A review of recent developments in HASM
文献类型:SCI/SSCI论文
作者 | Yue T. X.; Zhang, L. L.; Zhao, N.; Zhao, M. W.; Chen, C. F.; Du, Z. P.; Song, D. J.; Fan, Z. M.; Shi, W. J.; Wang, S. H. |
发表日期 | 2015 |
关键词 | Surface modeling method HASM Error Computational speed Memory requirement Accuracy major terrestrial ecosystems high-speed method high-accuracy dem construction china information integration satellite algorithm climate |
英文摘要 | Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparsely to satisfy the application requirements at regional scale. Satellite remote sensing can frequently supply spatially continuous information on earth surface, which is impossible from ground-based investigations, but remote sensing description is not able to directly obtain process parameters. In fact, in terms of fundamental theorem of surfaces, a surface is uniquely defined by the first fundamental coefficients, about the details of the surface observed when we stay on the surface, and the second fundamental coefficients, the change of the surface observed from outside the surface. A method for high accuracy surface modeling (HASM) has been developed initiatively to find solutions for error problem and slow-speed problem of earth surface modeling since 1986. HASM takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. Its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. This paper reviews problems to be solved in every development stage and applications of HASM. |
出处 | Environmental Earth Sciences |
卷 | 74 |
期 | 8 |
页 | 6541-6549 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1866-6280 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/39016] |
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 | Yue T. X.,Zhang, L. L.,Zhao, N.,et al. A review of recent developments in HASM. 2015. |
入库方式: OAI收割
来源:地理科学与资源研究所
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