Economics of mapping using small manned and unmanned aerial vehicles

Orrin H. Thomas, Charlie E. Smith, Benjamin E. Wilkinson

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Specific professional bids to perform aerial data collection using large manned aerial vehicles (LMAV), small manned aerial vehicles (SMAV), and small unmanned aerial systems (UAS) were used to generate general bid models. From these bid models, it was determined what collection methods were competitive for particular jobs based on the project area, distance from the airport or office, and the modeled bids from competing methods. This approach is followed by a discussion of each platform’s limitations and versatility. Results indicate that UAS and SMAV and can compete efficiently on aerial photogrammetric mapping up to at least 1,000 acres when the equipment gets enough usage. It is conjectured that this methodology will exert significant downward pressure on the cost of high-end sensors.

Original languageEnglish
Pages (from-to)581-591
Number of pages11
JournalPhotogrammetric Engineering and Remote Sensing
Volume83
Issue number8
DOIs
StatePublished - Aug 2017

Fingerprint

Dive into the research topics of 'Economics of mapping using small manned and unmanned aerial vehicles'. Together they form a unique fingerprint.

Cite this