Wenzl, Martina and Baumhoer, Celia and Dietz, Andreas and Kuenzer, Claudia (2024) Vegetation Changes in the Arctic: A Review of Earth Observation Applications. Remote Sensing, 16 (23), pp. 1-38. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs16234509. ISSN 2072-4292.
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Official URL: https://www.mdpi.com/2072-4292/16/23/4509
Abstract
The Arctic, characterised by severe climatic conditions and sparse vegetation, is experiencing rapid warming, with temperatures increasing up to four times the global rate since 1979. Extensive impacts from these changes have far-reaching consequences for the global climate and energy balance. Satellite remote sensing is a valuable tool for monitoring Arctic vegetation dynamics, particularly in regions with limited ground observations. To investigate the ongoing impact of climate change on Arctic and subarctic vegetation dynamics, a review of \162 studies published between 2000 and \November 2024 was conducted. This review analyses the research objectives, spatial distribution of study areas, methods and the temporal and spatial resolution of utilised satellite data. The key findings reveal circumpolar tendencies, including Arctic greening, lichen decline, shrub increase, and positive primary productivity trends. These changes impact the carbon balance in the tundra and affect specialised fauna and local communities. The large majority of studies conducted their analysis based on multispectral data, primarily using AVHRR, MODIS, and Landsat sensors. Although the warming of the Arctic is linked to greening trends, increased productivity and shrub expansion, the diverse and localised ecological shifts are influenced by a multitude of complex factors. Furthermore, these changes can be challenging to observe due to difficult cloud cover and illumination conditions when acquiring optical satellite data. Additionally, the difficulty in validating these changes is compounded by the scarcity of in situ data. The fusion of satellite data with different spatial-temporal characteristics and sensor types, combined with methodological advancements, may help mitigate data gaps. This may be particularly crucial when assessing the Arctic's potential role as a future carbon source or sink.
| Item URL in elib: | https://elib.dlr.de/209938/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Vegetation Changes in the Arctic: A Review of Earth Observation Applications | ||||||||||||||||||||
| Authors: |
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| Date: | 1 December 2024 | ||||||||||||||||||||
| Journal or Publication Title: | Remote Sensing | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| Volume: | 16 | ||||||||||||||||||||
| DOI: | 10.3390/rs16234509 | ||||||||||||||||||||
| Page Range: | pp. 1-38 | ||||||||||||||||||||
| Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
| Series Name: | Remote Sensing | ||||||||||||||||||||
| ISSN: | 2072-4292 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Arctic; tundra; vegetation; greening; satellite; remote sensing; EO; climate change; review; | ||||||||||||||||||||
| 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 - Project Polar Monitor II | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||||||||||||||
| Deposited By: | Wenzl, Martina | ||||||||||||||||||||
| Deposited On: | 09 Dec 2024 11:36 | ||||||||||||||||||||
| Last Modified: | 08 May 2025 08:59 |
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