Many different methods of inventory data collection are used by transportation agencies in the United States, but are often time consuming and labor intensive. With data needs increasing for transportation agencies, there is a need for more efficient methods of data collection. This research describes the application of remote sensing for inventorying transportation features. Remote sensing is the process of detecting or monitoring an area usually from the air or from space by measuring reflected or emitted radiation. A pilot study was conducted to evaluate the feasibility of using remotely sensed images in the form of aerial or satellite photography for collection of roadway inventory features. As part of the study, aerial photographs of various resolutions were used to extract features and their accuracy evaluated to determine suitability for inventory purposes. The percentage of data elements that can be extracted from these images and the variation in locating them were tested as part of the study. The accuracy of linear measurements from these images was also evaluated. The methods of data extraction and recommendations on required resolutions are also provided.