Developing innovative and cost-effective UAS-PPK module for generating high-accuracy digital surface model

Cheng-Hao Lu, Sheng-Ta Tsai, Ming‐Tien Wu, Di-Yi Lin

Tóm tắt

AbstractTraditional indirect georeferencing requires time-consuming and labor-intensive field surveys to obtain ground control points (GCPs), making it challenging to apply in high-risk areas with limited accessibility. This study proposes a novel and low-cost system for direct georeferencing using unmanned aerial system post-processing kinematics (UAS-PPK), which is less than a quarter of the price of commercially available products. To evaluate the accuracy of the aerial surveys of the custom-built module and digital surface models, we used 15 checkpoints (CPs) and 99 validation points (VPs). The results showed that this UAS-PPK module could deliver high-precision aerial surveys with a root mean square error (RMSE) of less than 4 cm for three dimensions without using control points. After adding one GCP, the RMSE of three dimensions was close to that of traditional aerial survey methods using 12 GCPs, having a vertical accuracy of 2.51 cm. The same 99 VPs were used to evaluate the accuracy of the digital surface model produced using UAS-PPK. The results showed that the accuracy was close to that of traditional aerial survey methods, having an average error of less than 3 cm. We demonstrated the self-made attachable UAS-PPK module to be a reliable and accurate survey tool in geoscience applications.

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Tài liệu tham khảo

Agisoft (2018) Agisoft photoscan user manual: professional edition. Version 1.4

Aicardi I, Nex F, Gerke M, Lingua AM (2016) An image-based approach for the co-registration of multi-temporal UAV image datasets. Remote Sens. https://doi.org/10.3390/rs8090779

Bastos A, Ponte Lira C, Calvão J, Catalao J, Andrade C, Pereira AJ, Taborda R, Rato D, Pinho P, Correia O (2018) UAV derived information applied to the study of slow-changing morphology in dune systems. J Coast Res. https://doi.org/10.2112/SI85-046.1

Bearzot F, Garzonio R, Di Mauro B, Colombo R, Cremonese E, Crosta GB, Delaloye R, Hauck C, Morra Di Cella U, Pogliotti P, Frattini P, Rossini M (2022) Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data. Geomorphology 402:108116. https://doi.org/10.1016/j.geomorph.2022.108116

Bon de Sousa L, Costas S, Ferreira Ó (2022) Effect of survey parameters on unmanned aerial vehicles-derived topography for coastal dune monitoring. J Appl Remote Sens 16(3):034513

Brunier G, Fleury J, Anthony EJ, Gardel A, Dussouillez P (2016) Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: examples from an embayed rotating beach. Geomorphology 261:76–88. https://doi.org/10.1016/j.geomorph.2016.02.025

Casella E, Rovere A, Pedroncini A, Stark CP, Casella M, Ferrari M, Firpo M (2016) Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean). Geo-Mar Lett 36(2):151–163. https://doi.org/10.1007/s00367-016-0435-9

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. https://doi.org/10.1016/j.isprsjprs.2020.05.015

David CG, Schlurmann T (2020) Hydrodynamic drivers and morphological responses on small coral islands—the thoondu spit on Fuvahmulah, the Maldives. Front Mar Sci. https://doi.org/10.3389/fmars.2020.538675

David CG, Kohl N, Casella E, Rovere A, Ballesteros P, Schlurmann T (2021) Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry. Coral Reefs 40(3):835–851. https://doi.org/10.1007/s00338-021-02088-9

de Haas T, Nijland W, McArdell BW, Kalthof MWML (2021) Case report: optimization of topographic change detection with UAV structure-from-motion photogrammetry through survey co-alignment. Front Remote Sens. https://doi.org/10.3389/frsen.2021.626810

Eker R, Aydın A (2021) Long-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: the case of Devrek landslide (NW Turkey). CATENA 196:104895. https://doi.org/10.1016/j.catena.2020.104895

