Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland
So far, neither a grassland map, temporal analysis of the conversion of permanent grassland (PG) to other land uses nor the differentiation of permanent and temporal grassland exists for Switzerland. For the first time in Switzerland, we present a Swiss national grassland map for the year 2015 captu...
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| Format: | Article |
| Language: | English |
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Elsevier
2018-10-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234091831117X |
| _version_ | 1818856442179878912 |
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| author | Simon Schmidt Christine Alewell Katrin Meusburger |
| author_facet | Simon Schmidt Christine Alewell Katrin Meusburger |
| author_sort | Simon Schmidt |
| collection | DOAJ |
| description | So far, neither a grassland map, temporal analysis of the conversion of permanent grassland (PG) to other land uses nor the differentiation of permanent and temporal grassland exists for Switzerland. For the first time in Switzerland, we present a Swiss national grassland map for the year 2015 capturing the extent of both, permanent and temporal grasslands (here called grasslands) by intersecting the information of three datasets. We blended the high temporal resolution Climate Change Initiate (CCI) Land Cover of 2015 (processed by the European Space Agency (ESA)), with the high spatial resolution Swiss topographical landscape model “SwissTLM3D” and the landscape model “vector25” both provided by Swisstopo. The final data presents the spatial patterns and the national extent of Swiss grasslands. Furthermore, the recently published (April 2017) CCI Land Cover dataset allow extracting the extent of grasslands for 24 years (1992–2015) with a coarse spatial resolution of 300 m. We used the time series data of the grassland extent to produce annual PG maps from 1996 to 2015. That data enables the identification of the development of grassland extent over two decades. The Swiss national grassland map is used for investigating the spatio-temporal patterns of the soil erosion risk of Swiss grasslands (see Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland, doi:10.1016/j.rse.2018.04.008 (Schmidt el al., 2018)). Keywords: Land use change, Land cover classification, Time series, Change detection, Soil erosion, Alpine environment, C-factor, CCI Land Cover |
| first_indexed | 2024-12-19T08:24:34Z |
| format | Article |
| id | doaj.art-f0d798095057498a8e15609eb293e327 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-19T08:24:34Z |
| publishDate | 2018-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f0d798095057498a8e15609eb293e3272022-12-21T20:29:20ZengElsevierData in Brief2352-34092018-10-012019921998Change of permanent grasslands extent (1996-2015) and national grassland dataset of SwitzerlandSimon Schmidt0Christine Alewell1Katrin Meusburger2Environmental Geosciences, University of Basel, Bernoullistrasse 30, CH-4056 Basel, Switzerland; Corresponding author.Environmental Geosciences, University of Basel, Bernoullistrasse 30, CH-4056 Basel, SwitzerlandEnvironmental Geosciences, University of Basel, Bernoullistrasse 30, CH-4056 Basel, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, SwitzerlandSo far, neither a grassland map, temporal analysis of the conversion of permanent grassland (PG) to other land uses nor the differentiation of permanent and temporal grassland exists for Switzerland. For the first time in Switzerland, we present a Swiss national grassland map for the year 2015 capturing the extent of both, permanent and temporal grasslands (here called grasslands) by intersecting the information of three datasets. We blended the high temporal resolution Climate Change Initiate (CCI) Land Cover of 2015 (processed by the European Space Agency (ESA)), with the high spatial resolution Swiss topographical landscape model “SwissTLM3D” and the landscape model “vector25” both provided by Swisstopo. The final data presents the spatial patterns and the national extent of Swiss grasslands. Furthermore, the recently published (April 2017) CCI Land Cover dataset allow extracting the extent of grasslands for 24 years (1992–2015) with a coarse spatial resolution of 300 m. We used the time series data of the grassland extent to produce annual PG maps from 1996 to 2015. That data enables the identification of the development of grassland extent over two decades. The Swiss national grassland map is used for investigating the spatio-temporal patterns of the soil erosion risk of Swiss grasslands (see Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland, doi:10.1016/j.rse.2018.04.008 (Schmidt el al., 2018)). Keywords: Land use change, Land cover classification, Time series, Change detection, Soil erosion, Alpine environment, C-factor, CCI Land Coverhttp://www.sciencedirect.com/science/article/pii/S235234091831117X |
| spellingShingle | Simon Schmidt Christine Alewell Katrin Meusburger Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland Data in Brief |
| title | Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland |
| title_full | Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland |
| title_fullStr | Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland |
| title_full_unstemmed | Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland |
| title_short | Change of permanent grasslands extent (1996-2015) and national grassland dataset of Switzerland |
| title_sort | change of permanent grasslands extent 1996 2015 and national grassland dataset of switzerland |
| url | http://www.sciencedirect.com/science/article/pii/S235234091831117X |
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