遥感技术在鲁西南地区地热资源勘查的应用
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摘要
遥感技术是地热资源调查的有效途径之一。本文利用ETM6波段进行亮温计算得到地表亮温图,并对其进行密度分割和均值滤波处理提取地热异常点;依据地表植被在地热异常区存在长势差异,通过TM437假彩色合成图像提取该信息得到初级地热异常区;利用遥感图像超出可见光范围的多波段信息"概括"作用,识别与地热形成密切相关的隐伏断裂构造,叠合亮温图结合研究区区域地质资料关联分析,预测地热存在有利区圈划出孙庄-东马店异常区、李庄异常区、春秋庄—陈庄异常区共3处地热异常靶区,为研究区地热资源的开发利用提供依据。
Thermal infrared remote sensing technique is one of the approaches to the geothermal resource survey. This paper adopts ETM6 band figure light temperature to calculate the surface temperature, and carries on the density of segmentation and average filtering processing to extract the geothermal anomaly. Based on the long-term difference of surface vegetation in the geothermal anomaly area, the information was extracted by TM437 false color composite image to obtain the primary geothermal anomaly region. By using remote sensing image beyond the visible light range of multi-band information "generalization", the geothermal formation is closely related to the concealed fault structure, composite light temperature figure in combination with regional geological data correlation analysis in the study area. It predicts three geothermal anomaly areas: Sunzhuang-Dongmadian anomaly area, Lizhuang anomaly area, Chunqiuzhuang-Chenzhuang anomaly area. The study results provide the basis for the development and utilization of geothermal resources in the study area.
Thermal infrared remote sensing technique is one of the approaches to the geothermal resource survey. This paper adopts ETM6 band figure light temperature to calculate the surface temperature, and carries on the density of segmentation and average filtering processing to extract the geothermal anomaly. Based on the long-term difference of surface vegetation in the geothermal anomaly area, the information was extracted by TM437 false color composite image to obtain the primary geothermal anomaly region. By using remote sensing image beyond the visible light range of multi-band information "generalization", the geothermal formation is closely related to the concealed fault structure, composite light temperature figure in combination with regional geological data correlation analysis in the study area. It predicts three geothermal anomaly areas: Sunzhuang-Dongmadian anomaly area, Lizhuang anomaly area, Chunqiuzhuang-Chenzhuang anomaly area. The study results provide the basis for the development and utilization of geothermal resources in the study area.
引文
曹洪松,逯光明,石建,等,2008.济宁市城区遥感地热异常及其地热田地质特征[J].山东国土资源,24(4):29-34.
许军强,邢立新,王明常,等,2007.基于ETM数据的佳木斯市地热预测研究[J].遥感应用,(2):55-58.
王飞跃,陈强华,1997.应用多波段合成图像圈定地热异常的初步探索[J].国土资源遥感,(1):52-58.
许军强,邢立新,王明常,等,2007.基于ETM数据的佳木斯市地热预测研究[J].遥感应用,(2):55-58.
王飞跃,陈强华,1997.应用多波段合成图像圈定地热异常的初步探索[J].国土资源遥感,(1):52-58.