干旱区生态环境知识资源中心(Arid): An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 OLI Image

Arid

DOI	10.1109/ACCESS.2019.2962909
	An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 OLI Image
	Guo, Bing 1,3,4,5; Wen, Ye 2
通讯作者	Wen, Ye
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2020
卷号	8 页码:4761-4768
英文摘要	Current feature space models of desertification were almost linear, which ignored the complicated and non-linear relationships among variables for monitoring desertification. Fully considering the influencing factors of the desertification process in Naiman Banner, four sensitive indices including MSAVI, NDVI, TGSI, and Albedo have been selected to construct five feature spaces. Then, the precisions of different feature space models for monitoring desertification information (including non-linear and linear models) have been compared and analyzed. The non-linear Albedo-MSAVI feature space model for Naiman Banner has higher efficiency with the overall precision of 90.1%, while that of Albedo-TGSI had the worst precision with 0.69. Overall, the feature space model (non-linear) of Albedo-MSAVI has the highest applicability for monitoring the desertification information in Naiman Banner.
英文关键词	Albedo-MSAVI monitoring model feature space Landsat8 OLI Naiman Banner
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000535237300001
WOS关键词	QINGHAI-TIBET PLATEAU ; AEOLIAN DESERTIFICATION ; INDICATORS ; GRASSLAND ; DYNAMICS ; INDEXES
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/318821
作者单位	1.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Peoples R China; 2.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Peoples R China; 3.Key Lab Geomat & Digital Technol Shandong Prov, Qingdao 266590, Peoples R China; 4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China; 5.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
推荐引用方式 GB/T 7714	Guo, Bing,Wen, Ye. An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 OLI Image[J],2020,8:4761-4768.
APA	Guo, Bing,&Wen, Ye.(2020).An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 OLI Image.IEEE ACCESS,8,4761-4768.
MLA	Guo, Bing,et al."An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 OLI Image".IEEE ACCESS 8(2020):4761-4768.