TY - GEN
T1 - Evaluating remotely sensed images for use in inventorying roadway features
AU - Veneziano, David
AU - Hallmark, Shauna L.
AU - Souleyrette, Reginald R.
AU - Mantravadi, Kamesh
PY - 2002
Y1 - 2002
N2 - 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 requirements for transportation agencies increasing, there is a need for more efficient data collection methods. This paper describes the application of remote sensing for inventorying transportation features. Remote sensing is the process of recording information about an area by measuring reflected or emitted radiation using a sensor that is usually based on an air or space platform. A pilot study was conducted to evaluate the use of remotely sensed images for the collection of roadway inventory features. Images individually collected at 2-inch, 6-inch, 24-inch, and 1-meter resolutions were evaluated and compared for the study area. Images were tested for positional accuracy, the number of inventory features that could consistently be identified, and ability to measure linear features.
AB - 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 requirements for transportation agencies increasing, there is a need for more efficient data collection methods. This paper describes the application of remote sensing for inventorying transportation features. Remote sensing is the process of recording information about an area by measuring reflected or emitted radiation using a sensor that is usually based on an air or space platform. A pilot study was conducted to evaluate the use of remotely sensed images for the collection of roadway inventory features. Images individually collected at 2-inch, 6-inch, 24-inch, and 1-meter resolutions were evaluated and compared for the study area. Images were tested for positional accuracy, the number of inventory features that could consistently be identified, and ability to measure linear features.
UR - http://www.scopus.com/inward/record.url?scp=0036050301&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036050301&partnerID=8YFLogxK
U2 - 10.1061/40632(245)48
DO - 10.1061/40632(245)48
M3 - Conference contribution
AN - SCOPUS:0036050301
SN - 0784406324
SN - 9780784406328
T3 - Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering
SP - 378
EP - 385
BT - Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering
T2 - Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation
Y2 - 5 August 2002 through 7 August 2002
ER -