K Prabhakar, E N Dhananjaya Rao, A Lakshmi Venkatesh, N Ankita Varma, Ch Aruna
Department of Geology, South Campus, Andhra University, Visakhapatnam, AP 530003, India.
Data Brief. 2023 Dec 12;52:109939. doi: 10.1016/j.dib.2023.109939. eCollection 2024 Feb.
Lineaments are the linear geological features can extend from few meters to hundreds of kms. Geologically lineaments are either structural or stratigraphical, typically it will comprise fault, fold axis, bedding contacts, dyke intrusions, shear zone or a straight coast line. Mapping lineaments using remote sensing is economical, faster can act as a preliminary study for geophysical survey such as gravity, electrical, magnetic and seismic etc. Generally, lineaments have been mapped using the optical remote sensing data such as Landsat, Resourcesat etc. For India, Lineaments were mapped using the LISS III and LISS IV of Resourcesat-1 & 2 at a scale of 1:50k. However in tropical region like India, limited exposure of ground due to vegetation cover, lineaments may go unnoticed in optical remote sensing data. This problem can be overcome by Synthetic Aperture Radar (SAR) data, which can penetrate ground significantly. With the launch of RISAT-1 satellite, data availability of SAR data is immense for Indian region. Aim of this study to explore the SAR data and merged SAR and optical data for lineament mapping.
线性构造是指长度从几米到数百公里不等的线状地质特征。从地质角度来看，线性构造可分为构造性或地层性，通常包括断层、褶皱轴、层面接触、岩脉侵入、剪切带或直线海岸线。利用遥感技术绘制线性构造既经济又快捷，还能作为重力、电法、磁法和地震等地球物理勘探的初步研究。一般来说，线性构造是利用陆地卫星、资源卫星等光学遥感数据绘制的。在印度，线性构造是利用资源卫星-1和2的线性成像自扫描传感器III（LISS III）和线性成像自扫描传感器IV（LISS IV）以1:50000的比例绘制的。然而，在印度这样的热带地区，由于植被覆盖导致地面暴露有限，线性构造在光学遥感数据中可能会被忽视。合成孔径雷达（SAR）数据可以显著穿透地面，从而克服这一问题。随着RISAT-1卫星的发射，印度地区可获取的SAR数据量巨大。本研究的目的是探索SAR数据以及融合SAR和光学数据用于线性构造测绘。