Fazeli H, Samadzadegan F, Dadrass Javan F (2016) Evaluating the potential of RTK-UAV for automatic point cloud generation in 3D rapid mapping. Int Arch Photogramm Remote Sens Spat Inf Sci. https://doi.org/10.5194/isprsarchives-XLI-B6-221-2016

Fonstad MA, Marcus WA (2010) High resolution, basin extent observations and implications for understanding river form and process. Earth Surf Process Landf 35(6):680–698. https://doi.org/10.1002/esp.1969

Fonstad MA, Dietrich JT, Courville BC, Jensen JL, Carbonneau PE (2013) Topographic structure from motion: a new development in photogrammetric measurement. Earth Surf Process Landf 38(4):421–430. https://doi.org/10.1002/esp.3366

Forlani G, Dall’Asta E, Diotri F, Cella UMD, Roncella R, Santise M (2018) Quality assessment of DSMs produced from UAV flights georeferenced with on-board RTK positioning. Remote Sens. https://doi.org/10.3390/rs10020311

Gabrlik P, la Cour-Harbo A, Kocmanova P, Zalud L, Janata P (2018) Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry. Int J Remote Sens 39:1–29. https://doi.org/10.1080/01431161.2018.1434331

Gonçalves JA, Henriques R (2015) UAV photogrammetry for topographic monitoring of coastal areas. ISPRS J Photogramm Remote Sens 104:101–111. https://doi.org/10.1016/j.isprsjprs.2015.02.009

Gruszczyński W, Matwij W, Ćwiąkała P (2017) Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation. ISPRS J Photogramm Remote Sens 126:168–179. https://doi.org/10.1016/j.isprsjprs.2017.02.015

Huang S-Y, Yen J-Y, Wu B-L, Yen IC, Chuang R (2019) Investigating the Milun Fault: the coseismic surface rupture zone of the 2018/02/06 ML 6.2 Hualien earthquake, Taiwan. Terr Atmos Ocean Sci. https://doi.org/10.3319/TAO.2018.12.09.03

Javernick L, Brasington J, Caruso B (2014) Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry. Geomorphology 213:166–182. https://doi.org/10.1016/j.geomorph.2014.01.006

Kayitakire F, Hamel C, Defourny P (2006) Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery. Remote Sens Environ 102(3):390–401. https://doi.org/10.1016/j.rse.2006.02.022

Kesavan P, Nagarajan S, De Witt P (2022) Data-driven approach for 2D shoreline, and 3D volumetric change detection analysis: a case study for Jupiter inlet lighthouse outstanding natural area. J Appl Remote Sens 16(3):034509

Lian X, Liu X, Ge L, Hu H, Du Z, Wu Y (2021) Time-series unmanned aerial vehicle photogrammetry monitoring method without ground control points to measure mining subsidence. J Appl Remote Sens 15(2):024505

Lin Y-S, Chuang RY, Yen J-Y, Chen Y-C, Kuo Y-T, Wu B-L, Huang S-Y, Yang C-J (2018) Mapping surface breakages of the 2018 Hualien earthquake by using UAS photogrammetry. Terr Atmos Ocean Sci. https://doi.org/10.3319/TAO.2018.12.09.02

Liu C-C, Chen P-L, Matsuo T, Chen C-Y (2015) Rapidly responding to landslides and debris flow events using a low-cost unmanned aerial vehicle. J Appl Remote Sens 9(1):096016

Lu C-H, Chyi S-J (2020) Using UAV-SfM to monitor the dynamic evolution of a beach on Penghu Islands. Terr Atmos Ocean Sci 31:283–293. https://doi.org/10.3319/TAO.2019.09.25.01

Lucieer A, Jong SMD, Turner D (2013) Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Prog Phys Geogr 38(1):97–116. https://doi.org/10.1177/0309133313515293

Maier K, Nascetti A, van Pelt W, Rosqvist G (2022) Direct photogrammetry with multispectral imagery for UAV-based snow depth estimation. ISPRS J Photogramm Remote Sens 186:1–18. https://doi.org/10.1016/j.isprsjprs.2022.01.020

