Since the 1970s, remote sensing technology has evolved into an indispensable tool for delineating the characteristics of active surface faults, significantly enhancing geologists' insight into surface transformations. This research employs multisource remote sensing data, ranging from Landsat to Gaofen series satellites, complemented by advanced imaging processing techniques and extensive field geological investigations15. Such a holistic approach enables a detailed examination of the Qiaobei Town-Suqian Fault in Sihong County and its environs, with high-resolution imagery uncovering the fault’s intricate structural nuances.
In order to conduct a comprehensive analysis of active faults in Sihong County and its adjacent areas in the northwest of Jiangsu Province—specifically, to pinpoint the geographical presence and traits of the Qiaobei Town-Suqian Fault—this study amalgamated 0.5-meter resolution Google Earth optical remote sensing imagery, Gaofen-2 (GF-2), and Gaofen-7 (GF-7) images, as well as historical KH satellite images from December 5, 1970, which captured the topography and geomorphology of the region. Furthermore, this research incorporated Level 16 Digital Elevation Model (DEM) data from NASA, offering a spatial resolution of 15 meters, to facilitate geomorphological assessments and accurate fault detail extraction.
Regarding data processing, the gathered remote sensing imagery underwent a suite of preprocessing steps such as image cropping, stitching, and georegistration to guarantee the analysis's accuracy and reliability. Notably, the vintage KH satellite images—through leveraging the technical specs of film cameras (e.g., 70mm film and panchromatic imaging) and rigorous ground resolution enhancement—played a crucial role in fault line identification and geological structure analysis. By employing manual visual interpretation, coupled with supervised/unsupervised classification and knowledge-driven techniques, this study effectively pinpointed key characteristics of the Qiaobei Town-Suqian Fault in proximity to Chonggang Mountain, Shuanggou Town, and Weiying Town within Sihong County.
3.1 Macrogeomorphological Features
By integrating high-resolution remote sensing images with geographic information data from the surrounding areas of Sihong County, this study deeply analyzed the geological fault characteristics of Sihong County and its surrounding regions. KH satellite data from 1970, which recorded the original topography and geomorphology of Sihong County before the economic boom, provided key clues for revealing fault geomorphologies that are difficult to observe under the current context of high urbanization. In the remote sensing interpretation of faults within the urban target areas of Sihong County, we found that the image features of the Qiaobei Town-Suqian Fault (F1) and the Wangzhuang-Suxi Fault (F2) in the KH images are very clear. These early images revealed the apparent NNE trending linear image features of the Qiaobei Town-Suqian Fault, displaying the unique tonal anomaly zones of the fault zone, providing intuitive evidence for understanding the geological activity of the fault. Especially, through the comprehensive interpretation of KH satellite, Google Earth, and Gaofen-2 images, this study identified several key geological fault features:
1) A significant fault scarp formed near Chonggang Mountain in the north of the Qiaobei Town-Suqian Fault, and the disordered twisting of the mountain front plains in the west and the ridge lines in the east, clearly indicating the presence and intensity of fault activity.
2) As the fault extends to the Weiying Town area, the twisted misalignment of nearby ridge lines further confirms its activity.
3) When the fault extends to the vicinity of Shuanggou Town, the obvious twisting of ridge lines, the formation of fault depression lakes, and the topography of the mountain front plains all indirectly confirm the activity of the fault zone.
Although modern urbanization construction makes some fault features not as obvious as those in early images, through precise remote sensing interpretation, we can still identify the basic form and signs of activity of the fault zone. For example, the fault scarp formed near Chonggang Mountain in the north, the mountain front plains on the west side, the disordered movement of ridge lines on the east side, and the scattered string of bead lakes indirectly prove the existence of the fault.
3.2 Microgeomorphological Features
This study thoroughly analyzed the fault characteristics of the Qiaobei Town-Suqian Fault (F1) on the north side of Chonggang Mountain, the southwest side of Shuanggou Town, and the southeast side of Weiying Town. We have magnified and displayed the remote sensing interpretation markers of these areas, and conducted a detailed comparison of KH images, Google Earth images, and Gaofen-2 images to observe the fault activity characteristics more clearly. Early KH satellite data recorded the original topography of Sihong County and its surrounding areas before urbanization, providing us with clear evidence of fault activity. These data reveal complex structural topographic features that could only be disclosed through high-resolution remote sensing technology:
1) According to Fig 2, the Chonggang Mountain area shows clear fault clues of the Qiaobei Town-Suqian Fault in KH images (Fig 3(a)(b)). These fault zones extend prominently in the NNE direction, displaying tonal anomalies with vivid contrasts in the colors of the side scarps. Notably, the topographic features of these areas—including the mountain front plains, twisted ridge lines, and scattered small lakes—fully demonstrate the strike-slip activity of the fault. In the Google Earth (Fig 3(c)) and Gaofen-2 (Fig 3(d)) remote sensing images, although the twisting features of the ridges are no longer significant, the distribution of bead-like lakes gradually formed by fault activity can still be observed, indirectly marking the position of the fault line.
2) Fig 4 shows the fault activity characteristics of Shuanggou Town, where the apparent linear fault scarps in the early KH images (Fig 4(b)) transition to the orderly agricultural field layout shown in Google Earth and Gaofen-2 images, reflecting the evolution of surface morphology over time.
3) The terrain near Weiying Town is clearly revealed in the KH images shown in Fig 5, displaying the terrain horizontal slip features reflected by the arrangement of fields. This slip pattern, marked by red arrows in Fig 5(b), points to the right-lateral strike-slip direction of the fault. Fig 6 further presents the geological markers of the Weiying Town area, showing fault depression features formed by front fault activity, which have created a dendritic water system layout, representing typical fault depression lakes. The observed ridge displacement features are closely linked to the orientation of the Qiaobei Town-Suqian Fault.
3.3 DEM Remote Sensing Analysis
Utilizing three-dimensional visualization technology to process the DEM data of the target area (Fig 7), an exhaustive analysis of the Qiaobei Town-Suqian Fault and its activity characteristics and spatial distribution was conducted. Upon observation, the Qiaobei Town-Suqian Fault (F1) is clearly manifested as the most actively faulted, displaying significant fault geomorphology. The 3D DEM shows that its northeastern side is bordered by Chonggang Mountain, with the western edge being a plain characterized by bead-like lakes and intermittent ridge dislocations, marking horizontal misalignment. These features indicate the profound impact of the Qiaobei Town-Suqian Fault on the terrain, especially its geomorphological shaping role as it extends to the southwest.