| DOI: | 10.2172/1029771
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| 报告号: | SAND2011-6876
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| 报告题名: | Spatial-temporal event detection in climate parameter imagery. |
| 作者: | Carroll, J. N.; Khalek, I. A.; Smith, L. R.; Fujita, E.; Zielinska, B.
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| 出版年: | 2011
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| 发表日期: | 2011-10-01
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| 总页数: | 42
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| 国家: | 美国
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| 语种: | 英语
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| 中文主题词: | 铅
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| 主题词: | LEAD
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| 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: | http://www.osti.gov/scitech/servlets/purl/1029771
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/40076
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1029771.pdf（1446KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Carroll, J. N.,Khalek, I. A.,Smith, L. R.,et al. Spatial-temporal event detection in climate parameter imagery.. 2011-01-01.
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