A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China

doi:10.1007/s11629-018-4982-6

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2019 > Vol16 No.9

	A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China
	Chen Tian-tian; Yi Gui-hua; Zhang Ting-bin; Wang Qiang; Bie Xiao-juan
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2019
卷号	16 期号:9 页码:2001-2014
关键词	Vegetation phenology Normalized difference vegetation index (NDVI) Start of the growth season (SOG) End of the growth season (EOG) Three-River Headwaters Region (TRHR)
ISSN号	1672-6316
DOI	10.1007/s11629-018-4982-6
文献子类	Article
英文摘要	Accurate measurements of the associated vegetation phenological dynamics are crucial for understanding the relationship between climate change and terrestrial ecosystems. However, at present, most vegetation phenological calculations are based on a single algorithm or method. Because of the spatial, temporal, and ecological complexity of the vegetation growth processes, a single algorithm or method for monitoring all these processes has been indicated to be elusive. Therefore, in this study, from the perspective of plant growth characteristics, we established a method to remotely determine the start of the growth season (SOG) and the end of the growth season (EOG), in which the maximum relative change rate of the normalized difference vegetation index (NDVI) corresponds to the SOG, and the next minimum absolute change rate of the NDVI corresponds to the EOG. Taking the Three-River Headwaters Region in 2000-2013 as an example, we ascertained the spatiotemporal and vertical characteristics of its vegetation phenological changes. Then, in contrast to the actual air temperature data, observed data and other related studies, we found that the SOG and EOG calculated by the proposed method is closer to the time corresponding to the air temperature, and the trends of the SOG and EOG calculated by the proposed method are in good agreement with other relevant studies. Meantime, the error of the SOG between the calculated and observed in this study is smaller than that in other studies.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000485301000002
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46568]
专题	Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.9
推荐引用方式 GB/T 7714	Chen Tian-tian,Yi Gui-hua,Zhang Ting-bin,et al. A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(9):2001-2014.
APA	Chen Tian-tian,Yi Gui-hua,Zhang Ting-bin,Wang Qiang,&Bie Xiao-juan.(2019).A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China.JOURNAL OF MOUNTAIN SCIENCE,16(9),2001-2014.
MLA	Chen Tian-tian,et al."A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China".JOURNAL OF MOUNTAIN SCIENCE 16.9(2019):2001-2014.