Literature DB >> 30690230

Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution.

Samuel Park1, Hemin Lee1, Jinhyung Chon2.   

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 km2 when the resolution is 5 cm/pix and 30.64 km2 when the resolution is 20 cm/pix. Rotary-wing unmanned aerial vehicles are sustainable when their monitoring coverage is less than 23.98 km2 at a resolution of 5 cm/pix and 26.75 km2 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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Aerial photography resolution; Optimal coverage; Social cost; Sustainable monitoring; UAV wing type

Mesh:

Year:  2018        PMID: 30690230     DOI: 10.1016/j.envpol.2018.08.050

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation.

Authors:  Leonardo Volpato; Francisco Pinto; Lorena González-Pérez; Iyotirindranath Gilberto Thompson; Aluízio Borém; Matthew Reynolds; Bruno Gérard; Gemma Molero; Francelino Augusto Rodrigues
Journal:  Front Plant Sci       Date:  2021-02-16       Impact factor: 5.753

2.  Street Tree Planning to Improve Public Health and Ecosystem Resilience in Urban Areas: A Scenario Analysis Using a System Dynamics Model.

Authors:  Youngsun Seok; Hyosook Yim; Taehyeon Moon; Jinhyung Chon
Journal:  Int J Environ Res Public Health       Date:  2022-01-31       Impact factor: 3.390

  2 in total

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