Investigation of periodic changes in the Coastline of Anzali international wetland using remote sensing

Document Type : scientific research article

Authors

1 Corresponding Author, Professor, Dept. of Aquatics Production and Exploitation, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

2 Associate Prof., Dept. of Environmental Sciences, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran and Dept. of Water Engineering and Environmental Sciences, Caspian Sea Basin Research Center, University of Guilan, Rasht, Iran

3 Ph.D., Dept. of Aquatics Production and Exploitation, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

4 M.Sc., Dept. of Environmental Sciences, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, Iran

5 Ph.D., Dept. of Fisheries, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran

Abstract

Monitoring wetlands and especially their coastlines due to recording their periodic changes gives us a better understanding of the management of these areas. Remote sensing data and satellite images are one of the reliable sources for studying and interpreting changes in wetlands. In this study, Landsat images (TM-OLI) 2007 and 2018 were examined in order to examine the changes. After performing the required processing and corrections, the NDWI index was used to separate the water and land border. Accordingly, the maximum coastline changes were in the east, west and center of the wetland with distances of 10885.82, 5781.22 and 3370.830 meters, respectively, compared to 2007. The results of the study of the wetland water area showed that the area of the wetland had a decreasing trend 2007 to 2018 (100.06 and 29.5 km2, respectively) and the most changes were related to the eastern and central parts. Overall the results showed fluctuations of coastlines and water area in the studied years have been affected by changes in the water level of the Caspian Sea. Also, this study showed the efficiency remote sensing performance and NDWI index in identifying critical area in Anzali Wetland and better knowledge of the dynamic conditions of the wetland.

