干旱区生态环境知识资源中心(Arid): Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data

Arid

DOI	10.1080/01431161.2020.1811915
	Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data
	Li, Yuzhen; Li, Longhui; Dong, Jiaqi; Bai, Jie
通讯作者	Li, LH
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2021
卷号	42 期号:2 页码:595-616
英文摘要	Gross primary productivity (GPP) and evapotranspiration (ET) are two important fluxes between the terrestrial ecosystems and the atmosphere. Remote sensing data-driven models have been successfully used to estimate carbon and water fluxes in various ecosystems, but the models are still underperforming in dryland. In this study, the agreement between the Moderate Resolution Imaging Spectroradiometer (MODIS) products, MODIS data-driven models, and the eddy covariance (EC) tower observation data were tested for two different ecosystem sites in arid regions in Xinjiang, China. The results convincingly indicated that the MODIS products can successfully capture the temporal GPP and ET variables for grasslands and shrublands, but these results have large biases. The MODIS GPP products certified contributed 88% of the EC observed GPP for the grassland but 16% for the shrubland. The temperature and greenness (TG) model clearly showed favourable correspondence with tower GPP observed in arid regions, with the coefficient of determination (R (2)) of 0.91 and root mean square error (RMSE) of 17.65 g C m(-2) 16 days(-1). The ET performance was evaluated at two sites, yielding R (2) values of 0.77 and 0.34 for the grassland and shrubland, respectively. Our study showed that the source of uncertainties comes from the remotely sensed data input in GPP and ET algorithms.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000590387900001
WOS关键词	GROSS PRIMARY PRODUCTION ; LIGHT-USE EFFICIENCY ; ENHANCED VEGETATION INDEX ; NET ECOSYSTEM EXCHANGE ; COMMON LAND MODEL ; PRIMARY PRODUCTIVITY ; PARAMETER OPTIMIZATION ; GLOBAL EVAPOTRANSPIRATION ; TERRESTRIAL GROSS ; ALPINE MEADOW
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	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/2XILL650/328001
作者单位	[Li, Yuzhen; Dong, Jiaqi; Bai, Jie] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China; [Li, Yuzhen; Dong, Jiaqi] Univ Chinese Acad Sci, Beijing, Peoples R China; [Li, Longhui] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China; [Li, Longhui] State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Peoples R China
推荐引用方式 GB/T 7714	Li, Yuzhen,Li, Longhui,Dong, Jiaqi,et al. Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data[J]. 中国科学院新疆生态与地理研究所,2021,42(2):595-616.
APA	Li, Yuzhen,Li, Longhui,Dong, Jiaqi,&Bai, Jie.(2021).Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data.INTERNATIONAL JOURNAL OF REMOTE SENSING,42(2),595-616.
MLA	Li, Yuzhen,et al."Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data".INTERNATIONAL JOURNAL OF REMOTE SENSING 42.2(2021):595-616.