干旱区生态环境知识资源中心(Arid): A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT

Arid

DOI	10.1002/ldr.4088
	A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI
	Guo, Bing; Zhang, Dafu; Lu, Yuefeng; Yang, Fei; Meng, Chao; Han, Baomin; Zang, Wenqian; Zhao, Huihui; Wei, Cuixia; Wu, Hongwei; Hou, Chunhong
通讯作者	Zhang, DF ; Lu, YF (corresponding author), Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Shandong, Peoples R China.
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2021
英文摘要	Previous studies monitoring the spatial distribution of rocky desertification have used single indices, a comprehensive index, or image classification. However, these approaches could not distinguish between the degrees of rocky desertification as they did not consider various influencing factors and their interactions. To avoid the above shortcomings, this study used the feature space model and seven typical land surface parameters to establish two categories of rocky desertification model: (1) a point-to-point model; and (2) a point-to-line model. A novel model for the optimal monitoring of rocky desertification was then proposed, which could take the comprehensive impacts of the human-nature system on the process of rocky desertification. The results showed that: (1) the feature space models provided a novel approach to large-scale monitoring of rocky desertification; (2) the point-to-line model incorporating the rock bare index (RBI)-dryness index feature space showed the optimal applicability for monitoring of rocky desertification, with a precision of 93.4%; and (3) the RBI performed the best in indicating the process of rocky desertification, with an average precision of 88.5%. The results of this study can act as a reference within the investigation of the spatiotemporal evolution of rocky desertification for karst mountain areas.
英文关键词	dryness index feature space LANDSAT-8 OLI rock bare index rocky desertification
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000697909200001
WOS关键词	KARST ; EVOLUTION ; CHINA ; INFORMATION ; MOUNTAIN
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364105
作者单位	[Guo, Bing; Zhang, Dafu; Lu, Yuefeng; Han, Baomin; Wei, Cuixia; Wu, Hongwei; Hou, Chunhong] Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Shandong, Peoples R China; [Guo, Bing; Lu, Yuefeng; Yang, Fei] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; [Guo, Bing] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China; [Guo, Bing] Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan, Peoples R China; [Guo, Bing] Minist Nat Resources, Key Lab Land Use, China Land Survey & Planning Inst, Beijing, Peoples R China; [Guo, Bing; Meng, Chao] Inst Meteorol Sci, Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang, Hebei, Peoples R China; [Guo, Bing; Zang, Wenqian; Zhao, Huihui] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China; [Guo, Bing] Chinese Acad Sci, Key Lab Digital Earth Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Guo, Bing,Zhang, Dafu,Lu, Yuefeng,et al. A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI[J]. 中国科学院地理科学与资源研究所,2021.
APA	Guo, Bing.,Zhang, Dafu.,Lu, Yuefeng.,Yang, Fei.,Meng, Chao.,...&Hou, Chunhong.(2021).A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI.LAND DEGRADATION & DEVELOPMENT.
MLA	Guo, Bing,et al."A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI".LAND DEGRADATION & DEVELOPMENT (2021).