ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 5, pp. 214-223

Assessment of dry land ecosystem dynamics based on time series of satellite images

R. Kharazmi 1 , E.А. Panidi 1 , M.М. Karkon Varnosfaderani 2 
1 Saint Petersburg State University, Saint Petersburg, Russia
2 Moscow State University of Land Management, Moscow, Russia
Accepted: 15.08.2016
DOI: 10.21046/2070-7401-2016-13-5-214-223
Spatiotemporal analysis of landscape dynamics in arid regions is very important for understanding the major threats that occur in arid ecosystems. The study deals with application of Landsat 5 and Landsat 8 multispectral satellite images to land type dynamics monitoring for the area of Hamoon Wetlands located in the Sistan Basin. The supervised maximum likelihood classification technique was applied to detect land type changes on the studied area. Cross-tabulation matrixes were used to assess the area change for different land types. The data presented in the matrixes were obtained by pairwise comparison of the masks, which were produced for four time slices (in 1992–2015) by classifying the basic land types. It is detected that main change in this region is consisted in replacement of approximately 54% of the water bodies area with desert areas and pastures in the period from 1992 to 2015. This change is related mainly to the regime of feeding rivers, which are not bringing enough water. The obtained results emphasize the importance of continuous monitoring of the ecosystem evolution in arid regions, which allows early detection of the significant change and quick adjustments of the land use management schema.
Keywords: Hamoon Wetlands, Sistan Basin, Helmand River, cross-tabulation matrix, multispectral imagery
Full text

References:

  1. Karkon Varnosfaderani M.M., Kharazmi R.S., Shapovalov D.A., Mitrofanov E.M. Otsenka tochnosti vizual'nogo deshifrirovaniya rastitel'novo pokrova na osnove vegetatsionnykh indeksov (na primere Zagrosa, zapadny Iran) (Accuracy ranking of plant cover visual photo interpretation based on vegetation indices (by example of the Zagros mountains, west Iran)), Izvestiya vuzov. Geodeziya i aerofotos"emka, 2016, Vol. 4, pp. 90-93.
  2. Kharazmi R.S., Chaban L.N., Analiz dinamiki ekosistem basseina Sistan po rezul'tatam avtomatizirovannoi obrabotki kosmicheskikh mul'tispektral'nykh snimkov (Analysis of dynamics of the Sistan Basin ecosystems using the results of automated processing of the multispectral satellite imagery), Izvestiya vuzov. Geodeziya i aerofotos"emka, 2015, Vol. 4, pp. 94–100.
  3. Chaban L.N., Teoriya i algoritmy raspoznavanie obrazov (Theory and algorithms of the pattern recognition), Moscow: MIIGAiK, 2004, 70 p.
  4. Chandra A.M., Ghosh S.K., Distantsionnoe zondirovanie i geograficheskie informatsionnye sistemy (Remote sensing and geographical information systems), Moscow: Tekhnosfera, 2008, 208 p.
  5. History of Environmental Change in the Sistan Basin Based on Satellite Image Analysis: 1976–2005, UNEP, 2006, 60 p.
  6. Rashki A., Eriksson P.G., Rautenbach C.J.de W., Kaskaoutis D.G., Grote W., Dykstra J., Assessment of chemical and mineralogical characteristics of airborne dust in the Sistan Region, Iran, Chemosphere, 2013, Vol. 90, pp. 227–236.
  7. Sharifikia M., Environmental challenges and drought hazard assessment of Hamoun Desert Lake in Sistan region, Iran, based on the time series of satellite imagery, Nat. Hazards, 2013, Vol. 65, pp. 201–217.
  8. Yuan F., Sawaya K.E., Loeffelholz B., Bauer M.E., Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing, Remote Sensing of Environment, 2005, Vol. 98, pp. 317–328. DOI:10.1016/j.rse.2005.08.006.