Global S&T Development Trend Analysis Platform of Resources and Environment
| DOI | 10.2172/1029771 |
| 报告编号 | SAND2011-6876 |
| 来源ID | OSTI ID: 1029771 |
| Spatial-temporal event detection in climate parameter imagery. | |
| Carroll, J. N.; Khalek, I. A.; Smith, L. R.; Fujita, E.; Zielinska, B. | |
| 2011-10-01 | |
| 出版年 | 2011 |
| 页数 | 42 |
| 语种 | 英语 |
| 国家 | 美国 |
| 领域 | 地球科学 |
| 英文摘要 | Previously developed techniques that comprise statistical parametric mapping, with applications focused on human brain imaging, are examined and tested here for new applications in anomaly detection within remotely-sensed imagery. Two approaches to analysis are developed: online, regression-based anomaly detection and conditional differences. These approaches are applied to two example spatial-temporal data sets: data simulated with a Gaussian field deformation approach and weekly NDVI images derived from global satellite coverage. Results indicate that anomalies can be identified in spatial temporal data with the regression-based approach. Additionally, la Nina and el Nino climatic conditions are used as different stimuli applied to the earth and this comparison shows that el Nino conditions lead to significant decreases in NDVI in both the Amazon Basin and in Southern India. |
| URL | 查看原文 |
| 来源平台 | US Department of Energy (DOE) |
| 引用统计 | |
| 文献类型 | 科技报告 |
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/5462 |
| 专题 | 地球科学 |
| 推荐引用方式 GB/T 7714 | Carroll, J. N.,Khalek, I. A.,Smith, L. R.,et al. Spatial-temporal event detection in climate parameter imagery.,2011. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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