A global dataset of crowdsourced land cover and land use reference data
Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets, large discrepancies have been noted among the available products. Global land us...
| Autores principales: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/146184 |
| _version_ | 1855524531177783296 |
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| author | Fritz, Steffen See, Linda Perger, Christoph McCallum, Ian Schill, Christian Schepaschenko, Dmitry Duerauer, Martina Karner, Mathias Dresel, Christopher Laso-Bayas, Juan-Carlos Lesiv, Myroslava Moorthy, Inian Salk, Carl F. Danylo, Ohla Sturn, Tobias Albrecht, Franziska You, Liangzhi Kraxner, Florian Obersteiner, Michael |
| author_browse | Albrecht, Franziska Danylo, Ohla Dresel, Christopher Duerauer, Martina Fritz, Steffen Karner, Mathias Kraxner, Florian Laso-Bayas, Juan-Carlos Lesiv, Myroslava McCallum, Ian Moorthy, Inian Obersteiner, Michael Perger, Christoph Salk, Carl F. Schepaschenko, Dmitry Schill, Christian See, Linda Sturn, Tobias You, Liangzhi |
| author_facet | Fritz, Steffen See, Linda Perger, Christoph McCallum, Ian Schill, Christian Schepaschenko, Dmitry Duerauer, Martina Karner, Mathias Dresel, Christopher Laso-Bayas, Juan-Carlos Lesiv, Myroslava Moorthy, Inian Salk, Carl F. Danylo, Ohla Sturn, Tobias Albrecht, Franziska You, Liangzhi Kraxner, Florian Obersteiner, Michael |
| author_sort | Fritz, Steffen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets, large discrepancies have been noted among the available products. Global land use is typically more difficult to map and in many cases cannot be remotely sensed. In-situ or ground-based data and high resolution imagery are thus an important requirement for producing accurate land cover and land use datasets and this is precisely what is lacking. Here we describe the global land cover and land use reference data derived from the Geo-Wiki crowdsourcing platform via four campaigns. These global datasets provide information on human impact, land cover disagreement, wilderness and land cover and land use. Hence, they are relevant for the scientific community that requires reference data for global satellite-derived products, as well as those interested in monitoring global terrestrial ecosystems in general. |
| format | Journal Article |
| id | CGSpace146184 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1461842025-12-08T10:29:22Z A global dataset of crowdsourced land cover and land use reference data Fritz, Steffen See, Linda Perger, Christoph McCallum, Ian Schill, Christian Schepaschenko, Dmitry Duerauer, Martina Karner, Mathias Dresel, Christopher Laso-Bayas, Juan-Carlos Lesiv, Myroslava Moorthy, Inian Salk, Carl F. Danylo, Ohla Sturn, Tobias Albrecht, Franziska You, Liangzhi Kraxner, Florian Obersteiner, Michael environmental impact land use geography land cover Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets, large discrepancies have been noted among the available products. Global land use is typically more difficult to map and in many cases cannot be remotely sensed. In-situ or ground-based data and high resolution imagery are thus an important requirement for producing accurate land cover and land use datasets and this is precisely what is lacking. Here we describe the global land cover and land use reference data derived from the Geo-Wiki crowdsourcing platform via four campaigns. These global datasets provide information on human impact, land cover disagreement, wilderness and land cover and land use. Hence, they are relevant for the scientific community that requires reference data for global satellite-derived products, as well as those interested in monitoring global terrestrial ecosystems in general. 2017 2024-06-21T09:06:07Z 2024-06-21T09:06:07Z Journal Article https://hdl.handle.net/10568/146184 en Open Access Springer Fritz, Steffen; See, Linda; Perger, Christoph; McCallum, Ian; Schill, Christian; Schepaschenko, Dmitry; Duerauer, Martina; Karner, Mathias; Dresel, Christopher; Laso-Bayas, Juan-Carlos; Lesiv, Myroslava; Moorthy, Inian; Salk, Carl F.; Danylo, Ohla; Sturn, Tobais; Albrecht, Franziska; You, Liangzhi; Kraxner, Florian; and Obersteiner, Michael. A global dataset of crowdsourced land cover and land use reference data. Scientific Data 4 (170075): https://doi.org/10.1038/sdata.2017.75 |
| spellingShingle | environmental impact land use geography land cover Fritz, Steffen See, Linda Perger, Christoph McCallum, Ian Schill, Christian Schepaschenko, Dmitry Duerauer, Martina Karner, Mathias Dresel, Christopher Laso-Bayas, Juan-Carlos Lesiv, Myroslava Moorthy, Inian Salk, Carl F. Danylo, Ohla Sturn, Tobias Albrecht, Franziska You, Liangzhi Kraxner, Florian Obersteiner, Michael A global dataset of crowdsourced land cover and land use reference data |
| title | A global dataset of crowdsourced land cover and land use reference data |
| title_full | A global dataset of crowdsourced land cover and land use reference data |
| title_fullStr | A global dataset of crowdsourced land cover and land use reference data |
| title_full_unstemmed | A global dataset of crowdsourced land cover and land use reference data |
| title_short | A global dataset of crowdsourced land cover and land use reference data |
| title_sort | global dataset of crowdsourced land cover and land use reference data |
| topic | environmental impact land use geography land cover |
| url | https://hdl.handle.net/10568/146184 |
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