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Uncrewed airborne systems

Elina Kasvi(author)

Chapter of: The Field Guide to Mixing Social and Biophysical Methods in Environmental Research(pp. 593–600)

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Title	Uncrewed airborne systems
Contributor	Elina Kasvi(author)
DOI	https://doi.org/10.11647/obp.0418.45
Landing page	https://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.45
License	https://creativecommons.org/licenses/by-nc/4.0/
Copyright	Elina Kasvi;
Publisher	Open Book Publishers
Published on	2025-02-25
Long abstract	Uncrewed airborne systems (UAS) have become valuable tools for environmental research. They can be equipped with a variety of sensors, such as cameras and laser scanners, allowing researchers to perform low-cost close-range remote sensing surveys rapidly, accurately and relatively cost-efficiently. Effective and safe use of UAS requires specialized expertise in sensor operation, data analysis, and the regulatory frameworks, which may vary considerably depending on the country and region.
Page range	pp. 593–600
Print length	8 pages
Language	English (Original)

Locations
	Landing Page	Full text URL	Platform
PDF	https://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.45	Landing page	https://books.openbookpublishers.com/10.11647/obp.0418.45.pdf	Full text URL
HTML	https://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.45	Landing page	https://books.openbookpublishers.com/10.11647/obp.0418/ch45.xhtml	Full text URL	Publisher Website

Contributors

Elina Kasvi

(author)

