干旱区生态环境知识资源中心(Arid): Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data

Arid

DOI	10.3390/rs13081458
	Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data
	Guo, Zengkun; Kurban, Alishir; Ablekim, Abdimijit; Wu, Shupu; Van de Voorde, Tim; Azadi, Hossein; Maeyer, Philippe De; Dufatanye Umwali, Edovia
通讯作者	Kurban, A (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China. ; Kurban, A (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. ; Kurban, A (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China. ; Kurban, A (corresponding author), Xinjiang Inst Ecol & Geog, Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:8
英文摘要	Estimating the fractional coverage of the photosynthetic vegetation (f(PV)) and non-photosynthetic vegetation (f(NPV)) is essential for assessing the growth conditions of vegetation growth in arid areas and for monitoring environmental changes and desertification. The aim of this study was to estimate the f(PV), f(NPV) and the fractional coverage of the bare soil (f(BS)) in the lower reaches of Tarim River quantitatively. The study acquired field data during September 2020 for obtaining the f(PV), f(NPV) and f(BS). Firstly, six photosynthetic vegetation indices (PVIs) and six non-photosynthetic vegetation indices (NPVIs) were calculated from Sentinel-2A image data. The PVIs include normalized difference vegetation index (NDVI), ratio vegetation index (RVI), soil adjusted vegetation index (SAVI), modified soil adjusted vegetation index (MSAVI), reduced simple ratio index (RSR) and global environment monitoring index (GEMI). Meanwhile, normalized difference index (NDI), normalized difference tillage index (NDTI), normalized difference senescent vegetation index (NDSVI), soil tillage index (STI), shortwave infrared ratio (SWIR32) and dead fuel index (DFI) constitutes the NPVIs. We then established linear regression model of different PVIs and f(PV), and NPVIs and f(NPV), respectively. Finally, we applied the GEMI-DFI model to analyze the spatial and seasonal variation of f(PV) and f(NPV) in the study area in 2020. The results showed that the GEMI and f(PV) revealed the best correlation coefficient (R-2) of 0.59, while DFI and f(NPV) had the best correlation of R-2 = 0.45. The accuracy of f(PV), f(NPV) and f(BS) based on the determined PVIs and NPVIs as calculated by GEMI-DFI model are 0.69, 0.58 and 0.43, respectively. The f(PV) and f(NPV) are consistent with the vegetation phonological development characteristics in the study area. The study concluded that the application of the GEMI-DFI model in the f(PV) and f(NPV) estimation was sufficiently significant for monitoring the spatial and seasonal variation of vegetation and its ecological functions in arid areas.
英文关键词	photosynthetic vegetation non-photosynthetic vegetation GEMI-DFI model seasonal variation
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000644682000001
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351511
作者单位	[Guo, Zengkun; Kurban, Alishir; Ablekim, Abdimijit; Wu, Shupu; Azadi, Hossein; Maeyer, Philippe De; Dufatanye Umwali, Edovia] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; [Guo, Zengkun; Kurban, Alishir; Ablekim, Abdimijit; Wu, Shupu; Dufatanye Umwali, Edovia] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Kurban, Alishir] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Kurban, Alishir] Xinjiang Inst Ecol & Geog, Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China; [Van de Voorde, Tim; Azadi, Hossein; Maeyer, Philippe De] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium; [Van de Voorde, Tim; Maeyer, Philippe De] Univ Ghent, Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium; [Azadi, Hossein] Czech Univ Life Sci Prague, Fac Environm Sci, Prague 16500, Czech Republic
推荐引用方式 GB/T 7714	Guo, Zengkun,Kurban, Alishir,Ablekim, Abdimijit,et al. Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data[J]. 中国科学院新疆生态与地理研究所,2021,13(8).
APA	Guo, Zengkun.,Kurban, Alishir.,Ablekim, Abdimijit.,Wu, Shupu.,Van de Voorde, Tim.,...&Dufatanye Umwali, Edovia.(2021).Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data.REMOTE SENSING,13(8).
MLA	Guo, Zengkun,et al."Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data".REMOTE SENSING 13.8(2021).