干旱区生态环境知识资源中心(Arid): EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN)

Arid

DOI	10.26471/cjees/2020/015/123
	EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN)
	Firoozi, Fatemeh; Mahmoudi, Peyman; Jahanshahi, Seyed Mahdi Amir; Tavousi, Taghi; Liu, Yong
通讯作者	Mahmoudi, P
来源期刊	CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES
ISSN	1842-4090
EISSN	1844-489X
出版年	2020
卷号	15 期号:1 页码:211-222
英文摘要	As vegetation of any region can change over time due to various natural and human factors, the study of changes in the vegetation trend, especially in arid and semi-arid regions, has always been of great importance for the management of water and soil resources as well as vegetation. In this study, the NDVI products of Terra Satellite MODIS sensor (MOD13A3), with a spatial resolution of 1x1 km for a 15-year statistical period (2000-2014), were used to study the changes in the vegetation trend on a pixel-based scale during April, May and June in Sistan plain in eastern Iran. Four statistical methods, namely, simple moving average, simple exponential smoothing, double exponential ordering, and classical linear regression were used to detect long-term changes in the vegetation trend of this plain. The error rates of the models were then calculated using the three indicators of mean absolute deviation (MAD), mean square deviation (MSD) and mean absolute percentage deviation (MAPD). Analysis of these indicators showed that classical linear regression was the best model for detecting changes in the vegetation trend thanks to its lower error than others. Based on the selected statistical method, the most increasing and decreasing changes in the NDVI values were observed in the northeast, and the east and center of the plain, respectively. Finally, it was found that the use of trend analysis along with the classic linear regression method in a pixel-based scale could be a suitable method for revealing long-term vegetation changes in an arid and hyper arid climate.
英文关键词	NDVI MODIS Sensor Trend Analysis Sistan Plain Iran
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000565083400021
WOS关键词	LAND-COVER ; NDVI ; GIMMS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325970
作者单位	[Firoozi, Fatemeh; Tavousi, Taghi] Univ Tehran, Fac Geog, Dept Remote Sensing & Geog Informat Syst GIS, Tehran, Iran; [Mahmoudi, Peyman] Univ Sistan & Baluchestan, Fac Geog & Environm Planning, Dept Phys Geog, Zahedan, Iran; [Jahanshahi, Seyed Mahdi Amir] Univ Sistan & Baluchestan, Fac Math Stat & Comp Sci, Dept Stat, Zahedan, Iran; [Liu, Yong] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Firoozi, Fatemeh,Mahmoudi, Peyman,Jahanshahi, Seyed Mahdi Amir,et al. EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN)[J]. 兰州大学,2020,15(1):211-222.
APA	Firoozi, Fatemeh,Mahmoudi, Peyman,Jahanshahi, Seyed Mahdi Amir,Tavousi, Taghi,&Liu, Yong.(2020).EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN).CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES,15(1),211-222.
MLA	Firoozi, Fatemeh,et al."EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN)".CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES 15.1(2020):211-222.