Lecturer of Geoinformatics at University of Turku

https://orcid.org/0000-0002-3495-465X

References

Eltner, Hoffmeister, Kaiser, Karrasch, Klingbeil, Stöcker, Rovere (eds.) 2023. UAVs for the Environmental Sciences, Methods and Applications (Wissenschaftliche Buchgesellschaft, Darmstadt). ISBN: 978-3-534-40588-6, https://files.wbg-wissenverbindet.de/Files/Article/ARTK_ZOA_1028514_0003.pdf
Afshar-Mohajer, N. and C.-Y. Wu. 2023. ‘Use of a drone-based sensor as a field-ready technique for short-term concentration mapping of air pollutants: a modeling study’, Atmospheric Environment, 294.
D.R. Green, B.J. Gregory, A. Karachok (eds.) 2023. Unmanned Aerial Remote Sensing (UAS) for Environmental Applications (CRC Press).
Ancin-Murguzur, F.J., L. Munoz, C. Monz, and V.H. Hausner. 2020. ‘Drones as a tool to monitor human impacts and vegetation changes in parks and protected areas’, Remote Sensing in Ecology and Conservation, 6, pp. 105–113.
Braun, A., Chapter 39, this volume. ‘(Critical) Satellite remote sensing’.
Burgués, J. and S. Marco. 2023. ‘Drone-based monitoring of environmental gases’, in Air quality networks: Data Analysis, Calibration and Data Fusion, Environmental Informatics and Modeling, ed. by S. De Vito, K. Karatzas, A. Bartonova, and G. Fattoruso (Springer), pp. 115–137.
Dai, W., G. Zheng, G. Antoniazza, F. Zhao, K. Chen, W. Lu, and S.N. Lane. 2023. ‘Improving UAV-SfM photogrammetry for modelling high-relief terrain: Image collection strategies and ground control quantity’, Earth Surface Processes and Landforms, 48.14, pp. 2884–2899.
de Almeida, D.R.A., A.M. Almeyda Zambrano, E.N. Broadbent, A.L. Wendt, P. Foster, B.E. Wilkinson, C. Salk, D. Papa, S.C. Stark, R. Valbuena, E.B. Gorgens, C.A. Silva, P.H.S. Brancalion, M. Fagan, P. Meli, and R. Chazdon. 2020. ‘Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar’, Biotropica, 52, pp. 1155–1167.
de Keukelaere, L., R. Moelans, E. Knaeps, S. Sterckx, I. Reusen, D. de Munck, S.G.H. Simis, A.M. Constantinescu, A. Scrieciu, G. Katsouras, W. Mertens, P.D. Hunter, E. Spyrakos, and A. Tyler. 2023. ‘Airborne drones for water quality mapping in inland, transitional and coastal waters—MapEO water data processing and validation’, Remote Sensing, 15, p. 1345.
Dietrich, J.T. 2017. ‘Bathymetric Structure-from-Motion: Extracting shallow stream bathymetry from multi-view stereo photogrammetry’, Earth Surface Processes and Landforms, 42, pp. 355–364.
Eltner, A., P. Baumgart, H.-G. Maas, and D. Faust. 2015. ‘Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil’, Earth Surface Processes and Landforms, 40, pp. 741–755.
Fonstad, M.A., J.T. Dietrich, B.C. Courville, J.L. Jensen, and P.E. Carbonneau. 2013. ‘Topographic structure from motion: a new development in photogrammetric measurement’, Earth Surface Processes and Landforms, 38, pp. 421–430.
Geldart, E.A., A.F. Barnas, C.A.D. Semeniuk, H.G. Gilchrist, C.M. Harris, and O.P. Love. 2022. ‘A colonial-nesting seabird shows no heart-rate response to drone-based population surveys’, Science Reports, 12, p. 18804.
Guisado-Pintado, E., D.W.T. Jackson, and D. Rogers. 2019. ‘3D mapping efficacy of a drone and terrestrial laser scanner over a temperate beach-dune zone’, Geomorphology, 328, pp. 157–172.
Horricks, R.A., C. Bannister, L.M. Lewis-McCrea, J. Hicks, K. Watson, and G.K. Reid. 2022. ‘Comparison of drone and vessel-based collection of microbiological water samples in marine environments’, Environmental Monitoring and Assessment, 194, p. 439.
Jackisch, R., S. Lorenz, R. Zimmermann, R. Möckel, and R. Gloaguen. 2018. ‘Drone-borne hyperspectral monitoring of acid mine drainage: an example from the Sokolov Lignite district’, Remote Sensing, 10, p. 385.
Kalantar, B., S.B. Mansor, M.I. Sameen, B. Pradhan, and H.Z.M. Shafri. 2017. ‘Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis’, International Journal of Remote Sensing, 38, pp. 2535–2556.
Kasvi, E., J. Salmela, E. Lotsari, T. Kumpula, and S.N. Lane. 2019. ‘Comparison of remote sensing based approaches for mapping bathymetry of shallow, clear water rivers’, Geomorphology, 333, pp. 180–197.
Kellner, J.R., J. Armston, M. Birrer, K.C. Cushman, L. Duncanson, C. Eck, C. Falleger, B. Imbach, K. Král, M. Krůček, J. Trochta, T. Vrška, and C. Zgraggen. 2019. ‘New opportunities for forest remote sensing through ultra-high-density drone lidar’, Surveys in Geophysics, 40, pp. 959–977.
Krishnan, B.S., L.R. Jones, J.A. Elmore, S. Samiappan, K.O. Evans, M.B. Pfeiffer, B.F. Blackwell, and R.B. Iglay. 2023. ‘Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys’, Scientific Reports, 13, p. 10385.
Mohd Daud, S.M.S., M.Y.P. Mohd Yusof, C.C. Heo, L.S. Khoo, M.K. Chainchel Singh, M.S. Mahmood, and H. Nawawi. 2022. ‘Applications of drone in disaster management: A scoping review’, Science and Justice, 62, pp. 30–42.
Prior, E.M., C.A. Aquilina, J.A. Czuba, T.J. Pingel, and W.C. Hession. 2021. ‘Estimating floodplain vegetative roughness using drone-based laser scanning and structure from motion photogrammetry’, Remote Sensing, 13, p. 2616.
Schmucki, G., P. Bartelt, Y. Bühler, A. Caviezel, C. Graf, M. Marty, A. Stoffel, and C. Huggel. 2023. ‘Towards an automated acquisition and parametrization of debris-flow prone torrent channel properties based on photogrammetric-derived uncrewed aerial vehicle data’, Earth Surface Processes and Landforms, 48, pp. 1742–1764.
Shelare, S.D., K.R. Aglawe, S.N. Waghmare, and P.N. Belkhode. 2021. ‘Advances in water sample collections with a drone – A review’, Materials Today: Proceedings, 47, pp. 4490–4494.
Terada, A., Y. Morita, T. Hashimoto, T. Mori, T. Ohba, M. Yaguchi, and W. Kanda. 2018. ‘Water sampling using a drone at Yugama crater lake, Kusatsu-Shirane volcano, Japan’, Earth Planets Space, 70, p. 64.

