文章摘要
李新萍.洛宁盆地多源遥感地热信息提取方法研究[J].地质与勘探,2024,60(3):552-562
洛宁盆地多源遥感地热信息提取方法研究
Extraction of geothermal information from multi-source remote sensing data in the Luoning Basin
投稿时间:2021-08-25  修订日期:2024-01-14
DOI:10.12134/j.dzykt.2024.03.010
中文关键词: 多源遥感 地热 构造解译 蚀变提取 温度反演 洛宁盆地
英文关键词: multi-source remote sensing, geothermal, structural interpretation, alteration extraction, temperature inversion, Luoning Basin.
基金项目:河南省财政地质勘查项目(编号:豫自然资发[2021]16-2)资助
作者单位E-mail
李新萍 河南省地质矿产勘查开发局第一地质矿产调查院河南洛阳 124573995@qq.com 
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中文摘要:
      为探明洛宁盆地地热资源范围,为后期科学合理开发地热资源提供数据支撑,本文提出多源多时相遥感技术的综合预测方法。分别使用大气校正法、发射率归一化法对Landsat 8、ASTER数据进行地表昼夜温度反演,提取温度异常区。结果表明:此方法能够消除太阳辐射的影响,昼夜温度二者呈负相关;温度高异常区主要分布在水体、城镇区域,呈线状延伸。再结合多时相卫星数据对蚀变、构造信息进行提取,叠加温度、蚀变、构造图层,并结合已有地质资料综合分析,最终圈定3处靶区。其中金家庄-广武庙一带、霍家岭-岭东一带通过实地踏勘发现7处温泉点,验证了方法的可靠性。本文以地热形成理论为背景,结合遥感技术,综合利用地质资料,圈定地热靶区,其结果具有较高的精度。所采用的方法能够快速预测地热资源分布范围,具有低成本、周期短的特点以及较好的应用价值。
英文摘要:
      In order to explore the distribution of geothermal resources in the Luoning Basin and provide data support for future scientific and reasonable development, this work aims to propose a comprehensive prediction method of multi-source and multi-temporal remote sensing technology. Landsat 8 and ASTER data were used to conduct day and night temperature inversion by atmospheric correction method and emissivity normalization method, and the temperature anomaly area was extracted. Results show that this method can eliminate the influence of solar radiation, and a negative correlation exists between day temperature and night temperature. The abnormal areas of high temperature were mainly distributed in water bodies and urban areas, extending in a linear manner. Combined with multi-temporal satellite data, alteration and structural information were extracted, temperature, alteration and structural layers were superimposed, and comprehensive analysis of existing geological data was combined to finally delineate three target areas. Among them, seven hot spring spots were discovered in the Jinjiazhuang-Guangwumiao area and Huojialing-Lingdong area through field surveys, which have verified the reliability of this method. Based on geothermal resource theory, geothermal targets can be well delineated combined with remote sensing technology and geological data, and the results show high accuracy. This method can quickly predict the distribution of geothermal resources, characterized by low cost, short cycle time and good application value.
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