Validation of Land Cover Maps in China Using a Sampling-Based Labeling Approach
文献类型：SCI/SSCI论文
| 作者 | Bai Y.; Feng, M.; Jiang, H.; Wang, J. L.; Liu, Y. Z. |
| 发表日期 | 2015 |
| 关键词 | accuracy assessment data sets spatial-resolution products classification information imagery modis area discover |
| 英文摘要 | This paper presents a rigorous validation of five widely used global land cover products, i.e., GLCC (Global Land Cover Characterization), UMd (University of Maryland land cover product), GLC2000 (Global Land Cover 2000 project data), MODIS LC (Moderate Resolution Imaging Spectro-radiometer Land Cover product) and GlobCover (GLOBCOVER land cover product), and a national land cover map GLCD-2005 (Geodata Land Cover Dataset for year 2005) against an independent reference data set over China. The land cover reference data sets in three epochs (1990, 2000, and 2005) were collected on a web-based prototype system using a sampling-based labeling approach. Results show that, in China, the highest overall accuracy is observed in GLCD-2005 (72.3%), followed by MODIS LC (68.9%), GLC2000 (65.2%), GlobCover (57.7%) and GLCC (57.2%), while UMd has the lowest accuracy (48.6%); all of the products performed best in representing "Trees" and "Others", well with "Grassland" and "Cropland", but problematic with "Water" and "Urban" across China in general. Moreover, in respect of GLCD-2005, there are significant accuracy differences across seven geographical locations of China, ranging from 46.3% in the Southwest, 77.5% in the South, 79.2% in the Northwest, 80.8% in the North, 81.8% in the Northeast, 82.6% in the Central, to 89.0% in the East. This study indicates that a regionally focused land cover map would in fact be more accurate than extracting the same region from a globally produced map. |
| 出处 | Remote Sensing |
| 卷 | 7 |
| 期 | 8 |
| 页 | 10589-10606 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2072-4292 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38548]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Bai Y.,Feng, M.,Jiang, H.,et al. Validation of Land Cover Maps in China Using a Sampling-Based Labeling Approach. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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