| A Geostatistical Approach to Upscale Soil Moisture With Unequal Precision Observations | |
| Ge Y. | |
| 2014 | |
| 关键词 | Block kriging (BK) Heihe Watershed Allied Telemetry Experimental Research (HiWATER) Monte Carlo simulation remote sensing product validation sensor network design radiobrightness grassland products |
| 英文摘要 | Upscaling ground-based moisture observations to satellite footprint-scale estimates is an important problem in remote sensing soil-moisture product validation. The reliability of validation is sensitive to the quality of input observation data and the upscaling strategy. This letter proposes a model-based geostatistical approach to scale up soil moisture with observations of unequal precision. It incorporates unequal precision in the spatial covariance structure and uses Monte Carlo simulation in combination with a block kriging (BK) upscaling strategy. The approach is illustrated with a real-world application for upscaling soil moisture in the Heihe Watershed Allied Telemetry Experimental Research experiment. The results show that BK with unequal precision observations can consider both random ground-based measurement errors and upscaling model error to achieve more reliable estimates. We conclude that this approach is appropriate to quantify upscaling uncertainties and to investigate the error propagation process in soil-moisture upscaling. |
| 出处 | Ieee Geoscience and Remote Sensing Letters |
| 卷 | 11 |
| 期 | 12 |
| 页 | 2125-2129 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1545-598X |
| 内容类型 | SCI/SSCI论文 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29561]  |
| 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 Y.. A Geostatistical Approach to Upscale Soil Moisture With Unequal Precision Observations. 2014. |
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