Mancini F, Dubbini M, Gattelli M, Stecchi F, Fabbri S, Gabbianelli G (2013) Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: the structure from motion approach on coastal environments. Remote Sens. https://doi.org/10.3390/rs5126880

Nota EW, Nijland W, de Haas T (2022) Improving UAV-SfM time-series accuracy by co-alignment and contributions of ground control or RTK positioning. Int J Appl Earth Obs Geoinf 109:102772. https://doi.org/10.1016/j.jag.2022.102772

Peter T-Y, Wang H, Kuo-Wei L, Liao J-J, Pan Y-W (2019) Landslide monitoring with interferometric SAR in Liugui, a vegetated area. TAO Terr Atmos Ocean Sci 30(4):5–530. https://doi.org/10.3319/TAO.2019.04.13.01

Rango A, Laliberte A, Herrick J, Winters C, Havstad K, Steele C, Browning D (2009) Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management. J Appl Remote Sens 3(1):033542

Romero-Andrade R, Zamora-Maciel A, Uriarte-Adrián JDJ, Pivot F, Trejo-Soto ME (2019) Comparative analysis of precise point positioning processing technique with GPS low-cost in different technologies with academic software. Measurement 136:337–344. https://doi.org/10.1016/j.measurement.2018.12.100

Saponaro M, Capolupo A, Caporusso G, Tarantino E (2021) Influence of co-alignment procedures on the co-registration accuracy of multi-epoch SFM points clouds. Int Arch Photogramm Remote Sens Spatial Inf Sci. https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-231-2021

Scarelli FM, Sistilli F, Fabbri S, Cantelli L, Barboza EG, Gabbianelli G (2017) Seasonal dune and beach monitoring using photogrammetry from UAV surveys to apply in the ICZM on the Ravenna coast (Emilia-Romagna, Italy). Remote Sens Appl Soc Environ 7:27–39. https://doi.org/10.1016/j.rsase.2017.06.003

Stempfhuber W, Buchholz M (2011) A precise, low-cost RTK GNSS system for UAV applications. Proc. of Unmanned Aerial Vehicle in Geomatics, ISPRS

Taddia Y, Corbau C, Zambello E, Pellegrinelli A (2019) UAVs for structure-from-motion coastal monitoring: a case study to assess the evolution of embryo dunes over a two-year time frame in the Po River Delta, Italy. Sensors. https://doi.org/10.3390/s19071717

Taddia Y, Stecchi F, Pellegrinelli A (2020) Coastal mapping using DJI phantom 4 RTK in post-processing kinematic mode. Drones. https://doi.org/10.3390/drones4020009

Tempa K, Peljor K, Wangdi S, Ghalley R, Jamtsho K, Ghalley S, Pradhan P (2021) UAV technique to localize landslide susceptibility and mitigation proposal: a case of Rinchending Goenpa landslide in Bhutan. Nat Resour Res 1(4):171–186. https://doi.org/10.1016/j.nhres.2021.09.001

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. https://doi.org/10.3390/rs11060721

Warrick J, Ritchie A, Adelman G, Adelman K, Limber PW (2017) New techniques to measure cliff change from historical oblique aerial photographs and structure-from-motion photogrammetry. J Coast Res 33(1):39–55. https://doi.org/10.2112/JCOASTRES-D-16-00095.1

Watanabe J-I, Shao Y, Miura N (2019) Underwater and airborne monitoring of marine ecosystems and debris. J Appl Remote Sens 13(4):044509

Westoby MJ, Lim M, Hogg M, Pound MJ, Dunlop L, Woodward J (2018) Cost-effective erosion monitoring of coastal cliffs. Coast Eng 138:152–164. https://doi.org/10.1016/j.coastaleng.2018.04.008

Xu S, Fu P, Quincey D, Feng M, Marsh S, Liu Q (2022) UAV-based geomorphological evolution of the Terminus Area of the Hailuogou Glacier, Southeastern Tibetan Plateau between 2017 and 2020. Geomorphology 411:108293. https://doi.org/10.1016/j.geomorph.2022.108293