5861-2020-2-108-116

UDC 502.1                                                           

Abstract:

   The article presents the results of assessing the greenery level and the condition of urban green spaces in Sevastopol based on remote sensing data. The Normalized Difference Vegetation Index (NDVI) is calculated using the Sentinel-2A satellite image (July 26, 2017) for the territory of the south-western part of the Crimean peninsula within the administrative borders of Sevastopol.

   Five classes characterizing the underlying surface are distinguished: land with a disturbed natural cover (under man-made objects) – 1st class; open areas with grassy-shrubby vegetation – 2nd class; green spaces with woody-shrubby vegetation with low (3rd grade), medium (4th grade) and high (5th grade) photosynthetic activity. The average NDVI value for the green spaces of Sevastopol varies from 0.19 to 0.81, which makes it possible to divide the vegetation sections by the level of photosynthetic activity and, as a result, the condition from unsatisfactory to excellent. About 25% of the city green spaces are in unsatisfactory condition, while other more than 75% is in satisfactory, good and excellent condition.

   The most important ecosystems of the city are identified, which include specially protected natural territories, parks, horticultural societies, cemeteries and memorial complexes: “Baidarsky” nature reserve, “Maximova Dacha” nature park, “Ushakova Balka” botanical nature monument, a green space on the square of General Sakharov etc.

   The mountain forests are characterized by good and excellent vegetation condition.

Keywords: green spaces, city, urban ecosystems, remote sensing, GIS technology, Crimea, Sevastopol.

Full text in PDF(RUS)

 LIST OF REFERENCES

  1. Bolund P., Hunhammar S. Ecosystem services in urban areas // Ecol. Econ., 29 (1999). P. 293–301.
  2. Beruchashvili N.L. Geophysics of the landscape. – M.: Higher school, 1990. 287 p. (In Russ.)
  3. Baimaganbetova G.A., Golubeva E.I. Satellite images for mapping and monitoring of green frame of the city of Astana. // InterKarto / InterGIS 22. Geoinformation support for sustainable development of territories in the context of global climate change: materials of Intern. Scientific conf. – M.: Scientific Library, 2016. V. 1. P. 370–379. (In Russ.) https://doi.org/10.24057/2414-9179-2016-1-22-370-380
  4. Kuznetsov OV, Markelov G.Ya. Assessment of green spaces of Khabarovsk using materials of remote sensing and GIS technologies // Geomatika. 2013. No. 1. P. 32–38. (In Russ.)
  5. Pogorelov A.V., Lipilin D.A. Green spaces of the city of Krasnodar. Assessment and long-term changes // Bulletin of the Perm National Research Polytechnic University. Applied Ecology. Urban Studies – 2017. No. 3. P. 192–205. (In Russ.) DOI: 10.15593 / 2409-5125 / 2017.03.15
  6. The assessment of individual characteristics of green spaces on the territory of Moscow city based on remote sensing [Electronic resource]: Access mode: https://sovzond.ru/projects/6018/ (accessed date: 05/09/2019).
  7. Feng L. Urban vegetation classifica-tion based on Phenology using HJ-1A/B time series imagery / Feng L., Zhu L.J., Liu H. [et al.] // Urban Remote Sens. Event-JURSE (2015). P. 1–4.
  8. Katie M. Spahr Greening up storm-water infrastructure: Measuring vegetation to establish context and promote cobene-fits in a diverse set of US cities / Katie M. Spahr, Colin D. Bell, John E. McCray [et al.] // Urban Forestry & Urban Greening. V. 48. 2020. P.126548
  9. NDVI – theory and practice [Electronic resource]: Access mode: http://gis-lab.info/qa/ndvi.html (accessed date: 09/05/2019). (In Russ.)
  10. Cherepanov A.S., Druzhinina E.G. Spectral properties of vegetation and vegetation indices // Geomatics. No. 3. 2009. P. 28-32. (In Russ.)
  11. Sentinel-2 [Electronic resource]: Access mode: https://eros.usgs.gov/sentinel-2 (accessed date: 09/05/2019).

 

 

 

If you have found a spelling error, please, notify us by selecting that text and pressing Ctrl+Enter.

Translate »

Spelling error report

The following text will be sent to our editors: