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Research Article

Accuracy assessment of RTK/PPK UAV-photogrammetry projects using differential corrections from multiple GNSS fixed base stations

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Article: 2197507 | Received 05 Apr 2022, Accepted 27 Mar 2023, Published online: 03 Apr 2023

References

  • Aber JS, Marzolff I, Ries JB. 2010. Small-format aerial photography. Amsterdam, Netherlands: Elsevier.
  • Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P. 2016. Accuracy of digital surface models and orthophotos derived from unmanned aerial vehicle photogrammetry. J Surv Eng. 143:04016025.
  • Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P. 2017. Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle. Measurement. 98:221–227.
  • Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P, Sánchez-Hermosilla López J, Mesas-Carrascosa FJ, García-Ferrer A, Pérez-Porras FJ. 2018. Reconstruction of extreme topography from UAV structure from motion photogrammetry. Measurement. 121:127–138.
  • Akar Ö. 2018. The rotation forest algorithm and object-based classification method for land use mapping through UAV images. Geocarto Int. 33(5):538–553.
  • Blistan P, Jacko S, Kovanič Ľ, Kondela J, Pukanská K, Bartoš K. 2020. Tls and Sfm approach for bulk density determination of excavated heterogeneous raw materials. Minerals. 10(2):174.
  • Brunier G, Michaud E, Fleury J, Anthony EJ, Morvan S, Gardel A. 2020. Assessing the relationship between macro-faunal burrowing activity and mudflat geomorphology from UAV-based structure-from-motion photogrammetry. Remote Sens Environ. 241:111717.
  • Canh L, VAN C, Xuan Cuong N, Quoc Long L, Thi Thu Ha T, Trung Anh, X, Nam Bui. 2020. Experimental investigation on the performance of DJI phantom 4 RTK in the PPK mode for 3d mapping open-pit mines. Inz Miner. 1(1):65–74.
  • Carvajal-Ramírez F, Navarro-Ortega AD, Agüera-Vega F, Martínez-Carricondo P, Mancini F. 2019. Virtual reconstruction of damaged archaeological sites based on unmanned aerial vehicle photogrammetry and 3D modelling. Study case of a Southeastern Iberia production area in the Bronze Age. Measurement. 136:225–236.
  • Carvajal-Ramírez F, da Silva JRM, Agüera-Vega F, Martínez-Carricondo P, Serrano J, Jesús Moral F. 2019. Evaluation of fire severity indices based on pre- and post-fire multispectral imagery sensed from UAV. Remote Sens. 11:993.
  • Cledat E, Jospin LV, Cucci DA, Skaloud J. 2020. Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment. ISPRS J Photogramm Remote Sens. 167:24–38.
  • Doumit JA. 2019. Structure from motion technology for historic building information modeling of Toron fortress (Lebanon). In Proc. Int. Conf. InterCarto, InterGIS (vol. 25).
  • Ekaso D, Nex F, Kerle N. 2020. Accuracy assessment of real-time kinematics (RTK) measurements on Unmanned Aerial Vehicles (UAV) for direct geo-referencing. Geo-Spatial Inform Sci. 23(2):165–181.
  • Eker R, Alkan E, Aydın A. 2021. A comparative analysis of UAV-RTK and UAV-PPK methods in mapping different surface types. Eur J For Eng. 7(1):12–25.
  • Elkhrachy I. 2021. Accuracy assessment of low-cost Unmanned Aerial Vehicle (UAV) photogrammetry. Alex Eng J. 60(6):5579–5590.
  • Eltner A, Mulsow C, Maas HG. 2013. Quantitative measurement of soil erosion from tls and UAV data. Int Arch Photogramm Remote Sens Spatial Inform Sci. XL-1/W20:119–124.
  • Famiglietti NA, Cecere G, Grasso C, Memmolo A, Vicari A. 2021. A test on the potential of a low cost unmanned aerial vehicle Rtk/Ppk solution for precision positioning. Sensors. 21(11):3882.
  • Fernando P, Carvajal-Ram F, Mart P, Garc A. 2018. Drift correction of lightweight microbolometer thermal sensors on-board unmanned aerial vehicles. Remote Sens. 10:615.
  • Ferrer-González E, Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P. 2020. UAV photogrammetry accuracy assessment for corridor mapping based on the number and distribution of ground control points. Remote Sens. 12(15):2447.
