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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
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
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-981-99-5056-0_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-5055-3
Online ISBN: 978-981-99-5056-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)