干旱区生态环境知识资源中心(Arid): Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite

Arid

DOI	10.1515/geo-2020-0241
	Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite
	Deng, Zhengdong; Lu, Zhao; Wang, Guangyuan; Wang, Daqing; Ding, Zhibin; Zhao, Hongfei; Xu, Haoli; Shi, Yue; Cheng, Zijian; Zhao, Xiaoning
通讯作者	Lu, Z ; Wang, GY (corresponding author), Army Engn Univ, Def Engn Coll, Nanjing 210007, Peoples R China.
来源期刊	OPEN GEOSCIENCES
ISSN	2391-5447
出版年	2021
卷号	13 期号:1 页码:416-430
英文摘要	The red edge band is considered as one of the diagnosable characteristics of green plants, but the large-scale remote sensing retrieval of fractional vegetation coverage (FVC) based on the red edge band is still rare. To explore the application of the red edge band in the remote sensing estimation of FVC, this study proposed a new vegetation index (normalized difference red edge index, RENDVI) based on the two red edge bands of Chinese GaoFen-6 satellite (GF-6). The FVC estimated by using three vegetation indices ( NDVI, RENDVI1, and RENDVI2) were evaluated based on the field survey FVC obtained in Minqin Basin of Gansu Province. The results showed that there was a good linear correlation between the FVC estimated by GF-6 WFV data and the FVC investigated in the field, and the most reasonable estimation of FVC was obtained based on RENDVI2 model (R-2 = 0.97611 and RMSE = 0.07075). Meanwhile, the impact of three confidence levels (1, 2, and 5%) on FVC was also analyzed in this study. FVC obtained from NDVI and RENDVI2 has the highest accuracy at 2% confidence, while FVC based on RENDVI1 achieved the best accuracy at 5% confidence. It could be concluded that it is feasible and reliable to estimate FVC based on red edge bands, and the GF-6 Wide Field View (WFV) data with high temporal and spatial resolution provide a new data source for remote sensing estimation of FVC.
英文关键词	vegetation index pixel dichotomy model fractional vegetation cover red edge band
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000639027300001
WOS关键词	RED ; INDEXES ; DYNAMICS ; IMPACTS ; BIOMASS ; BASIN
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351239
作者单位	[Deng, Zhengdong; Lu, Zhao; Wang, Guangyuan; Wang, Daqing; Ding, Zhibin; Xu, Haoli; Shi, Yue; Cheng, Zijian; Zhao, Xiaoning] Army Engn Univ, Def Engn Coll, Nanjing 210007, Peoples R China; [Zhao, Hongfei] Postdoctoral Workstn Jinling Hosp, Nanjing 210016, Peoples R China
推荐引用方式 GB/T 7714	Deng, Zhengdong,Lu, Zhao,Wang, Guangyuan,et al. Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite[J],2021,13(1):416-430.
APA	Deng, Zhengdong.,Lu, Zhao.,Wang, Guangyuan.,Wang, Daqing.,Ding, Zhibin.,...&Zhao, Xiaoning.(2021).Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite.OPEN GEOSCIENCES,13(1),416-430.
MLA	Deng, Zhengdong,et al."Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite".OPEN GEOSCIENCES 13.1(2021):416-430.