Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard
The Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spits...
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MDPI AG
2021-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/15/3031 |
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| author | Stein Rune Karlsen Laura Stendardi Hans Tømmervik Lennart Nilsen Ingar Arntzen Elisabeth J. Cooper |
| author_facet | Stein Rune Karlsen Laura Stendardi Hans Tømmervik Lennart Nilsen Ingar Arntzen Elisabeth J. Cooper |
| author_sort | Stein Rune Karlsen |
| collection | DOAJ |
| description | The Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spitsbergen, Svalbard, located between 77.28°N and 78.44°N. The goals of this study were: (1) to prepare, analyze and present a cloud-free time-series of daily Sentinel-2 NDVI datasets for the 2016 to 2019 seasons, and (2) to demonstrate the use of the dataset in mapping the onset of growth. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud-free Sentinel-2 data were used. The onset of growth was then mapped by a NDVI threshold method, which showed significant correlation (r<sup>2</sup> = 0.47, <i>n</i> = 38, <i>p</i> < 0.0001) with ground-based phenocam observation of the onset of growth in seven vegetation types. However, large bias was found between the Sentinel-2 NDVI-based mapped onset of growth and the phenocam-based onset of growth in a moss tundra, which indicates that the data in these vegetation types must be interpreted with care. In 2018, the onset of growth was about 10 days earlier compared to 2017. |
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| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:09:24Z |
| publishDate | 2021-08-01 |
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| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-afca92d5bf9049ba98699c6c5c52c8c02023-11-22T06:07:53ZengMDPI AGRemote Sensing2072-42922021-08-011315303110.3390/rs13153031Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, SvalbardStein Rune Karlsen0Laura Stendardi1Hans Tømmervik2Lennart Nilsen3Ingar Arntzen4Elisabeth J. Cooper5NORCE Norwegian Research Centre AS, P.O. Box 6434, 9294 Tromsø, NorwayDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale delle Cascine, 18-50144 Firenze, ItalyNorwegian Institute for Nature Research (NINA), FRAM—High North Research Centre for Climate and the Environment, P.O. Box 6606, Langnes, 9296 Tromsø, NorwayDepartment of Arctic and Marine Biology, UiT—The Arctic University of Norway, 9037 Tromsø, NorwayNORCE Norwegian Research Centre AS, P.O. Box 6434, 9294 Tromsø, NorwayDepartment of Arctic and Marine Biology, UiT—The Arctic University of Norway, 9037 Tromsø, NorwayThe Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spitsbergen, Svalbard, located between 77.28°N and 78.44°N. The goals of this study were: (1) to prepare, analyze and present a cloud-free time-series of daily Sentinel-2 NDVI datasets for the 2016 to 2019 seasons, and (2) to demonstrate the use of the dataset in mapping the onset of growth. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud-free Sentinel-2 data were used. The onset of growth was then mapped by a NDVI threshold method, which showed significant correlation (r<sup>2</sup> = 0.47, <i>n</i> = 38, <i>p</i> < 0.0001) with ground-based phenocam observation of the onset of growth in seven vegetation types. However, large bias was found between the Sentinel-2 NDVI-based mapped onset of growth and the phenocam-based onset of growth in a moss tundra, which indicates that the data in these vegetation types must be interpreted with care. In 2018, the onset of growth was about 10 days earlier compared to 2017.https://www.mdpi.com/2072-4292/13/15/3031Sentinel-2NDVItime-seriesonset of growthSvalbard |
| spellingShingle | Stein Rune Karlsen Laura Stendardi Hans Tømmervik Lennart Nilsen Ingar Arntzen Elisabeth J. Cooper Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard Remote Sensing Sentinel-2 NDVI time-series onset of growth Svalbard |
| title | Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard |
| title_full | Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard |
| title_fullStr | Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard |
| title_full_unstemmed | Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard |
| title_short | Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard |
| title_sort | time series of cloud free sentinel 2 ndvi data used in mapping the onset of growth of central spitsbergen svalbard |
| topic | Sentinel-2 NDVI time-series onset of growth Svalbard |
| url | https://www.mdpi.com/2072-4292/13/15/3031 |
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