干旱区生态环境知识资源中心(Arid): Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage - a grassland case study performed in Ili prefecture, Xinjiang, China

Arid

DOI	10.1080/01431161.2018.1508918
	Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage - a grassland case study performed in Ili prefecture, Xinjiang, China
	Zhang, Wenbo 1; Yang, Xiuchun 1; Manlike, Asiya 2; Jin, Yunxiang 1; Zheng, Fengling 2; Guo, Jian 1; Shen, Ge 1; Zhang, Yujing 1; Xu, Bin 1,2
通讯作者	Xu, Bin
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:5-6 页码:2243-2258
英文摘要	Fractional vegetation coverage (FVC) is an important biophysical parameter of terrestrial ecosystems. Based on Gaofen satellite no. 1 (GF-1) wide field-of-view (WFV) data from the Ili area of Xinjiang measured during the 2014 peak grassland vegetation season (from July to early August), this study adopted the statistical modelling, partitioned sub-pixel modelling, linear spectral unmixing, and maximum three-band gradient difference methods to estimate the FVCs of grasslands in the aforementioned region. The accuracies of the four estimation methods were compared and the effect of grassland type on accuracy was analysed. Based on ground quadrat data, the accuracies of the four methods of estimating grassland FVC in Xinjiang, Ili, were 88.66%, 87.31%, 88.01%, and 75.21%, respectively. The statistical modelling method was the most accurate, while the maximum three-band gradient difference method was the least. Temperate meadow steppe estimates developed using statistical modelling were the most accurate at 94.36%. The average accuracy of the four methods was highest when estimating temperate desert (90.10%) and the lowest accuracy was achieved with alpine meadow, with an average accuracy of 77.27%. Statistical modelling provided the highest accuracy in estimating the grassland FVC when adequate ground quadrat data was available, while the partitioned sub-pixel model had some advantages in estimating the low vegetation coverage area represented by temperate desert, and its precision reached 92.57%. Although the overall estimation accuracy of the maximum three-band gradient difference method was low, it achieved higher accuracy in the alpine meadow area than the other methods, reaching 85.62%.
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000464043900039
WOS关键词	SOIL ; DYNAMICS ; INDEXES ; BASIN
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216511
作者单位	1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing, Peoples R China; 2.Xinjiang Acad Anim Sci, Grassland Res Inst, Urumqi, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Wenbo,Yang, Xiuchun,Manlike, Asiya,et al. Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage - a grassland case study performed in Ili prefecture, Xinjiang, China[J],2019,40(5-6):2243-2258.
APA	Zhang, Wenbo.,Yang, Xiuchun.,Manlike, Asiya.,Jin, Yunxiang.,Zheng, Fengling.,...&Xu, Bin.(2019).Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage - a grassland case study performed in Ili prefecture, Xinjiang, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),2243-2258.
MLA	Zhang, Wenbo,et al."Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage - a grassland case study performed in Ili prefecture, Xinjiang, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):2243-2258.