A study on correlativity between Qinghai-Tibet Plateau thermal infrared remote sensing data and underground temperature

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作者：
HAN Liqun BI Siwen SONG Shixin School of Information Engineering Beijing Technology and Business University Beijing China [100037 ]
Key Laboratory of Remote Sensing Information Sciences Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China [100101 ]
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Science in China(Series E:Technological Sciences) | 2006年 / Series E:Technological Sciences期
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摘要：
<正>Based on an analysis of the correlativity between Qinghai-Tibet Plateau thermal infrared remote sensing data (QPTIRSD) and underground temperature field distribution, the main factors which obviously influence underground-layer temperatures were derived. Using neural network technology, a model was built to compute underground temperatures via parameters out of the inversion of thermal infrared remote sensing (TIRS) and then analyze the correlativity between above-ground parameters and underground temperatures. This method offers a new way to apply TIRS in monitoring the suture zone of a large-area massif as well as to research structural thermal anomalies.
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页码：114 / 120
页数：7
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