Abstract
Geography has been fundamentally altered by the development, proliferation, and maturation of small unoccupied aerial systems (sUAS). sUAS range from ultra-small, low-cost systems that provide simple still imagery used for qualitative analysis to expensive, technologically advanced systems that provide data with high spatial, temporal, and spectral resolutions. This chapter introduces and provides a brief background on how the sUAS revolution has broadly affected Geography. Background topics discussed include how sUAS fit among allied technologies like satellite-based remote sensing; the power of sUAS to increase spatial, temporal, and spectral resolution of imagery and image-derived data; the pros and cons of sUAS methodology and tools; and legal and practical considerations for sUAS operation. Book chapter contributions are then examined, before the future outlook of sUAS in Geography and allied disciplines is discussed. This chapter emphasizes that sUAS have brought on an era of “personal” or “on-demand” remote sensing, which has been and will continue to be critical for scholarly and research activities in Geography.
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References
Anderson K, Westoby MJ, James MR (2019) Low-budget topographic surveying comes of age: structure from motion photogrammetry in geography and the geosciences. Prog Phys Geogr Earth Environ 43:163–173
Armstrong MP, Wang S, Zhang Z (2019) The internet of things and fast data streams: prospects for geospatial data science in emerging information ecosystems. Cartogr Geogr Inf Sci 46(1):39–56
Bimbraw K (2015, July) Autonomous cars: past, present and future a review of the developments in the last century, the present scenario and the expected future of autonomous vehicle technology. In: 2015 12th international conference on informatics in control, automation and robotics (ICINCO), vol 1. IEEE, pp 191–198
Boike J, Yoshikawa K (2003) Mapping of periglacial geomorphology using kite/balloon aerial photography. Permafr Periglac Process 14(1):81–85
Carter, Trevor G., et al. (2018) Innovative use of GIS and drone photogrammetry for cliff stability modelling. Proceedings of the Institution of Civil Engineers-maritime engineering. Vol. 171. No. 3. Thomas Telford Ltd
Chen W, Liu J, Guo H, Kato N (2020) Toward robust and intelligent drone swarm: challenges and future directions. IEEE Netw 34(4):278–283
Giordan D, Manconi A, Remondino F, Nex F (2017) Use of unmanned aerial vehicles in monitoring application and management of natural hazards. Geomat Nat Haz Risk 8:1–4
Goodchild MF (1991) The technological setting of GIS. J Environ Sci (China) English Ed 45–54
Goodchild MF (2011) Scale in GIS: an overview. Geomorphology 130(1–2):5–9
Green DR (ed) (2020) Unmanned aerial remote sensing: UAS for environmental applications. CRC Press
Kim JJ, Kim I, Hwang J (2021) A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. Int J Hosp Manag 93:102758
Lemmens M (2011) Terrestrial laser scanning. In: Geo-information. Springer, Dordrecht, pp 101–121
Lewis QW, Park E (2018) Volunteered geographic videos in physical geography: data mining from YouTube. Ann Am Assoc Geogr 108(1):52–70
Lewis QW, Lindroth EM, Rhoads BL (2018) Integrating unmanned aerial systems and LSPIV for rapid, cost-effective stream gauging. J Hydrol 560:230–246
Lewis QW, Edmonds DA, Yanites BJ (2020) Integrated UAS and LiDAR reveals the importance of land cover and flood magnitude on the formation of incipient chute holes and chute cutoff development. Earth Surf Process Landf 45(6):1441–1455
Lloyd CD (2014) Exploring spatial scale in geography. Wiley
Lucieer VL, Forrest AL (2016) Emerging mapping techniques for autonomous underwater vehicles (AUVs). In: Seafloor mapping along continental shelves. Springer, Cham, pp 53–67
Lulla K (1983) The Landsat satellites and selected aspects of physical geography. Prog Phys Geogr 7(1):1–45
Martínez-Díaz M, Soriguera F (2018) Autonomous vehicles: theoretical and practical challenges. Transport Res Proc 33:275–282
Masek JG, Wulder MA, Markham B, McCorkel J, Crawford CJ, Storey J, Jenstrom DT (2020) Landsat 9: empowering open science and applications through continuity. Remote Sens Environ 248:111968
Nagrare SR et al (2021) Decentralized path planning approach for crowd surveillance using drones. In: 2021 international conference on unmanned aircraft systems (ICUAS). IEEE
Natesan S, Armenakis C, Benari G, Lee R (2018) Use of UAV-borne spectrometer for land cover classification. Drones 2(2):16
Paine DP, Kiser JD (2012) Aerial photography and image interpretation. Wiley
Petillot YR, Antonelli G, Casalino G, Ferreira F (2019) Underwater robots: from remotely operated vehicles to intervention-autonomous underwater vehicles. IEEE Robot Autom Mag 26(2):94–101
PytlikZillig LM et al (2018) A drone by any other name: purposes, end-user trustworthiness, and framing, but not terminology, affect public support for drones. IEEE Technol Soc Mag 37(1):80–91
Sarkis J (2020) Supply chain sustainability: learning from the COVID-19 pandemic. Int J Oper Prod Manag 41:63–73
Shahmoradi J, Talebi E, Roghanchi P, Hassanalian M (2020) A comprehensive review of applications of drone technology in the mining industry. Drones 4(3):34
Song BD, Ko YD (2017) Quantitative approaches for economic use of emerging technology in the tourism industry: unmanned aerial vehicle systems. Asia Pac J Tour Res 22:1–14
Stanković M, Mirza MM, Karabiyik U (2021) UAV forensics: DJI mini 2 case study. Drones 5(2):49
Stöcker C, Bennett R, Nex F, Gerke M, Zevenbergen J (2017) Review of the current state of UAV regulations. Remote Sens 9(5):459
Tanzi TJ, Chandra M, Isnard J, Camara D, Sébastien O, Harivelo F (2016, July) Towards “drone-borne” disaster management: future application scenarios. In: XXIII ISPRS congress, commission VIII (volume III-8), vol 3. Copernicus GmbH, pp 181–189
Visser F, Woodget A, Skellern A, Forsey J, Warburton J, Johnson R (2019) An evaluation of a low-cost pole aerial photography (PAP) and structure from motion (SfM) approach for topographic surveying of small rivers. Int J Remote Sens 40(24):9321–9351
Waibel M, Keays B, Augugliaro F (2017) Drone shows: creative potential and best practices. ETH Zurich
Wood SA, Robinson PW, Costa DP, Beltran RS (2021) Accuracy and precision of citizen scientist animal counts from drone imagery. PLoS One 16(2):e0244040
Woodget AS, Fyffe C, Carbonneau PE (2018) From manned to unmanned aircraft: adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM. Earth Surf Process Landf 43(4):857–870
Wynn RB, Huvenne VA, Le Bas TP, Murton BJ, Connelly DP, Bett BJ et al (2014) Autonomous Underwater Vehicles (AUVs): their past, present and future contributions to the advancement of marine geoscience. Mar Geol 352:451–468
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Lewis, Q., Konsoer, K., Leitner, M. (2022). How sUAS Has Pushed Forward On-Demand Low Altitude Remote Sensing in Geography. In: Konsoer, K., Leitner, M., Lewis, Q. (eds) sUAS Applications in Geography . Geotechnologies and the Environment, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-031-01976-0_1
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