Spatial sampling design for estimating regional GPP with spatial heterogeneities
文献类型：EI期刊论文
| 作者 | Ge Yong |
| 发表日期 | 2014 |
| 关键词 | Estimation Anisotropy Design Interpolation Simulated annealing Thermal stratification |
| 英文摘要 | The estimation of regional gross primary production (GPP) is a crucial issue in carbon cycle studies. One commonly used way to estimate the characteristics of GPP is to infer the total amount of GPP by collecting field samples. In this process, the spatial sampling design will affect the error variance of GPP estimation. This letter uses geostatistical model-based sampling to optimize the sampling locations in a spatial heterogeneous area. The approach is illustrated with a real-world application of designing a sampling strategy for estimating the regional GPP in the Babao river basin, China. By considering the heterogeneities in the spatial distribution of the GPP, the sampling locations were optimized by minimizing the spatially averaged interpolation error variance. To accelerate the optimization process, a spatial simulated annealing search algorithm was employed. Compared with a sampling design without considering stratification and anisotropies, the proposed sampling method reduced the error variance of regional GPP estimation. 2013 IEEE. Personal. |
| 出处 | Ieee Geoscience and Remote Sensing Letters
 |
| 卷 | 11期:2页:539-543 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31198]  |
| 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 | Ge Yong. Spatial sampling design for estimating regional GPP with spatial heterogeneities. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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