Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data
文献类型：期刊论文
| 作者 | Zhao, Yuanyuan1; Feng, Duole1; Yu, Le1; Wang, Xiaoyi1; Chen, Yanlei1; Bai, Yuqi1; Hernández, H. Jaime1; Galleguillos, Mauricio1; Estades, Cristian1; Biging, Gregory S.1 |
| 刊名 | Remote Sensing of Environment
 |
| 出版日期 | 2016 |
| 卷号 | 183页码:170-185 |
| 关键词 | DIGITAL EARTH RECONSTRUCTION SVD |
| 通讯作者 | Gong, Peng (penggong@tsinghua.edu.cn) |
| 英文摘要 | Stretching over 4300 km north to south, Chile is a special country with complicated landscapes and rich biodiversity. Accurate and timely updated land cover map of Chile in detailed classification categories is highly demanded for many applications. A conclusive land cover map integrated from multi-seasonal mapping results and a seasonal dynamic map series were produced using Landsat 8 imagery mainly acquired in 2013 and 2014, supplemented by MODIS Enhanced Vegetation Index data, high resolution imagery on Google Earth, and Shuttle Radar Topography Mission DEM data. The overall accuracy is 80% for the integrated map at level 1 and 73% for level 2 based on independent validation data. Accuracies for seasonal map series were also assessed, which is around 70% for each season, greatly improved by integrated use of seasonal information. The importance of growing season imagery was proved in our analysis. The analysis of the spatial variation of accuracies among various ecoregions indicates that the accuracy for land cover mapping decreases gradually from central Chile to both north and south. More mapping efforts for those ecoregions are needed. In addition, the training dataset includes sample points spatially distributed in the whole country, temporally distributed throughout the year, and categorically encompassing all land cover types. This training dataset constitutes a universal sample set allowing us to map land cover from any Landsat 8 image acquired in Chile without additional ad hoc training sample collection. © 2016 Elsevier Inc. |
| 学科主题 | Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20162402479093 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39415]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Ministry of Education Key Laboratory for Earth System Modelling, Centre for Earth System Science, Tsinghua University, Beijing 2.100084, China 3. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, and Beijing Normal University, Beijing 4.100101, China 5. Department of Environmental Science Policy and Management, UC Berkeley, Berkeley 6.CA 7.94720, United States 8. Geomatics and Landscape Ecology Lab, Forestry and Nature Conservation Faculty, University of Chile, Santiago, Chile 9. Department of Environmental Sciences, Faculty of Agronomic Sciences, University of Chile, Santiago, Chile 10. Wildlife Ecology Lab, Forestry and Nature Conservation Faculty, University of Chile, Santiago, Chile |
| 推荐引用方式 GB/T 7714 | Zhao, Yuanyuan,Feng, Duole,Yu, Le,et al. Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data[J]. Remote Sensing of Environment,2016,183:170-185. |
| APA | Zhao, Yuanyuan.,Feng, Duole.,Yu, Le.,Wang, Xiaoyi.,Chen, Yanlei.,...&Gong, Peng.(2016).Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data.Remote Sensing of Environment,183,170-185. |
| MLA | Zhao, Yuanyuan,et al."Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data".Remote Sensing of Environment 183(2016):170-185. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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