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Village Mapping for Micro-level Planning Using UAV Technology

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Drone Data Analytics in Aerial Computing

Abstract

High-resolution digital maps can be prepared and updated using drones or Unmanned Aerial Vehicle (UAV). Compared to satellite imagery, UAV mapping is considered to be cost-effective and an accurate method. As the altitude from ground level is less in case of drones and with the help of high-resolution cameras, it’s easy to build 2D and 3D maps with accuracy in centimetres. Drone mapping from aerial survey conducted by specialized drone instrument can also include LiDAR, thermal or multispectral and RGB (for photogrammetry). Previous studies state that compared to manual methods of data collection, drone mapping data are collected 90% faster. To extract valuable information like creating an assets map, 3D models, 2D maps and DEM (Digital Elevation Model), the drone collected data can be processed through drone mapping software. Photogrammetry is one of the most widely used methods in drone mapping, using which the cadastral maps can be prepared. Images procured using drones need to be pre-processed and stitched together using the workstation software to create digital 3D models of the real world. An ortho image provides 2D top-down map of the region whereas the stereoscopic image provides all three dimensions of the features in the region. A 3D Point including information such as Latitude, Longitude and elevations from datum level is a digital representation of the survey area. When combined, they build a fleshed out 3D model. For preparing denser 3D models more points need to be collected, and are ideal for project progress. This chapter mainly discusses about the accuracy, applications and data processing methods with a case study in preparing village map from high-resolution drone images.

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References

  • Bonali FL, Tibaldi A, Marchese F, Fallati L, Russo E, Corselli C, Savini A (2019) UAV-based surveying in volcano-tectonics: an example from the Iceland rift. J Struct Geol 121:46–64. https://doi.org/10.1016/j.jsg.2019.02.004

  • Giordan D, Adams MS, Aicardi I, Alicandro M, Allasia P, Baldo M, De Berardinis P, Dominici D, Godone D, Hobbs P, Lechner V, Niedzielski T, Piras M, Rotilio M, Salvini R, Segor V, Sotier B, Troilo F (2020) The use of unmanned aerial vehicles (UAVs) for engineering geology applications. Bull Eng Geol Env 79:3437–3481. https://doi.org/10.1007/s10064-020-01766-2

  • Gopalan AKS (2010) High resolution imagery for developmental planning. Geospatial World, 12/07/2010

    Google Scholar 

  • Iizuka K, Itoh M, Shiodera S, Matsubara T, Dohar M, Watanabe K (2018) Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: a case study of post mining sites in Indonesia. Cogent Geosci 4(1). https://doi.org/10.1080/23312041.2018.1498180

  • Kaamin M, Razali SNM, Ahmad NFA, Bukari SM, Ngadiman N, Kadir AA, Hamid NB (2017) The application of micro UAV in construction project. AIP Conf Proc 1891:020070. https://doi.org/10.1063/1.5005403

  • Orengo HA, Garcia-Molsosa A (2019) A brave new world for archaeological survey: automated machine learning-based potsherd detection using high-resolution drone imagery‖. J Archaeol Sci 112:105013. https://doi.org/10.1016/j.jas.2019.105013

  • Pandey W, Tripathi G (2020) Development of a smart village through micro‐level planning using geospatial techniques–a case study of Jangal Aurahi village of Gorakhpur district. In: Sustainable development practices using geoinformatics. https://doi.org/10.1002/9781119687160.ch6

  • Pugliese P, Guerriero F, Laporte G (2020) Drone-aided routing: a literature review. Transp Res Part C Emerg Technol 120:102762. https://doi.org/10.1016/j.trc.2020.10276

  • Radoglou-Grammatikis P, Sarigiannidis P, Lagkas T, Moscholios I (2020) A compilation of UAV applications for precision agriculture. Comput Netw 172(8):107148. https://doi.org/10.1016/j.comnet.2020.107148

  • Yao H, Qin R, Chen X (2019) Unmanned aerial vehicle for remote sensing applications—a review. Remote Sens 11(12):1443. https://doi.org/10.3390/rs11121443

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Correspondence to K. Gajalakshmi .

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Gajalakshmi, K., Anantharama, V., Anala, M.R. (2023). Village Mapping for Micro-level Planning Using UAV Technology. In: Karthikeyan, P., Kumar, S., Anbarasu, V. (eds) Drone Data Analytics in Aerial Computing. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-5056-0_12

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