干旱区生态环境知识资源中心(Arid): Desertification detection model in Naiman Banner based on the albedo-modified soil adjusted vegetation index feature space using the Landsat8 OLI images

Arid

DOI	10.1080/19475705.2020.1734100
	Desertification detection model in Naiman Banner based on the albedo-modified soil adjusted vegetation index feature space using the Landsat8 OLI images
	Wen, Ye 1; Guo, Bing 2,3,4,5,7; Zang, Wenqian 6; Ge, Dazhuan 8; Luo, Wei 9; Zhao, Huihui 6
通讯作者	Guo, Bing
来源期刊	GEOMATICS NATURAL HAZARDS & RISK
ISSN	1947-5705
EISSN	1947-5713
出版年	2020
卷号	11 期号:1 页码:544-558
英文摘要	The current desertification feature space models are almost linear and ignore the complicated and nonlinear relations that exist among variables when monitoring desertification. Herein, point-to-point and point-to-line models have been proposed by completely considering the nonlinear relations between the Albedo-Modified Soil Adjusted Vegetation Index (MSAVI) and the effects of soil background. Further, the applicability of these models for monitoring different levels of desertification information was compared and analyzed. The point-to-line feature space model exhibited a larger inversion accuracy (93.8%) for Naiman Banner with respect to albedo-MSAVI when compared with that exhibited by the point-to-point model (88.9%). In addition, the monitoring accuracy is observed to slightly differ for different levels of desertification, and slight and mild desertification exhibit the best inversion accuracy in case of both point-to-point and point-to-line models. Furthermore, the point-to-line model exhibits better applicability in case of intensive (92.7%) and severe (93.3%) desertification when compared with those exhibited by the point-to-point model (87.5% and 88.9%, respectively). The results obtained in this study can provide improved data and decision support for preventing and managing land degradation.
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:000540494600001
WOS关键词	SALINIZATION INFORMATION ; CLIMATE-CHANGE ; COMBINATIONS ; PLATEAU ; AREAS
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/318823
作者单位	1.Shenyang Agr Univ, Coll Land & Environm, Shenyang, Peoples R China; 2.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Peoples R China; 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China; 4.Key Lab Geomat, Digital Technol Shandong Prov, Qingdao, Peoples R China; 5.Geomat Technol & Applicat Key Lab Qinghai Prov, Xining, Peoples R China; 6.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China; 7.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China; 8.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China; 9.North China Inst Aerosp Engn, Langfang, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Wen, Ye,Guo, Bing,Zang, Wenqian,et al. Desertification detection model in Naiman Banner based on the albedo-modified soil adjusted vegetation index feature space using the Landsat8 OLI images[J],2020,11(1):544-558.
APA	Wen, Ye,Guo, Bing,Zang, Wenqian,Ge, Dazhuan,Luo, Wei,&Zhao, Huihui.(2020).Desertification detection model in Naiman Banner based on the albedo-modified soil adjusted vegetation index feature space using the Landsat8 OLI images.GEOMATICS NATURAL HAZARDS & RISK,11(1),544-558.
MLA	Wen, Ye,et al."Desertification detection model in Naiman Banner based on the albedo-modified soil adjusted vegetation index feature space using the Landsat8 OLI images".GEOMATICS NATURAL HAZARDS & RISK 11.1(2020):544-558.