Geoscience and Remote Sensing

Ground Penetrating Radar (GPR) has a wide range of applications such as detection of buried mines, pipes and wires. GPR has been used as a near-surface remote sensing technique, and its working principle is based on electromagnetic (EM) wave theory. Here proposed data set is meant for data driven surrogate modelling based Buried Object Characterization. The considered problem of estimating geophysical parameters of a buried object is 2D. The training and testing scenarios include B-scan images (2D data), which contain 16 pairs of A-scan (concatenated forms of A-scans).

This is the experimental photo dataset of the article "An Automatic and Accurate Method for Marking GCPs in UAV Photogrammetry".

Glacial lake outburst floods (GLOFs) are a major threat to the local communities and important infrastructures in the high mountain regions. Early detection of glacial lakes can prevent these disastrous events. Towards this end, we collected Sentinel 2 true color scenes of High-Mountain Asia (HMA) region using glacial lakes inventory of this region. It covers an area of 2080.12 km2 with nearly 30,121 glacial lakes. After data collection, we retained 1200 cloud free true color images and manually generated their ground truth masks.

The geological and hydrological pressures were generally neglected primarily due to the challenging nature of the monitoring task in an underwater setting, particularly over a large-scale region. Using repeated multibeam sonar measurements, we developed an uncertainty-based approach for interpreting the geomorphic change of the Lion City, an ancient Chinese city that is submerged in Qiandao lake.