Abstract

The north-south Qatar-Kazerun fault, with an estimated 450-km length, is a fault with lithic basement. It is mostly covered by young Quaternary alluvium, which has led to obscurities of rock structure and fractures. As residential areas (such as Nour-Abad, Khumeh Zar, Qaemiyeh and Kamaraj) are mainly placed on plains covered by Quaternary alluvium, telemetry methods, especially structural analyses based on satellite images, which are nowadays regarded as good complements to field studies. That is why many satellites are recently launched for different scientific objectives. Landsat is one of these research satellites; it is for long helping scientists in different fields of natural sciences. The present paper enjoys the latest information obtained through Landsat 8. Using several image reproducing operations and assistant software, it draws a new structure for the area and presents it for further analysis and interpretation.

Highlights

  • Remote sensing can be called acquiring information technology and land imaging using aeronautical equipment such as aircraft or space equipment such as satellites [1] [2]

  • Remote sensing technology and satellite images are used in various fields such as fault detection, mine exploration, petrology and mapping [3] [4]

  • Eliminating the effect of topography and shadows can be cited among advantages of this method, which can be applied on two image types: A

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Summary

Introduction

Remote sensing can be called acquiring information technology and land imaging using aeronautical equipment such as aircraft or space equipment such as satellites [1] [2]. Remote sensing technology and satellite images are used in various fields such as fault detection, mine exploration, petrology and mapping [3] [4]. The required data is collected by a sensor. The collected data is integrated with other layers of information in GIS system. The integrated data is prepared for the user. In this stage, the integrated data is interpreted by using various methods. In addition to data interpretation, images are interpreted to identify

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