基于野外资料和Google Earth影像的地质信息识别与提取方法——以塔里木盆地西克尔奥陶系古岩溶露头为例

以塔里木盆地西克尔奥陶系古岩溶露头为研究对象,根据高精度GPS野外定点和Google Earth影像数据的结合,明确了岩溶地质现象在影像图上的响应特征,进而提取定量化的古岩溶信息数据,经过数据处理建立了古岩溶地质模型。本项研究证实了基于野外资料和Google Earth影像的地质信息识别与提取方法的可行性,也表明了该方法能够实现对未开展露头考察的影像图直接提取相应地质信息和采集定量化数据。通过利用这些数据建立岩溶储层地质模型,结合野外资料,综合分析岩溶储层发育的控制因素,进而客观地理解地下岩溶储层特征及分布规律,能够为勘探开发提供有效指导。

Identification and Acquirement Methods of Geological Information Based on Integrating Outcrops and Google Earth Satellite Images:A Case at an Ordovician Paleokarst Outcrop in Xekar,Tarim Basin

Public Google Earth satellite images can provide a large number of quantitative information data of geology. On the basis of outcrop information anatomy, precise positioning by GPS and the high resolution satellite image, a new method by integrating outcrop data and Google Earth images for identifying and acquiring geological information was proposed. To test the method of validation, the Ordovician paleokarst outcrop developed in Xekar area, Tarim Basin, was adopted to build karst geological model. The responsive characteristics of several types of geological information, which contains corrosion channels, paleocaves on Google Earth images in Xekar, can be confirmed. A quantitative paleokarst geological database is established. The basic type of data contains the edges of corrosion depressions, the edge of corrosion channels, and the size of paleocaves. Paleokarst geological models, outcrop phenomenon and satellite images are all available data that can be used to analyze the controlling factors of paleokarst in the research area.