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Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product

Eisfelder, Christina and Asam, Sarah and Hirner, Andreas and Reiners, Philipp and Holzwarth, Stefanie and Bachmann, Martin and Gessner, Ursula and Dietz, Andreas and Huth, Juliane and Bachofer, Felix and Künzer, 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), pp. 1-27. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15143616. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/15/14/3616


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) timeseries 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.

Item URL in elib:https://elib.dlr.de/196142/
Document Type:Article
Title:Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Eisfelder, ChristinaUNSPECIFIEDhttps://orcid.org/0000-0002-6790-6953UNSPECIFIED
Asam, SarahUNSPECIFIEDhttps://orcid.org/0000-0002-7302-6813UNSPECIFIED
Hirner, AndreasUNSPECIFIEDhttps://orcid.org/0009-0007-5473-9424UNSPECIFIED
Reiners, PhilippUNSPECIFIEDhttps://orcid.org/0000-0002-4277-9089UNSPECIFIED
Holzwarth, StefanieUNSPECIFIEDhttps://orcid.org/0000-0001-7364-7006UNSPECIFIED
Bachmann, MartinUNSPECIFIEDhttps://orcid.org/0000-0001-8381-7662139591287
Dietz, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-5733-7136UNSPECIFIED
Huth, JulianeUNSPECIFIEDhttps://orcid.org/0000-0002-1453-6629UNSPECIFIED
Bachofer, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-6181-0187UNSPECIFIED
Date:20 July 2023
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-27
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:AVHRR; Europe; NDVI; North Africa; remote sensing; seasonal trends; TIMELINE; time-series; trend analysis; vegetation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoproducts and systems, services
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Eisfelder, Christina
Deposited On:31 Jul 2023 11:44
Last Modified:31 Jul 2023 11:44

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