干旱区生态环境知识资源中心(Arid): Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region

Arid

DOI	10.1038/s41598-019-49730-9
	Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region
	Qi, Xiangkun 1,2; Zhang, Chunhua 3; Wang, Kelin 1,2
通讯作者	Wang, Kelin
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2019
卷号	9
英文摘要	Rugged karst terrain relief that creates shadows in satellite imagery, combined with high karst landscape heterogeneity stand in the way of fractional cover retrieval on karst rocky desertification (KRD) monitoring. In this study, we explored the feasibility of applying multispectral high spatial resolution Advanced Land Observing Satellite (ALOS) imagery for the fractional cover extraction of rocky outcrops. Dimidiate pixel model (DPM) and spectral mixture analysis (SMA) approaches (including simple endmember spectral mixture analysis and multiple endmember spectral mixture analysis) were selected to explore their feasibility for KRD monitoring through accuracy improvement for fraction estimation. Results showed fractional cover retrievals at the sub-pixel scale is essential in highly heterogeneous karst landscapes. Indeed, mixed pixels accounted for 93.7% of the study area in southwest China. Multiple endmember spectral mixture analysis achieved high overall accuracy (80.5%) in monitoring the percentage of rocky outcrop land cover. Furthermore, the predicted exposed bedrock coverage via spectral mixture analysis were similar in sunlit and shadow areas for the same surface types. This reflected that SMA methods could effectively reduce topographic effects of satellite imagery to improve the accuracy of fractional cover extraction at sub-pixel level in heterogeneous and rugged landscapes.
类型	Article
语种	英语
国家	Peoples R China ; Canada
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000485861700022
WOS关键词	SPECTRAL MIXTURE ANALYSIS ; FOREST SUCCESSIONAL STAGE ; GREEN VEGETATION ; SOUTHWEST CHINA ; LANDSAT IMAGES ; COVER ; AREAS ; FRACTION ; PATTERN ; URBAN
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218807
作者单位	1.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China; 2.Chinese Acad Sci, Huanjiang Observat & Res Stn Karst Ecosyst, Huanjiang 547100, Hechi, Peoples R China; 3.Algoma Univ, Dept Geog & Geol, Sault Ste Marie, ON P6A 2G4, Canada
推荐引用方式 GB/T 7714	Qi, Xiangkun,Zhang, Chunhua,Wang, Kelin. Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region[J],2019,9.
APA	Qi, Xiangkun,Zhang, Chunhua,&Wang, Kelin.(2019).Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region.SCIENTIFIC REPORTS,9.
MLA	Qi, Xiangkun,et al."Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region".SCIENTIFIC REPORTS 9(2019).