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Land use change detection and impact assessment in Anzali international coastal wetland using multi-temporal satellite images

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Abstract

Anzali is one of the 18 Iranian wetlands of international importance listed in Ramsar Convention. This unique ecosystem in the world with high ecological diversity is highly threatened by various factors such as pollutants, sedimentation, unauthorized development of urban infrastructure, over-harvesting of wetland resources, land use changes, and invasive species. Among which, one of the most challenging destructive factors, land use change, was scrutinized in this study. For this, remotely sensed data and Geographical Information System (GIS) were used to detect land changes and corresponding impacts on the study area over a 38-year period from 1975 to 2013.. Changes in the study area were traced in five dominant land-use classes at four time intervals of 1975, 1989, 2007, and 2013. Accordingly, changes in different categories were quantified using satellite images. The methodology adopted in this study includes an integrated approach of supervised classification, zonal and object-oriented image analyses. According to the Kappa coefficient of 0.84 for the land use map of 2013, the overall accuracy of the method was estimated at 89 %, which indicated that this method can be useful for monitoring and behavior analysis of other Iranian wetlands. The obtained results revealed extensive land use changes over the study period. As the results suggest, between the years 1975 to 2013, approximately 6500 ha (∼69 %) rangeland area degraded. Further, urban and agricultural areas have been extended by 2982 ha (∼74 %) and 2228 ha (∼6 %), respectively. This could leave a negative impact on water quality of the wetland.

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References

  • Adam, E., Mutanga, O., & Rugege, D. (2010). Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecology and Management, 18, 281–296.

    Article  Google Scholar 

  • Agricultural Research, Education & Extension Organization (AREEO) (2015). Rice research institute of Iran, deputy of Mazandaran. Available at: berenjamol.areo.ir. Accessed date 19 Feb 2015

  • Ashoori, A., & Abdoos, A. (2013). Important wetland habitats for waterbirds of Gilan. Tehran: Katibeh Gyll Publication (In Persian).

    Google Scholar 

  • Chen, L., Jin, Z., Michishita, R., Cai, J., Yue, T., Chen, B., & Xu B. (2014). Dynamic monitoring of wetland cover changes using time-series remote sensing imagery. Ecological Informatics, 24, 17–26.

  • Dronova, I., Gong, P., & Wang, L. (2011). Object-based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China. Remote Sensing of Environment, 115(12), 3220–3236.

    Article  Google Scholar 

  • Erwin, K. L. (2009). Wetlands and global climate change: The role of wetland restoration in a changing world. Wetlands Ecology and Management, 17(1), 71–84.

  • Fallah, M., Fakheran Esfahani, S., Pirali Zafarei, A., Farhadian, A. (2014). Investigation of physical and chemical properties of water in Anzali international wetland. The 2nd National and Professional Conference on the Environmental Researches, Iran. (In Persian)

  • Gustard, A., & Wesselink, A. J. (1993). Impact of land-use change on water resources: Balquhidder catchments. Journal of Hydrology, 145(3–4), 389–401.

    Article  Google Scholar 

  • Hosseini, M., Ghafouri, A. M., Amin, M. S. M., Tabatabaei, M. R., Goodarzi, M., & Abde Kolahchi, A. (2012). Effects of land use changes on water balance in Taleghan catchment, Iran. Journal of Agricultural Science and Technology, 14, 1159–1172.

    Google Scholar 

  • Japan International Cooperation Agency and Department of Environment the Islamic Republic of Iran (JICA and DOE) (2005). The study on Integrated management for ecosystem conservation of the Anzali Wetland.

  • Japan International Cooperation Agency and Department of Environment the Islamic Republic of Iran (JICA and DOE) (2012). Anzali Wetland ecological management project in the Islamic Republic of Iran - Zoning Plan in the Anzali Wetland, p. 1.

  • Jones, K., Lanthier, Y., Voet, P., Valkengoed, E., Taylor, D., & Fernández-Prieto, D. (2009). Monitoring and assessment of wetlands using Earth Observation: The GlobWetland project. Journal of Environmental Management, 90, 2154–2169.

    Article  Google Scholar 

  • Kennish, M. J. (2002). Environmental threats and environmental future of estuaries. Environmental Conservation, 29, 78–107.

    Article  Google Scholar 

  • Kiani Saba, M., & Pourjahan, S. (2013). Environmental condition of Anzali wetland, The 1st National Conference on Tourism and Ecotourism in Iran. (In Persian).

  • Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2013). Land use/land cover change analysis using object-based classification approach in Munessa-Shashemene landscape of the Ethiopian highlands. Remote Sensing, 5, 2411–2435.