  • Forlani G, Diotri F, Morra Di Cella U, Roncella R. 2020. UAV block georeferencing and control by on-board GNSS data. Int Arch Photogramm Remote Sens Spatial Inform Sci. 43:9–16.
  • Forlani G, Asta ED, Diotri F, Morra U, Roncella R, Santise M. 2018. Quality assessment of DSMs produced from UAV flights georeferenced with on-board RTK positioning. Remote Sens. 10:311.
  • Gerke M, Nex F, Remondino F, Jacobsen K, Kremer J, Karel W, Huf H, Ostrowski W. 2016. Orientation of oblique airborne image sets - experiences from the ISPRS/Eurosdr benchmark on multi-platform photogrammetry. Int Arch Photogramm Remote Sens Spatial Inform Sci Arch. 2016
  • Gerke M, Przybilla HJ. 2016. Accuracy analysis of photogrammetric UAV image blocks: influence of onboard RTK-GNSS and cross flight patterns. Photogrammetr Fernerkund Geoinform. 2016(1):1730.
  • Grenzdörffer GJ, Engel A, Teichert B. 2008. The photogrammetric potential of low-cost UAVs in forestry and agriculture. Int Arch Photogramm Remote Sens Spatial Inform Sci. 31(B3):1207–1214.
  • Hartling S, Sagan V, Maimaitijiang M. 2021. Urban tree species classification using UAV-based multi-sensor data fusion and machine learning. GIScience Remote Sens. 58(8):1250–1275.
  • Huang CY, Wei HL, Rau JY, Jhan JP. 2019. Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature cegetation FAPAR. GIScience Remote Sens. 56(4):605–623.
  • Hugenholtz C, Brown O, Walker J, Barchyn T, Nesbit P, Kucharczyk M, Myshak S. 2016. Spatial accuracy of UAV-derived orthoimagery and topography: comparing photogrammetric models processed with direct geo-referencing and ground control points. Geomatica. 70:21–30.
  • Jaud M, Passot S, Bivic RL, Delacourt C, Grandjean P, Dantec NL. 2016. Assessing the accuracy of high resolution digital surface models computed by PhotoScan® and MicMac® in sub-optimal survey conditions. Remote Sens. 8(6):465.
  • Jon J, Koska B, Pospíšil J. 2013. Autonomous airship equipped by multi-sensor mapping platform. Int Arch Photogramm Remote Sens Spatial Inform Sci. 40:119–124.
  • Kamal WA, Samar R. 2008. A mission planning approach for UAV applications. Proceedings of the IEEE Conference on Decision and Control. p. 3101–3106.
  • Kanistras K, Martins G, Rutherford MJ, Valavanis KP. 2015. Survey of unmanned aerial vehicles (UAVS) for traffic monitoring. Handbook of unmanned aerial vehicles. Dordrecht, Netherlands: Springer Netherlands.
  • Koska B, Křemen T. 2013. The combination of laser scanning and structure from motion technology for creation of accurate exterior and interior orthophotos of st. Nicholas Baroque church. Int Arch Photogramm Remote Sens Spatial Inform Sci. XL-5/W1:133–138.
  • Křemen T. 2019. Measurement and documentation of St. Spirit church in liběchov. Advances and Trends in Geodesy, Cartography and Geoinformatics II - Proceedings of the 11th International Scientific and Technical Conference on Geodesy, Cartography and Geoinformatics, GCG 2019.
  • Kršák B, Blišťan P, Pauliková A, Puškárová P, Kovanič L, Palková J, Zelizňaková V. 2016. Use of low-cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Measur J Int Measur Confed. 91:276–287.
  • Liu PAY, Chen YN, Huang JY, Han JS, Lai SC, Kang TH, Wu MC, Wen Meng-Han Tsai. 2014. A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering. Smart Struct Syst. 13(6):1065–1094.
  • Losè L, Teppati F, Chiabrando, F, Giulio Tonolo. 2020. Boosting the timeliness of UAV large scale mapping. Direct georeferencing approaches: operational strategies and best practices. ISPRS Int J Geo-Inform. 9(10):578.
  • Martin RA, Rojas I, Franke K, Hedengren JD. 2016. Evolutionary view planning for optimized UAV terrain modeling in a simulated environment. Remote Sens. 8:26.
