干旱区生态环境知识资源中心(Arid): Advanced Method to Capture the Time-Lag Effects between Annual NDVI and Precipitation Variation Using RNN in the Arid and Semi-Arid Grasslands

Arid

DOI	10.3390/w11091789
	Advanced Method to Capture the Time-Lag Effects between Annual NDVI and Precipitation Variation Using RNN in the Arid and Semi-Arid Grasslands
	Wu, Taosuo 1,2,3; Feng, Feng 4; Lin, Qian 5; Bai, Hongmei 1
通讯作者	Feng, Feng
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:9
英文摘要	The latest research indicates that there are time-lag effects between the normalized difference vegetation index (NDVI) and the precipitation variation. It is well known that the time-lags are different from region to region, and there are time-lags for the NDVI itself correlated to the precipitation. In the arid and semi-arid grasslands, the annual NDVI has proved not only to be highly dependent on the precipitation of the concurrent year and previous years, but also the NDVI of previous years. This paper proposes a method using recurrent neural network (RNN) to capture both time-lags of the NDVI with respect to the NDVI itself, and of the NDVI with respect to precipitation. To quantitatively capture these time-lags, 16 years of the NDVI and precipitation data are used to construct the prediction model of the NDVI with respect to precipitation. This study focuses on the arid and semi-arid Hulunbuir grasslands dominated by perennials in northeast China. Using RNN, the time-lag effects are captured at a 1 year time-lag of precipitation and a 2 year time-lag of the NDVI. The successful capture of the time-lag effects provides significant value for the accurate prediction of vegetation variation for arid and semi-arid grasslands.
英文关键词	time-lag effects recurrent neural network NDVI precipitation
类型	Article
语种	英语
国家	Peoples R China ; Canada
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000488834400052
WOS关键词	RECURRENT NEURAL-NETWORKS ; RAINFALL ; RESPONSES ; CLIMATE ; FOREST
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219249
作者单位	1.Tianjin Univ, Sch Microelect, Tianjin 300072, Peoples R China; 2.Hulunbuir Coll, Sch Phys & Elect Informat, Hulunbuir 021008, Peoples R China; 3.Tianjin Univ, Tianjin Key Lab Imaging & Sensing Microelect Tech, Tianjin 300072, Peoples R China; 4.Carleton Univ, Dept Elect, Ottawa, ON K1S 5B6, Canada; 5.Qinghai Nationalities Univ, Coll Phys & Elect Informat Engineer, Xining 810000, Qinghai, Peoples R China
推荐引用方式 GB/T 7714	Wu, Taosuo,Feng, Feng,Lin, Qian,et al. Advanced Method to Capture the Time-Lag Effects between Annual NDVI and Precipitation Variation Using RNN in the Arid and Semi-Arid Grasslands[J],2019,11(9).
APA	Wu, Taosuo,Feng, Feng,Lin, Qian,&Bai, Hongmei.(2019).Advanced Method to Capture the Time-Lag Effects between Annual NDVI and Precipitation Variation Using RNN in the Arid and Semi-Arid Grasslands.WATER,11(9).
MLA	Wu, Taosuo,et al."Advanced Method to Capture the Time-Lag Effects between Annual NDVI and Precipitation Variation Using RNN in the Arid and Semi-Arid Grasslands".WATER 11.9(2019).