摘要
研究表明大地震之前由于地表温度的变化会引起长波辐射OLR(Outgoing Longwave Radiation)数据异常,但目前缺乏有效的技术来提取异常。我们提出了一种基于随机传感器和鞅理论的异常数据挖掘算法ADRM (Abnormality Detection based on Randomized Transducer and Power Martingales),经过实验对比能有效挖掘异常。本数据集记录了尼泊尔地区2009-2018年10年间的NOAA卫星的OLR数据和经过异常数据挖掘后的相应数据序列。数据集在地域上,以尼泊尔地震震中为中心的周边地域划分为同样经纬度2.5°×2.5°为单位的25个网格;时间上,定义每个年度是从上一年的9月28日到下一年的9月28日,共计366天,2009-2018年10年的数据。数据集存储为1个.xls文件,数据量为3.92 MB。基于该数据集的研究成果分别发表在《地球信息科学学报》(2018年20卷8期)和《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》(2018年11卷8期)。
Studies have shown that changes in surface temperature before a large earthquake can cause abnormal outgoing longwave radiation(OLR), but there is currently no effective technique for extracting these anomalies. We propose a data mining algorithm called Abnormality Detection based on Randomized transducers and power Martingales(ADRM), which uses stochastic sensors and martingale theory to mine anomalies effectively through experimental comparison. OLR data from the source NOAA satellite and the corresponding data sequence after anomalous data mining are taken from the Nepal region for the period of 2009–2018. Spatially, the dataset covers 25 grid cells(five rows and five columns) centered on the epicenter of the Nepal earthquake(28.23°N, 84.73°E). Each grid cell covers 2.5°?2.5°, and the epicenter is located in the central cell. In terms of time, each year is defined as 366 days from September 28 of one year to September 28 of the next year. The dataset includes abnormal OLR signals recorded in Nepal from 2009 to 2018. The dataset is archived in.xls format, consisting of a single file with a data size of 3.92 MB. A research paper based on this dataset, titled "Pre-earthquake anomaly data mining of remote sensing OLR in Nepal earthquake," was published in the Journal of Geo-information Science(Vol. 20, No. 8, 2018), and a paper titled "Relationship of stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan earthquakes" was published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(Vol. 11, No. 8, 2018).
作者
林岭
孔祥增
李南
江晓英
Lin L.;Kong X.Z.;Li N.;Jiang X.Y.(College of Mathematics and Informatics,Fujian Normal University,Fuzhou 350117,China;College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou 350007,China)
出处
《全球变化数据学报(中英文)》
CSCD
2020年第1期38-45,38-45,共16页
Journal of Global Change Data & Discovery
基金
福建省(2019Y0008)
国家自然科学基金(61772004,41601477)