  • Martínez-Carricondo P, Francisco Agüera-Vega Fernando Carvajal-Ramírez FJ, Mesas-Carrascosa A, García-Ferrer, FJ, Pérez-Porras. 2018. Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points. Int J Appl Earth Observ Geoinform. 72:1–10.
  • Martínez-Carricondo P, Carvajal-Ramírez F, Yero-Paneque L, Agüera-Vega F. 2019. Combination of nadiral and oblique UAV photogrammetry and HBIM for the virtual reconstruction of cultural heritage. Case study of Cortijo Del Fraile in Níjar, Almería (Spain). Build Res Inform. 48(2):140–159.
  • Meinen BU, Robinson DT. 2020. Mapping erosion and deposition in an agricultural landscape: optimization of UAV image acquisition schemes for SfM-MVS. Remote Sens Environ. 239:111666.
  • Mirjam Bilker H, Eija, J, Juha. 1998. GPS supported aerial triangulation using untargeted ground control. Int Arch Photogramm Remote Sens. 32.
  • Navarro A, Young M, Allan B, Carnell P, Macreadie P, Ierodiaconou D. 2020. The application of unmanned aerial vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems. Remote Sens Environ. 242:111747.
  • Nesbit PR, Hugenholtz CH. 2019. Enhancing UAV-SfM 3D model accuracy in high-relief landscapes by incorporating oblique images. Remote Sens. 11(3):239.
  • Padró JC, Javier Muñoz F, Planas J, Pons X. 2019. Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms. Int J Appl Earth Observ Geoinform. 75:130–140.
  • Park S, Choi Y. 2020. Applications of unmanned aerial vehicles in mining from exploration to reclamation: a review. Minerals. 10(8):663.
  • Pavlidis G, Koutsoudis A, Arnaoutoglou F, Tsioukas V, Chamzas C. 2007. Methods for 3D digitization of cultural heritage. J Cult Heritage. 8(1):93–98.
  • Peppa MV, Hall J, Goodyear J, Mills JP. 2019. Photogrammetric assessment and comparison of Dji phantom 4 pro and phantom 4 Rtk small unmanned aircraft systems. Int Arch Photogramm Remote Sens Spatial Inform Sci. 42:503–509.
  • Pérez JA, Gonçalves GR, Charro MC. 2019. On the positional accuracy and maximum allowable scale of UAV-derived photogrammetric products for archaeological site documentation. Geocarto Int. 34(6):575–585.
  • Piras M, Taddia G, Forno MG, Gattiglio M, Aicardi I, Dabove P, Russo SL, Lingua A. 2017. Detailed geological mapping in mountain areas using an unmanned aerial vehicle: application to the Rodoretto Valley, NW Italian Alps. Geomatics Nat Hazards Risk. 8:137–149.
  • Puliti S, Theodor Ene L, Gobakken T, Næsset E. 2017. Use of partial-coverage UAV data in sampling for large scale forest inventories. Remote Sens Environ. 194:115–126.
  • Püschel H, Sauerbier M, Eisenbeiss H. 2008. A 3D model of castle landenberg (CH) from combined photogrametric processing of terrestrial and UAV based images. Int Arch Photogramm Remote Sens. Spat Inf Sci.
  • Quoc Long N, Goyal R, Khac Luyen B, VAN Canh L, Xuan Cuong C, VAN Chung P, Ngoc Quy B, Bui XN. 2020. Influence of flight height on the accuracy of UAV derived digital elevation model at complex terrain. Inż Miner. 45:179–187.
  • Salvo G, Caruso L, Scordo A. 2014. Urban traffic analysis through an UAV. Proc Soc Behav Sci. 111:1083–1091.
  • Sankey JB, Temuulen T, Sankey J, Li S, Ravi G, Wang J, Caster, A, Kasprak. 2021. Quantifying plant-soil-nutrient dynamics in rangelands: fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland. Remote Sens Environ. 253:112223.
  • Santise M, Fornari M, Forlani G, Roncella R. 2014. Evaluation of dem generation accuracy from UAS imagery. Int Arch Photogramm Remote Sens Spatial Inform Sci. 40:333–337.
