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| DOI | https://doi.org/10.1594/PANGAEA.886298 |
| High-resolution land cover classification for Stordalen, Abisko region, northern Sweden | |
| Siewert; Matthias Benjamin | |
| 发布日期 | 2018-02-16 |
| 数据集类型 | dataset |
| 英文简介 | An object-based approach was used to generate a detailed land cover classification covering the Stordalen area near Abisko, northern Sweden. First, an orthophoto was combined with the DEM resampled to 1 m spatial resolution. A segmentation layer was generated by grouping pixels into homogeneous areas with a minimum region size of 130 m². From this a water mask was classified using the red band of the orthophoto and a slope layer. A land cover training set was created by combining field survey information with visual interpretation of the orthophoto and topography. The following layers were used as input for the classification algorithm: an orthophoto, elevation and slope; a SPOT5 4-band satellite image, and NDVI, SAVI and NIR/SWIR as SPOT5 derivatives. The segments were then classified using a support vector machine algorithm. Artificial surfaces were hand digitized and masked out. The individual thematic classes are described in TableA1. |
| 空间范围 | Latitude: 68.333000 * Longitude: 18.833000 |
| 语种 | 英语 |
| 国家 | 国际 |
| 学科大类 | 气候变化 |
| 学科子类 | 气候变化 |
| 文献类型 | 数据集 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/216292 |
| 推荐引用方式 GB/T 7714 | Siewert,Matthias Benjamin. High-resolution land cover classification for Stordalen, Abisko region, northern Sweden.2018-02-16.https://doi.org/10.1594/PANGAEA.886298. |
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