气候变化领域集成服务门户(CCPortal): Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000-2015

CCPortal

DOI	10.1016/j.rse.2021.112821
	Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000-2015
	Liu, Yongchang; Li, Zhi; Chen, Yaning; Li, Yupeng; Li, Hongwei; Xia, Qianqian; Kayumba, Patient Mindje
发表日期	2022
ISSN	0034-4257
EISSN	1879-0704
卷号	269
英文摘要	The current study evaluates consistency among three Normalized Difference Vegetation Index (NDVI) datasets, namely GIMMS, MODIS and SPOT, to characterize alpine vegetation dynamics (greening and browning) across High Mountain Asia (HMA) in 2001-2015. The utility of these datasets is explored to evaluate the vegetation's variability at different spatial-temporal scales and, elevation, and to compare their spatial trends and distribution patterns. In addition to the Pearson correlation coefficients performed to quantitatively analyze the consistency and inconsistency of each dataset, an NDVI quality control (QC) layer and Landsat NDVI are also used to evaluate the findings. The results indicate that the GIMMS has the highest NDVI mean, while SPOT has the lowest. However, GIMMS also showed a browning trend for both Tianshan (TS) and the Qinghai Tibet Plateau (TP) at a rate of -0.3 x 10(-3) per year, whereas MODIS and SPOT exhibit a greening trend (TSMODIS = 0.5 x 10(-3) per year, TSSPOT = 0.6 x 10(-3) per year, TPMODIS = 0.9 x 10(-3) per year, TPSPOT = 1.6 x 10(-3) per year). Furthermore, MODIS-SPOT shows the highest correlation (R-GREEN = 0.73; R-BROWN = 0.47), followed by MODIS-GIMMS, and GIMMS-SPOT. The overall, NDVI trend consistency appears to be higher in TS. Finally, the consistent greening pixels mainly distributed in central TP stretching to the northeastern part, and in western stretching to eastern TS, account for 32.14%, while 8.32% of consistent browning pixels are concentrated in southwestern TP and central TS. The inconsistent pixels account for 59.54%, with 39.21% of inconsistent greening pixels being widely distributed across HMA, and 20.58% of inconsistent browning pixels being relatively pronounced in central TS and southern TP. This study provides baseline inferences for the selection and reconstruction of data in follow-up studies on vegetation dynamics.
英文关键词	Climate change; Elevational variation; Satellite NDVI; Vegetation dynamics
语种	英语
WOS研究方向	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000759730000001
来源期刊	REMOTE SENSING OF ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280766
作者单位	Chinese Academy of Sciences; Xinjiang Institute of Ecology & Geography, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Yili Normal University
推荐引用方式 GB/T 7714	Liu, Yongchang,Li, Zhi,Chen, Yaning,et al. Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000-2015[J],2022,269.
APA	Liu, Yongchang.,Li, Zhi.,Chen, Yaning.,Li, Yupeng.,Li, Hongwei.,...&Kayumba, Patient Mindje.(2022).Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000-2015.REMOTE SENSING OF ENVIRONMENT,269.
MLA	Liu, Yongchang,et al."Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000-2015".REMOTE SENSING OF ENVIRONMENT 269(2022).