干旱区生态环境知识资源中心(Arid): Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series-The TIMELINE NDVI Product

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DOI	10.3390/rs15143616
	Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series-The TIMELINE NDVI Product
	Eisfelder, Christina; Asam, Sarah; Hirner, Andreas; Reiners, Philipp; Holzwarth, Stefanie; Bachmann, Martin; Gessner, Ursula; Dietz, Andreas; Huth, Juliane; Bachofer, Felix; Kuenzer, Claudia
通讯作者	Eisfelder, C
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:14
英文摘要	Remote sensing multi-decadal time-series provide important information for analysing long-term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has been providing data since the early 1980s. Normalised Difference Vegetation Index (NDVI) time-series derived thereof can be used for monitoring vegetation conditions. This study presents the novel TIMELINE NDVI product, which provides a consistent set of daily, 10-day, and monthly NDVI composites at a 1 km spatial resolution based on AVHRR data for Europe and North Africa, currently spanning the period from 1981 to 2018. After investigating temporal and spatial data availability within the TIMELINE monthly NDVI composite product, seasonal NDVI trends have been derived thereof for the period 1989-2018 to assess long-term vegetation change in Europe and northern Africa. The trend analysis reveals distinct patterns with varying NDVI trends for spring, summer and autumn for different regions in Europe. Integrating the entire growing season, the result shows positive NDVI trends for large areas within Europe that confirm and reinforce previous research. The analyses show that the TIMELINE NDVI product allows long-term vegetation dynamics to be monitored at 1 km resolution on a pan-European scale and the detection of specific regional and seasonal patterns.
英文关键词	AVHRR Europe NDVI North Africa remote sensing seasonal trends TIMELINE time-series trend analysis vegetation
类型	Article
语种	英语
开放获取类型	gold, Green Accepted
收录类别	SCI-E
WOS记录号	WOS:001073727400001
WOS关键词	GLOBAL TRENDS ; LEAST-SQUARES ; AVHRR DATA ; MODIS ; PHENOLOGY ; DYNAMICS ; GIMMS ; DESERTIFICATION ; CONSISTENCY ; PARAMETERS
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398301
推荐引用方式 GB/T 7714	Eisfelder, Christina,Asam, Sarah,Hirner, Andreas,et al. Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series-The TIMELINE NDVI Product[J],2023,15(14).
APA	Eisfelder, Christina.,Asam, Sarah.,Hirner, Andreas.,Reiners, Philipp.,Holzwarth, Stefanie.,...&Kuenzer, Claudia.(2023).Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series-The TIMELINE NDVI Product.REMOTE SENSING,15(14).
MLA	Eisfelder, Christina,et al."Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series-The TIMELINE NDVI Product".REMOTE SENSING 15.14(2023).