Data on SAR remote sensing in mode transportation studies

This study explores the application of SAR remote sensing data in transportation studies. The research methodology is based on the PRISMA framework, which employs systematic reviews and meta-analyses. Only articles and journals published between 1990 and 2022 were selected for analysis. A systematic search strategy was conducted using three major scientific databases: Web of Science (https://www.webofscience.com/), IEEE Xplore (https://ieeexplore.ieee.org/), and ScienceDirect (https://www.sciencedirect.com/).

The selected articles were classified into five categories aligned with the review objectives. The first category focused on classifying different modes of transportation, namely air, land, and water. The second category examined specific transportation vehicles, including airplanes, cars, trucks, trains, and ships or vessels. The third category addressed transportation infrastructure, such as airports, runways, roads, railways, ports, and harbors. Lastly, the fourth and fifth categories analyzed the geographic distribution of studies and publication patterns, respectively.

The datasets include raw data from the articles and a shapefile containing point vector data to map the spatial distribution of articles or journals.