  • Sanz-Ablanedo Enoc Jim Chandler J, Rodríguez-Pérez C, Ordóñez Enoc Sanz-Ablanedo, JH, Chandler, Rodríguez-Pérez JR, Ordóñez C. 2018. Accuracy of Unmanned Aerial Vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used. Remote Sens. 10(10):1606.
  • Snavely N, Seitz SM, Szeliski R. 2008. Modeling the world from internet photo collections. Int J Comput Vis. 80(2):189–210.
  • Sona G, Pinto L, Pagliari D, Passoni D, Gini R. 2014. Experimental analysis of different software packages for orientation and digital surface modelling from UAV images. Earth Sci Inform. 7(2):97–107.
  • Stefanik K, Gassaway J, Kochersberger K, Abbott A. 2011. UAV-based stereo vision for rapid aerial terrain mapping. GIScience Remote Sens. 48(1):24–49.
  • Štroner M, Urban R, Reindl T, Jan S, Josef B. 2020. Evaluation of the georeferencing accuracy of a photogrammetric model using a quadrocopter with onboard GNSS RTK. Sensors (Switzerland). 20(8):2318.
  • Štroner M, Urban R, Seidl J, Reindl T, Brouček J. 2021. Photogrammetry using UAV-mounted GNSS RTK: georeferencing strategies without GCPs. Remote Sensing. 13(7):1336.
  • Taddia Y, Stecchi F, Pellegrinelli A. 2020. Coastal mapping using dji phantom 4 RTK in post-processing kinematic mode. Drones. 4(2):9.
  • Tahar KN, Kamarudin SS. 2016. UAV onboard GPS in positioning determination. Int Arch Photogramm Remote Sens Spatial Inform Sci. XLI-B1.
  • Themistocleous K, Agapiou A, Hadjimitsis D. 2016. 3D documentation and BIM modeling of cultural heritage structures using UAVS: the case of the Foinikaria Church. Int Arch Photogramm Remote Sens Spatial Inform Sci. XLII-2/W:45–49.
  • Tian J, Wang L, Li X, Gong H, Shi C, Zhong R, Liu X. 2017. Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest. Int J Appl Earth Observ Geoinform. 61:22–31.
  • Tomaštík J, Mokroš M, Surový P, Grznárová A, Merganič J. 2019. UAV RTK/PPK method-an optimal solution for mapping inaccessible forested areas? Remote Sens. 11(6):721.
  • Türk T, Tunalioglu N, Erdogan B, Ocalan T, Gurturk M. 2022. Accuracy assessment of UAV-post-processing kinematic (PPK) and UAV-traditional (with ground control points) georeferencing methods. Environ Monitor Assess. 194(7):476.
  • Urban R, Štroner M, Kuric I. 2020. The use of onboard UAV Gnss navigation data for area and volume calculation. Acta Mont Slovac. 25(3):361–374.
  • Vacca G, Dessì A, Sacco A. 2017. The use of nadir and oblique UAV images for building knowledge. ISPRS Int J Geo-Inform. 6(12):393.
  • Varbla S, Puust R, Ellmann A. 2020. Accuracy assessment of RTK-GNSS equipped UAV conducted as-built surveys for construction site modelling. Survey Rev. 53:477–492.
  • Vasuki Y, Holden EJ, Kovesi P, Micklethwaite S. 2014. Semi-automatic mapping of geological structures using UAV-based photogrammetric data: an image analysis approach. Comput Geosci. 69:22–32.
  • Yao H, Qin R, Chen X. 2019. Unmanned aerial vehicle for remote sensing applications - a review. Remote Sens. 11:1443.
  • Yuan C, Zhang Y, Liu Z. 2015. A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques. Can J For Res. 45:150312143318009.
  • Žabota B, Kobal M. 2021. Accuracy assessment of UAV-photogrammetric-derived products using PPK and GCPS in challenging terrains: in search of optimized rockfall mapping. Remote Sens. 13(19):3812.
  • Zeybek M. 2021. Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods. Meas Sci Technol. 32(6):065402.
  • Zeybek M, Serkan B. 2021. 3D dense reconstruction of road surface from UAV images and comparison of SfM based software performance. Turk J Remote Sens GIS.
  • Zhang H, Aldana-Jague E, Clapuyt F, Wilken F, Vanacker V, Van Oost K. 2019. Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure-from-motion (SfM) photogrammetry and surface change detection. Earth Surf Dyn. 7(3):807–827.