    Article  Google Scholar 

  • Li, Q., Cai, T., Yu, M., Lu, G., Xie, W., & Bai, X. (2013). Investigation into the impacts of land-use change on runoff generation characteristics in the upper Huaihe River Basin, China. Journal of Hydrologic Engineering, 18(11), 1464–1470.

    Article  Google Scholar 

  • Municipality of Anzali (2009). http://anzali.ir/and www.shomalnews.com (In Persian).

  • Nielsen, E. M., Prince, S. D., & Koeln, G. T. (2008). Wetland change mapping for the U.S. mid- Atlantic using an outlier detection technique. Journal of Remote Sensing of Environment, 112, 4061–4074.

    Article  Google Scholar 

  • Nouri, J., Gharagozlou, A., Arjmandi, R., Faryadi, S. V., & Adl M. (2013). Monitoring of land use changes in Anzali city to achieve the goals of sustainable urban development. The 3rd International Conference on Environmental Planning and Management. (In Persian).

  • Okta Pribadi, D., & Pauleit, S. (2015). The dynamics of peri-urban agriculture during rapid urbanization of Jabodetabek Metropolitan Area. Land Use Policy, 48, 13–24.

    Article  Google Scholar 

  • Ozesmi, S. L., & Bauer, M. E. (2002). Satellite remote sensing of wetlands. Wetlands Ecology and Management, 10, 381–402.

    Article  Google Scholar 

  • Pandian, M., Rajagopal, N., Sakthivel, G., & Amrutha, D. E. (2014). Land use and land cover change detection using remote sensing and GIS in parts of Coimbatore and Tiruppur districts, Tamil Nadu, India. International Journal of Remote Sensing & Geoscience (IJRSG), 3(1), 15–20.

    Google Scholar 

  • Phukan, P., Thakuriah, G., & Saikia, R. (2013). Land use land cover change detection using remote sensing and GIS techniques—a case study of Golaghat district of Assam, India. International Research Journal of Earth Sciences, 1(1), 11–15.

    Google Scholar 

  • Ramsar Convention, (2012). Report of the Secretary General on the implementation of the Convention at the global level. Ramsar COP11 DOC. 7. http://www.ramsar.org/pdf/cop11/doc/cop11-doc07-e-sg.pdf.

  • Ruefenacht, B., Vanderzanden, D., & Morrison, M. (2002). New technique for segmenting images. An image segmentation algorithm developed by the USDA Forest service, Remote Sensing Application Center. http://www.fs.fed.us/Sadatiyan Abkenar, M. (2012). Guide to Water and Wastewater Engineering, Maks e Nazar Publication. (In Persian).

  • Stehman, S. V. (1999). Basic probability sampling designs for thematic map accuracy assessment. International Journal of Remote Sensing, 20, 2423–2441.

    Article  Google Scholar 

  • Sun, B., & Zhou, Q. (2016). Expressing the spatio-temporal pattern of farmland change in arid lands using landscape metrics. Journal of Arid Environments, 124, 118–127.

    Article  Google Scholar 

  • TEEB, (2010). The economics of ecosystems and biodiversity: ecological and economic foundations. Editor: Kumar P. Earthscan, London and Washington.

  • Zebardast, L., & Jafari, R. (2011). Assessment of changes in Anzali wetland using remote sensing and management solutions. Journal of Ecology, 37(57), 57–64 (In Persian).

    Google Scholar 

  • Zhang, W. W., Yao, L., Li, H., Sun, D. F., & Zhou, L. D. (2011). Research on land use change in beijing hanshiqiao wetland nature reserve using remote sensing and GIS. Procedia Environmental Sciences, 10, 583–588.

    Article  Google Scholar 

  • Zhu, C., Luo, J., Shen, Z., & Huang, C. (2011). Wetland mapping in the Balqash Lake Basin using multi-source remote sensing data and topographic features synergic retrieval. Procedia Environmental Sciences, 10, 2718–2724.

    Article  Google Scholar 

  • Wagner, P. D., Kumar, S., & Schneider, K. (2013). An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India. Hydrology and Earth System Sciences, 17, 2233–2246 www.ramsar.org/country-profiles.x.

    Article  Google Scholar 

  • Zhaoning, G., Huili, G., Wenji, Z., Xiaojuan, L., & Zhuowei, H. (2007). Using RS and GIS to monitoring Beijing wetland resources evolution. IEEE International, 4596 – 4599.

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Acknowledgments

We express our sincere gratitude for the services rendered by the Ravian Danesh Mohit Company in proofreading of the manuscript.

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Correspondence to Hamidreza Ghaffarzadeh.

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Mousazadeh, R., Ghaffarzadeh, H., Nouri, J. et al. Land use change detection and impact assessment in Anzali international coastal wetland using multi-temporal satellite images. Environ Monit Assess 187, 776 (2015). https://doi.org/10.1007/s10661-015-4900-0

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