Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Samuel | - |
dc.contributor.author | Lee, Hemin | - |
dc.contributor.author | Chon, Jinhyung | - |
dc.date.accessioned | 2021-09-01T16:56:08Z | - |
dc.date.available | 2021-09-01T16:56:08Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-04 | - |
dc.identifier.issn | 0269-7491 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/66449 | - |
dc.description.abstract | Unmanned aerial vehicles can collect high-resolution and real-time photos while emitting fewer greenhouse gases than ordinary airplanes and therefore are considered economic and environmentally friendly platforms. However, quantitative analyses of the sustainability of using unmanned aerial vehicles for aerial photography based on their performance and technical constraints compared to that of airplanes are lacking. The purpose of this study is to analyze the economically and environmentally appropriate monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type (such as fixed-wing and rotary-wing types) and desired image resolution (such as 5 cm/pix and 20 cm/pix for the ground sample distance). To determine the sustainable monitoring coverage, the total photogrammetry costs must include the social cost to reduce the emitted greenhouse gases during operation, resulting in a feedback relation. As a result, the sustainable monitoring coverage of fixed-wing unmanned aerial vehicles should be less than 27.50 km(2) when the resolution is 5 cm/pix and 30.64 km(2) when the resolution is 20 cm/pix. Rotary-wing unmanned aerial vehicles are sustainable when their monitoring coverage is less than 23.98 km(2) at a resolution of 5 cm/pix and 26.75 km(2) at a resolution of 20 cm/pix. These results provide information on the number of unmanned aerial vehicles and the standing unmanned aerial vehicle deployment plans required to monitor the survey area. (C) 2018 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | BACTERIAL COMMUNITY | - |
dc.subject | COMBINED AMENDMENTS | - |
dc.subject | UAV | - |
dc.subject | BIOCHAR | - |
dc.subject | COMPOST | - |
dc.subject | SYSTEMS | - |
dc.title | Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chon, Jinhyung | - |
dc.identifier.doi | 10.1016/j.envpol.2018.08.050 | - |
dc.identifier.scopusid | 2-s2.0-85060499368 | - |
dc.identifier.wosid | 000460844800037 | - |
dc.identifier.bibliographicCitation | ENVIRONMENTAL POLLUTION, v.247, pp.340 - 348 | - |
dc.relation.isPartOf | ENVIRONMENTAL POLLUTION | - |
dc.citation.title | ENVIRONMENTAL POLLUTION | - |
dc.citation.volume | 247 | - |
dc.citation.startPage | 340 | - |
dc.citation.endPage | 348 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.subject.keywordPlus | BACTERIAL COMMUNITY | - |
dc.subject.keywordPlus | COMBINED AMENDMENTS | - |
dc.subject.keywordPlus | UAV | - |
dc.subject.keywordPlus | BIOCHAR | - |
dc.subject.keywordPlus | COMPOST | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordAuthor | Optimal coverage | - |
dc.subject.keywordAuthor | Sustainable monitoring | - |
dc.subject.keywordAuthor | Social cost | - |
dc.subject.keywordAuthor | UAV wing type | - |
dc.subject.keywordAuthor | Aerial photography resolution | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.