干旱区生态环境知识资源中心(Arid): Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification

Arid

DOI	10.1016/j.ejrs.2015.09.002
	Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification
	Ghebrezgabher, Mihretab G.; Yang, Taibao; Yang, Xuemei; Wang, Xin; Khan, Masihulla
通讯作者	Yang, TB
来源期刊	EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
ISSN	1110-9823
EISSN	2090-2476
出版年	2016
卷号	19 期号:1 页码:37-47
英文摘要	Remote sensing images are suitable for quantifying and analyzing land-cover dynamics, particularly for forest-cover change. In this study, the methodology used the supervised classification technique to classify and analyze the total forest-cover change in Eritrea. The results indicated that the forest and woodland cover extracted with high overall accuracy and kappa coefficient of approximately 96% and 0.94, respectively. Generally, the forest cover declined from 2966 km(2) to 1401 km(2) from the 1970s to 2014, and the woodland forest cover was reduced from 14,879 km(2) to 13,677 km(2) in the same period. The annual rate of deforestation was very high, with approximately 0.35% 962 km(2)) of the total forest cover lost each year for the last 44 years. The study concluded that deforestation is one of the leading causes of environmental degradation in the country and it might be caused by human factors as well as due to climate change, i.e., by prolonged drought and inadequate and erratic rainfall. Thus, this paper may significantly help decision makers and researchers who are interested in remote sensing for forest management and monitoring, and for controlling and planning development at local, regional, and global [scales]. (C) 2015 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.
英文关键词	Eritrea Forest and woodland Remote sensing Change detection
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000377624800005
WOS关键词	WATER INDEX NDWI ; NILE DELTA ; DISTRICT ; RISK ; AREA ; GIS ; DESERTIFICATION ; UTTARAKHAND ; NORTH
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
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/2XILL650/331547
作者单位	[Ghebrezgabher, Mihretab G.; Yang, Taibao; Wang, Xin] Lanzhou Univ, Coll Earth & Environm Sci, Inst Glaciol & Ecogeog, Lanzhou 730000, Peoples R China; [Ghebrezgabher, Mihretab G.; Khan, Masihulla] Coll Educ, Eritrea Inst Technol, Mai Nefhi 12676, Eritrea; [Yang, Xuemei] Gansu Desert Control Res Inst, Lanzhou 730070, Peoples R China
推荐引用方式 GB/T 7714	Ghebrezgabher, Mihretab G.,Yang, Taibao,Yang, Xuemei,et al. Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification[J]. 兰州大学,2016,19(1):37-47.
APA	Ghebrezgabher, Mihretab G.,Yang, Taibao,Yang, Xuemei,Wang, Xin,&Khan, Masihulla.(2016).Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification.EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES,19(1),37-47.
MLA	Ghebrezgabher, Mihretab G.,et al."Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification".EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES 19.1(2016):37-47.