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Uncrewed airborne systems

Export Metadata

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Metadata
Title	Uncrewed airborne systems
Contributor	Elina Kasvi(author)
DOI	https://doi.org/10.11647/obp.0418.45
Landing page	https://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.45
License	https://creativecommons.org/licenses/by-nc/4.0/
Copyright	Elina Kasvi;
Publisher	Open Book Publishers
Published on	2025-02-25
Long abstract	Uncrewed airborne systems (UAS) have become valuable tools for environmental research. They can be equipped with a variety of sensors, such as cameras and laser scanners, allowing researchers to perform low-cost close-range remote sensing surveys rapidly, accurately and relatively cost-efficiently. Effective and safe use of UAS requires specialized expertise in sensor operation, data analysis, and the regulatory frameworks, which may vary considerably depending on the country and region.
Page range	pp. 593–600
Print length	8 pages
Language	English (Original)

Locations

PDF

HTML

Publisher Website

References

Eltner, Hoffmeister, Kaiser, Karrasch, Klingbeil, Stöcker, Rovere (eds.) 2023. UAVs for the Environmental Sciences, Methods and Applications (Wissenschaftliche Buchgesellschaft, Darmstadt). ISBN: 978-3-534-40588-6, https://files.wbg-wissenverbindet.de/Files/Article/ARTK_ZOA_1028514_0003.pdf
Afshar-Mohajer, N. and C.-Y. Wu. 2023. ‘Use of a drone-based sensor as a field-ready technique for short-term concentration mapping of air pollutants: a modeling study’, Atmospheric Environment, 294.
D.R. Green, B.J. Gregory, A. Karachok (eds.) 2023. Unmanned Aerial Remote Sensing (UAS) for Environmental Applications (CRC Press).
Ancin-Murguzur, F.J., L. Munoz, C. Monz, and V.H. Hausner. 2020. ‘Drones as a tool to monitor human impacts and vegetation changes in parks and protected areas’, Remote Sensing in Ecology and Conservation, 6, pp. 105–113.
Braun, A., Chapter 39, this volume. ‘(Critical) Satellite remote sensing’.
Burgués, J. and S. Marco. 2023. ‘Drone-based monitoring of environmental gases’, in Air quality networks: Data Analysis, Calibration and Data Fusion, Environmental Informatics and Modeling, ed. by S. De Vito, K. Karatzas, A. Bartonova, and G. Fattoruso (Springer), pp. 115–137.
Dai, W., G. Zheng, G. Antoniazza, F. Zhao, K. Chen, W. Lu, and S.N. Lane. 2023. ‘Improving UAV-SfM photogrammetry for modelling high-relief terrain: Image collection strategies and ground control quantity’, Earth Surface Processes and Landforms, 48.14, pp. 2884–2899.
de Almeida, D.R.A., A.M. Almeyda Zambrano, E.N. Broadbent, A.L. Wendt, P. Foster, B.E. Wilkinson, C. Salk, D. Papa, S.C. Stark, R. Valbuena, E.B. Gorgens, C.A. Silva, P.H.S. Brancalion, M. Fagan, P. Meli, and R. Chazdon. 2020. ‘Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar’, Biotropica, 52, pp. 1155–1167.
de Keukelaere, L., R. Moelans, E. Knaeps, S. Sterckx, I. Reusen, D. de Munck, S.G.H. Simis, A.M. Constantinescu, A. Scrieciu, G. Katsouras, W. Mertens, P.D. Hunter, E. Spyrakos, and A. Tyler. 2023. ‘Airborne drones for water quality mapping in inland, transitional and coastal waters—MapEO water data processing and validation’, Remote Sensing, 15, p. 1345.
Dietrich, J.T. 2017. ‘Bathymetric Structure-from-Motion: Extracting shallow stream bathymetry from multi-view stereo photogrammetry’, Earth Surface Processes and Landforms, 42, pp. 355–364.
