干旱区生态环境知识资源中心(Arid): Detection and Prediction of Water Body and Aquatic Plants Cover Changes of Choghakhor International Wetland, Using Landsat Imagery and the Cellular Automata-Markov Model

Arid

DOI	10.1134/S1995425520050091
	Detection and Prediction of Water Body and Aquatic Plants Cover Changes of Choghakhor International Wetland, Using Landsat Imagery and the Cellular Automata-Markov Model
	Reza, Pirali Zefrehei Ahmad; Aliakba, Hedayati; Saeid, Pourmanafi; Omid, Beyraghdar Kashkooli; Rasoul, Ghorbani
通讯作者	Reza, PZA
来源期刊	CONTEMPORARY PROBLEMS OF ECOLOGY
ISSN	1995-4255
EISSN	1995-4263
出版年	2020
卷号	13 期号:5 页码:545-555
英文摘要	The quantitative and qualitative study of wetland ecosystems is the main base for their sustainable use. In arid and semi-arid regions such as Iran, importance of wetlands is more obvious. Providing new information of changes in wetlands during several decades help us finding the reasons of alteration and making programs and policies. One of the most effective techniques in this field is remote sensing. Choghakhor international wetland, one of the most important wetlands in Iran. In this study, satellite images of MSS, TM, ETM +, and OLI were used during 1976-2017 to identify changes within the wetland. Also, the distribution of aquatic plants has been evaluated with NDVI index as an environmental indicator due to their key role on these aquatic ecosystems. After mapping the changes in wetland patterns over times, a cellular automata model (CA) was used to simulate changes up to the 2030s. The results of the time processing map data of the maps show the gradual decrease of the area (water body) of the wetland in the spring and more in the autumn season, which is more evident in recent years. However, the aquatic plants of the wetland in recent years has been. In general, three life periods for the Choghakhor wetland could be defined: natural period, developmental period and dehydration period. According to the CA model, the water body of the wetland shows a decreasing trend by 2030. On the other hand, aquatic plants growing in the wetland and its surroundings, which could be due to the high nutrient and organic load in future. Therefore, having an integrated strategy and program to improve the status of this unique ecosystem is necessary more than ever.
英文关键词	Choghakhor International Wetland Landsat imagery remote sensing water body Wetland dynamics Cellular Automata (CA)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000579818400009
WOS关键词	TIME-SERIES ; LAKE ; VEGETATION ; HABITAT ; BASIN ; GIS ; MAP
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326896
作者单位	[Reza, Pirali Zefrehei Ahmad; Aliakba, Hedayati; Rasoul, Ghorbani] Gorgan Univ Agr Sci & Nat Resources, Fac Fisheries & Environm Sci, POB 49189-43464, Gorgan, Golestan, Iran; [Saeid, Pourmanafi; Omid, Beyraghdar Kashkooli] Isfahan Univ Technol, Dept Nat Resources, POB 84156-83111, Esfahan, Iran
推荐引用方式 GB/T 7714	Reza, Pirali Zefrehei Ahmad,Aliakba, Hedayati,Saeid, Pourmanafi,et al. Detection and Prediction of Water Body and Aquatic Plants Cover Changes of Choghakhor International Wetland, Using Landsat Imagery and the Cellular Automata-Markov Model[J],2020,13(5):545-555.
APA	Reza, Pirali Zefrehei Ahmad,Aliakba, Hedayati,Saeid, Pourmanafi,Omid, Beyraghdar Kashkooli,&Rasoul, Ghorbani.(2020).Detection and Prediction of Water Body and Aquatic Plants Cover Changes of Choghakhor International Wetland, Using Landsat Imagery and the Cellular Automata-Markov Model.CONTEMPORARY PROBLEMS OF ECOLOGY,13(5),545-555.
MLA	Reza, Pirali Zefrehei Ahmad,et al."Detection and Prediction of Water Body and Aquatic Plants Cover Changes of Choghakhor International Wetland, Using Landsat Imagery and the Cellular Automata-Markov Model".CONTEMPORARY PROBLEMS OF ECOLOGY 13.5(2020):545-555.