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Determination of spatiotemporal changes in Erzurum plain wetland system using remote sensing techniques

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Abstract

This study takes place in Erzurum city of Eastern Anatolia Region of Turkey Erzurum Plain Wetland, one of the wetlands of international importance that has biodiversity and countless benefits to its environment. Studies to offer opportunities to monitor long-term changes in the area by using advanced technology economically and effectively are expected to guide decision makers. In the present study, the changes in surface area of Erzurum Plain Wetland were investigated between 1998 and 2017 by using remote sensing techniques. As a result of the change analysis conducted using Landsat 5 TM, Landsat 7 ETM, and Landsat 8 OLI satellite data, it has been determined there is an expansion in deep and shallow water areas of the wetland. According to the results of the study, deep water areas expanded by 118.64% in 28 years. During this period, the total of deep water and shallow water reed areas increased by 9.08%. In the period of 1989–2017, the total area of the Erzurum Plain Wetland consisting of deep water, shallow water/reeds, and wet meadow/soil parts grew by 26.88%. In the study, the effects of change and human activities on this surface area change were also examined and it was found as a result of the evaluation that more than climatic factors, change of hydrological structure caused by increase in underground water reserves may be effective on the expansion.

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Data Availability

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Authors and Affiliations

  1. Department of Environmental Engineering, Atatürk University, Erzurum, Turkey

    Şahset İrdemez

  2. İzmir Development Agency, İzmir, Turkey

    Emine Bilgen Eymirli

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  1. Şahset İrdemez
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  2. Emine Bilgen Eymirli
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Correspondence to Şahset İrdemez.

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İrdemez, Ş., Eymirli, E.B. Determination of spatiotemporal changes in Erzurum plain wetland system using remote sensing techniques. Environ Monit Assess 193, 265 (2021). https://doi.org/10.1007/s10661-021-09041-x

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