Eltner, A., P. Baumgart, H.-G. Maas, and D. Faust. 2015. ‘Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil’, Earth Surface Processes and Landforms, 40, pp. 741–755.
Fonstad, M.A., J.T. Dietrich, B.C. Courville, J.L. Jensen, and P.E. Carbonneau. 2013. ‘Topographic structure from motion: a new development in photogrammetric measurement’, Earth Surface Processes and Landforms, 38, pp. 421–430.
Geldart, E.A., A.F. Barnas, C.A.D. Semeniuk, H.G. Gilchrist, C.M. Harris, and O.P. Love. 2022. ‘A colonial-nesting seabird shows no heart-rate response to drone-based population surveys’, Science Reports, 12, p. 18804.
Guisado-Pintado, E., D.W.T. Jackson, and D. Rogers. 2019. ‘3D mapping efficacy of a drone and terrestrial laser scanner over a temperate beach-dune zone’, Geomorphology, 328, pp. 157–172.
Horricks, R.A., C. Bannister, L.M. Lewis-McCrea, J. Hicks, K. Watson, and G.K. Reid. 2022. ‘Comparison of drone and vessel-based collection of microbiological water samples in marine environments’, Environmental Monitoring and Assessment, 194, p. 439.
Jackisch, R., S. Lorenz, R. Zimmermann, R. Möckel, and R. Gloaguen. 2018. ‘Drone-borne hyperspectral monitoring of acid mine drainage: an example from the Sokolov Lignite district’, Remote Sensing, 10, p. 385.
Kalantar, B., S.B. Mansor, M.I. Sameen, B. Pradhan, and H.Z.M. Shafri. 2017. ‘Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis’, International Journal of Remote Sensing, 38, pp. 2535–2556.
Kasvi, E., J. Salmela, E. Lotsari, T. Kumpula, and S.N. Lane. 2019. ‘Comparison of remote sensing based approaches for mapping bathymetry of shallow, clear water rivers’, Geomorphology, 333, pp. 180–197.
Kellner, J.R., J. Armston, M. Birrer, K.C. Cushman, L. Duncanson, C. Eck, C. Falleger, B. Imbach, K. Král, M. Krůček, J. Trochta, T. Vrška, and C. Zgraggen. 2019. ‘New opportunities for forest remote sensing through ultra-high-density drone lidar’, Surveys in Geophysics, 40, pp. 959–977.
Krishnan, B.S., L.R. Jones, J.A. Elmore, S. Samiappan, K.O. Evans, M.B. Pfeiffer, B.F. Blackwell, and R.B. Iglay. 2023. ‘Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys’, Scientific Reports, 13, p. 10385.
Mohd Daud, S.M.S., M.Y.P. Mohd Yusof, C.C. Heo, L.S. Khoo, M.K. Chainchel Singh, M.S. Mahmood, and H. Nawawi. 2022. ‘Applications of drone in disaster management: A scoping review’, Science and Justice, 62, pp. 30–42.
Prior, E.M., C.A. Aquilina, J.A. Czuba, T.J. Pingel, and W.C. Hession. 2021. ‘Estimating floodplain vegetative roughness using drone-based laser scanning and structure from motion photogrammetry’, Remote Sensing, 13, p. 2616.
Schmucki, G., P. Bartelt, Y. Bühler, A. Caviezel, C. Graf, M. Marty, A. Stoffel, and C. Huggel. 2023. ‘Towards an automated acquisition and parametrization of debris-flow prone torrent channel properties based on photogrammetric-derived uncrewed aerial vehicle data’, Earth Surface Processes and Landforms, 48, pp. 1742–1764.
Shelare, S.D., K.R. Aglawe, S.N. Waghmare, and P.N. Belkhode. 2021. ‘Advances in water sample collections with a drone – A review’, Materials Today: Proceedings, 47, pp. 4490–4494.
Terada, A., Y. Morita, T. Hashimoto, T. Mori, T. Ohba, M. Yaguchi, and W. Kanda. 2018. ‘Water sampling using a drone at Yugama crater lake, Kusatsu-Shirane volcano, Japan’, Earth Planets Space, 70, p. 64.