Vol. 31, issue 07, article # 5

Kalinin N. A., Shklyaev V. A., Isakov S. V. Use of Landsat data to determination of the dynamics of land-use change and differential albedo. // Optika Atmosfery i Okeana. 2018. V. 31. No. 07. P. 530–536. DOI: 10.15372/AOO20180705 [in Russian].
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Abstract:

The problem of determining the dynamics of land-use change and differential albedo was solved with the help of high-resolution images from satellites of Landsat group for the city of Perm in 1987–2013. It is shown that the method suggested for processing of multi-temporal images allows quick qualitative assessment of changes in the underlying surface of the city. It was revealed that human activity is the main factor affecting the changes in the structure of land use and albedo of the territory.

Keywords:

albedo, land-use patterns, satellites, Landsat, microclimate

Figures:

References:

    1.    Giordano F., Marini A. A landscape approach for detecting and assessing changes in an area prone to desertification in Sardinia (Italy) // Int. J. Navigat. Observ. 2008. V. 2008. 5 p.
   2. Dneprovskaya V.P., Peremitina T.O., Yashchenko I.G. Monitoring sostoyaniya rastitel'nogo pokrova neftedobyvayushchih territorij Tomskoj oblasti po sputnikovym dannym // Optika atmosf. i okeana. 2018. V. 31, N 1. P. 57–62.
   3. Svarovskaya L.I., Yashchenko I.G., Altunina L.K. Adaptivnaya sistema monitoringa dlya otsenki masshtaba zagryazneniya territorij predpriyatij neftegazovogo kompleksa // Optika atmosf. i okeana. 2017. V. 30, N 2. P. 177–183.
   4. Bounoua L., Defries R., Collatz G.J., Sellers P., Khan H. Effects of land cover conversion on surface climate // Clim. Change. 2002. V. 52, N 1. P. 29–64.
   5. Dickinson R.E. Land surface processes and climate-surface albedos and energy balance // Adv. Geophys. 1983. V. 25. P. 305–353.
   6. Wang S. Dynamics of land surface albedo for a boreal forest and its simulation // Ecol. Model. 2005. V. 183. P. 477–494.
   7. Wang S., Trishchenko A., Khlopenkov K., Davidson A. Comparison of international panel on climate change Fourth Assessment Report climate model simulations of surface albedo with satellite products over northern latitudes // J. Geophys. Res. D. 2006. V. 111. 17 p.
   8. Myagkov S.M. Mekhanizm formirovaniya teplovogo balansa v gorodskoj zastrojke na primere g. Moskvy: Dis. … kand. tekhn. nauk. M.: Nauch.-issled. i proekt.-izyskat. in-t ekologii goroda Moskomarhitektury Pravitel'stva Moskvy, 2004. 129 p.
   9. Song J. Diurnal asymmetry in surface albedo // Agric. For. Meteorol. 1998. V. 92. P. 181–189.
10. URL: http://speclab.cr.usgs.gov/spectral-lib.html (last access: 19.12.2017).
11. Kalinin N.A., P'yankov S.V., Sviyazov E.M., Smirnova A.A. Tekhnologiya kompleksnoj otsenki fitomassy sel'skohozyajstvennyh kul'tur po dannym distantsionnogo zondirovaniya Zemli // Vestn. Udmurt. un-ta. Ser. Biologiya. Nauki o Zemle. 2010. Is. 4. P. 11–18.
12. Peremitina T.O., Yashchenko I.G. Kompleksnyj podhod k otsenke vliyaniya antropogennyh i prirodnyh faktorov na okruzhayushchuyu sredu neftegazodobyvayushchih territorij // Optika atmosf. i okeana. 2015. V. 28, N 6. P. 544–547.
13. Kobzar' S.K., Peremitina T.O., Yashchenko I.G. Analiz sostoyaniya rastitel'nosti neftedobyvayushchih territorij Tomskoj oblasti s primeneniem dannyh distantsionnogo zondirovaniya // Optika atmosf. i okeana. 2016. V. 29, N 5. P. 414–418.
14. Li X., Yeh A.G.O. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS // Landsc. Urban Plan. 2004. V. 69. P. 335–354.
15. McKenzie P., Cooper A., McCann T., Rogers D. The ecological impact of rural building on habitats in an agricultural landscape // Landsc. Urban Plan. 2011. V. 101. P. 262–268.
16. Shi Y., Xiao J., Shen Y. Quantifying the spatial differences of landscape change in the Hai River Basin, China, in the 1990s // Int. J. Remote Sens. 2012. V. 33, N 14. P. 4482–4501.
17. Afonin S.V. K voprosu o primenimosti vosstanovlennyh iz kosmosa meteodannyh MODIS dlya atmosfernoj korrektsii sputnikovyh IK-izmerenij // Optika atmosf. i okeana. 2010. V. 23, N 8. P. 684–690; Аfоnin S.V. Applicability of space-derived meteorological data to atmospheric correction of satellite Infrared measurements // Atmos. Ocean. Opt. 2011. V. 24, N 1. P. 56–63.
18. Аfоnin S.V. Znachenie obnovlenij 2007–2011 years v modelyah molekulyarnogo pogloshcheniya dlya atmosfernoj korrektsii sputnikovyh IK-izmerenij // Optika atmosf. i okeana. 2012. V. 25, N 10. P. 871–877.
19. Kalinin N.A. Monitoring, modelirovanie i prognoz sostoyaniya atmosfery v umerennyh shirotah. Perm': Perm. gos. nats. issled. un-t, 2015. 308 p.
20. Akbari H., Pomerantz M., Taha H. Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas // Sol. Energy. 2001. V. 70, N 3. P. 259–310.
21. Synnefa A., Karlessi T. Experimental testing of cool colored thin layer asphalt and estimation of its potential to improve the urban microclimate // Build. Environ. 2011. P. 38–44.