Keywords

Main Subjects

References

1.Talukdar, S., & Pal, S. )2020(. Wetland habitat vulnerability of lower Punarbhaba river basin of the uplifted Barind
region of Indo-Bangladesh, Geocarto International, 35 (8), 857-886.
2.Kiabi, B., Gaemi, R., & Abdoli, A. )1999(. Wetland and river ecosystems of Golestan province. General Department of Environmental Protection of Golestan Province, 182p. [In Persian]
3.Mansori, G., & Khorasani, N. )1985(. Wetlands, their value and importance for humans. Journal of Environmental Studies, 13 (13), 63-100. [In Persian]
4.Bagheri, R., & Shataee, Sh. )2010(. Modeling forest areas decreases, using logistic regression (Case study: Chehl-Chay catchment, Golestan province). Iranian Journal of Forest, 2 (3), 243-252. [In Persian]
5.Soffianian, A., Mohamadi Towfigh, E., Khodakarami, L., & Amiri, F. )2011(. Preparation of land use map using artificial neural network method (Case study: Kaboudarahang, Razan and Khonjin- Talkhab catchment in Hamedan province). Journal of RS and GIS for Natural Resources, 2(1), 1-11. [In Persian]
6.Özesmi, S. L., & Bauer, M. E. )2002(. Satellite remote sensing of wetlands. Wetlands Ecology and Management,
10, 381-402.
7.Mao, D., Wang, Z., Du, B., Li, L., Tian, Y., Jia, M., Zeng, Y., Song, K., Jiang, M., & Wang, Y. )2020(. National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images, ISPRS Journal of Photogrammetry and Remote Sensing, 164, 11-25.
8.Cai, Y., Li, X., Zhang, M., & Lin, H. )2020(. Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data, International Journal of Applied Earth Observation and Geoinformation, 92, 102164.
9.Wang, J., Chen, J., Wen, Y., Fan, W., Liu, Q., & Tarolli, P. )2021(. Monitoring the coastal wetlands dynamics in Northeast Italy from 1984 to 2016, Ecological Indicators, 129, 107906.
10.Shirood Mirzaie, F. )2012(. Coastal classification of Gomishan Wetland according to the macroinvertebrates fauna and GIS, Master Thesis, Gorgan University of Agricultural Sciences and Natural Resources, 130p. [In Persian]
11.Liu, L., Zhou, Y., Wang, L., Hou, J., & Wu, M. )2013(. Computer and Computing Technologies in Agriculture VI, IFIP Advances in Information and Communication Technology. 393, 177-186.
12.Jokar Arsanjani, T., Javidan, R., Nazemosadat, M. J., Jokar Arsanjani, J., & Vaz, E.) 2015(. Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration fits future status by applying a cellular automata model, Computers & Geosciences, 78, 37-43.
13.Azari Dehkordi, F. )2009(. Determining the border of the preserved area in Anzali wetland. Tehran: Iranian Department of Environmental Protection. p. 105. [In Persian]
14.Mirzajani, A. R. )2009(. Limnological survey of Anzali wetland data during 1990-2003 by use of GIS system (Report No. 2009.111). Ministry of jihad-e-agriculture, Agricultural research education & extension organization, Iranian fisheries research organization, 123 p. [In Persian]
15.Finlayson, C. M., Milton, R., Prentice, C., & Davidson, N. C. (Eds.). )2018(. The Wetland Book-II-Distribution, Description and Conservation, 1966p.
16.Urbanskia, J. A., Wochnaa, A., Bubakb, I., Grzybowski, W., Lukawska-Matuszewskab, K., Łacka, M., ´Sliwinska, S., Wojtasiewiczb, B., & Zajaczkowskida, M. )2016(. Application of Landsat 8 imagery to regional-scale assessment of lake water quality, International Journal of Applied Earth Observation and Geoinformation, 51, 28-36.
17.Bonansea, M., Rodriguez, M. C., Pinotti, L., & Ferrero, S. )2015(. Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina), Remote Sensing of Environment, 158, 28-41.
18.Ji, L., Zhang, L., & Wylie, B. )2009(. Analysis of dynamic thresholds for the Normalized Difference Water Index. Photogrammetric Engineering & Remote Sensing, 75 (11), 1307–1317.
19.Japan International Cooperation Agency, "JICA". )2005(. Integrated management for Anzali Wetland. Department of Envieonment of Iran. Tehran.
20.Caspian Environment Programme (CEP). )1998(. Regional action plan for protection of Caspian habitats, CEP, Tehean, 276 p.
21.Saravi, H., Nasrollahzadeh, Z., Din, B., & Makhlough, A. )2007(. Trophic status of the Iranian Caspian Sea based
on water quality parameters and phytoplankton diversity, Continental Shelf Research journal, 28, 1153-1165.
22.Mescherskaya, A. V., & Aleksandrova, N. A. )1993(. Caspian Sea level forecast from meteorological data, Russ. Meteorol. Hydrol. J. 3, 52-60.
23.Anzali jihad-e-agriculture Department. )2007(. Report on the impact of Caspian Sea water fluctuations on coastal agricultural lands. Iran, Anzali jihad-e-agriculture Department Press. 95 р. [In Persian]
24.Holčík, J., & Oláh, J. )1992(. Fish, fisheries and water quality in Anzali Lagoon and its watershed. Report prepared for the project - Anzali Lagoon productivity and fish stock investigations. Food and Agriculture Organization, Rome, FI: UNDP/IRA/ 88/001 Field Document 2:x + 109 pp.
25.Kimball, D., & Kimball, S. )1974(. Limnology Anzali Wetland Studies. Translate EPA.
26.Ministry of Energy. )2011(. Surveying the Determination of Floodway and buffer of Anzali Wetland (Environmental Report), Iran Water Resources Management Company. [In Persian]
27.Sabetraftar, K. )1999(. Anzali Wetland Protection and Restoration Project (Phase III). Environmental Protection Agencyof Guilan and Guilan University, 570 p. [In Persian]
Journal of Utilization and Cultivation of Aquatics
Volume 12, Issue 4
January 2024
Pages 1-10

Files

Share

How to cite

Statistics