Evaluation of UAV Accuracy for Mapping Based on Ground Control Point Patterns at Thung Pak Kor Detention Area Project, Suratthani Province
Abstract
This research aimed to determine appropriate distribution pattern of ground control points affected on the geospatial positioning accuracy for mapping by UAV photogrammetry. Thung Pak Kor Detention Area Project, Suratchthani Province was selected as the study area which covered an area of approximately 0.6 km2. It started with the data collection of aerial imagery data from UAV photogrammetry with 80% overlap and 60% side lap of the aerial imagery, and 41 ground data collection points divided into 24 ground control points and 17 accuracy check points. Aerial imagery was then processed using six distribution patterns of ground control points consisting of edge distribution, grid distribution, x-distribution, circle distribution, random distribution, and group distribution. Each pattern uses 8 ground control points to determine the geospatial positional accuracy and appropriate distribution patterns for the study area. The results showed that the x-distribution pattern provides the best horizontal and vertical accuracy with an RMSEr of 0.135 m and an RMSEz of 0.116 m, respectively. It has a horizontal reliability of 0.234 percent, a vertical reliability of 0.227 percent, and it can produce maps with a scale of 1:400. Keywords : aerial photograph ; ground control point ; RMSE ; geospatial positioning accuracy ; digital surface modelReferences
ASPRS. (1990). ASPRS Accuracy Standards for Large-Scale Maps Photogrammetric Engineering & Remote
Sensing, 56(7), 1068- 1070.
Bilgilioglu, B. B., Ozturk, O., Sariturk, B., & Seker, D. Z. (2019). Object Based Classlflcation of Unmanned Aerial
Vehicle (UAV) Imagery for Forest Fires Monitoring. Feb - Fresenius Environmental Bulletin, 1011.
Boontaweesawasdi, N. Piyatassananon, P., & Chavanavesskul, S. (2019). Spatial Accuracy of Applying
UnmannedAerial Vehicle to Produce High – Resolution Map. Journal of Remote Sensing and GIS Association of Thailand, 20. (in Thai)
Chaninchoduek, M. & Taesombat, W. (2020). Accuracy of UAV based photogrammetry for DSM generation on
different flying heights. Engineering Journal Chiang Mai University 27(3), 1-14. (in Thai)
Chuchip, K. (2018). Assessing the accuracy of remote sensing, Remote Sensing Technica, Faculty of Forestry.
(pp. 6-7). Kasetsart University (in Thai)
GISTDA. (2013). Project landscape data layer (FGDS data) is in accordance with the requirements of the FGDS
15provinces standard. Bangkok. (in Thai)
Kaewplang, S. (2019). Evaluating the Number of Suitable Ground Control Points for Topographic Mapping from
UAV - derived aerial imagery. Mahasarakham University Academic Conference 14th, Mahasarakham University. (in Thai)
Leeraphan,N. (2005). Remote sensing and aerial image translation. Songkla. (pp. 36-41). Prince of Songkla
University (in Thai)
Nagendran, S.K., Mohamad Ismail, M.S.B. & Tung, W.Y. (2018). Accuracy Assessment on Low Altitude UAV-
borne Photogrammetry Outputs Influenced by Ground Control Point at Different Altitude. Earth and Environmental Science, 169.
Phaisarnsitthikarn. J , & Santitamnont .P (2020). Application ofMulti-Head Oblique Camerason UAV to Delineate of
Building Footprint. The 25th National Convention on Civil Engineering, SGI05-SGI05. (in Thai)
Promtong, C. (2008). The Evaluation of Positional Accuracy of Orthophoto Products from Aerial Photographs in
theTest Field. Kambanda University Graduate School. (in Thai)
Punyo, A. (2019). Flood area analysis by Unmanned Aerial Vehicle A case study of the Pasak river basin, Lom
Sakdistrict Phetchabun province. Report of Hydrologist (professional level). In Performance Report. Royal Irrigation Department. (in Thai)
Saponaro, M., Capolupo, A., Caporusso, G., Borgogno Mondino, E., & Tarantino, E. (2020). Predicting the Accuracy
of Photogrammetric 3d Reconstruction from Camera Calibration Parameters Through a Multivariate Statistical Approach.
Sriklang,K. (2015) Planning an aerial mapping project. Survey School, Royal Thai Survey Department. (in Thai)
Tahar, K. N. (2013). An evaluation on different number of ground control points in unmanned aerial vehicle
photogrammetric block. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W2, 93-98
Tangpoomjit, R., Songsaeng, S., Pasada, A., Wangyao, K. & Litwarangkul, T. (2020). The Study of UAV-
Photogrammetric Accuracy for Mapping Based on Variation of Ground Control Points. In The 25th National Convention on Civil Engineering 25. Chon Buri: Ambassador Hotel. (in Thai)
Sensing, 56(7), 1068- 1070.
Bilgilioglu, B. B., Ozturk, O., Sariturk, B., & Seker, D. Z. (2019). Object Based Classlflcation of Unmanned Aerial
Vehicle (UAV) Imagery for Forest Fires Monitoring. Feb - Fresenius Environmental Bulletin, 1011.
Boontaweesawasdi, N. Piyatassananon, P., & Chavanavesskul, S. (2019). Spatial Accuracy of Applying
UnmannedAerial Vehicle to Produce High – Resolution Map. Journal of Remote Sensing and GIS Association of Thailand, 20. (in Thai)
Chaninchoduek, M. & Taesombat, W. (2020). Accuracy of UAV based photogrammetry for DSM generation on
different flying heights. Engineering Journal Chiang Mai University 27(3), 1-14. (in Thai)
Chuchip, K. (2018). Assessing the accuracy of remote sensing, Remote Sensing Technica, Faculty of Forestry.
(pp. 6-7). Kasetsart University (in Thai)
GISTDA. (2013). Project landscape data layer (FGDS data) is in accordance with the requirements of the FGDS
15provinces standard. Bangkok. (in Thai)
Kaewplang, S. (2019). Evaluating the Number of Suitable Ground Control Points for Topographic Mapping from
UAV - derived aerial imagery. Mahasarakham University Academic Conference 14th, Mahasarakham University. (in Thai)
Leeraphan,N. (2005). Remote sensing and aerial image translation. Songkla. (pp. 36-41). Prince of Songkla
University (in Thai)
Nagendran, S.K., Mohamad Ismail, M.S.B. & Tung, W.Y. (2018). Accuracy Assessment on Low Altitude UAV-
borne Photogrammetry Outputs Influenced by Ground Control Point at Different Altitude. Earth and Environmental Science, 169.
Phaisarnsitthikarn. J , & Santitamnont .P (2020). Application ofMulti-Head Oblique Camerason UAV to Delineate of
Building Footprint. The 25th National Convention on Civil Engineering, SGI05-SGI05. (in Thai)
Promtong, C. (2008). The Evaluation of Positional Accuracy of Orthophoto Products from Aerial Photographs in
theTest Field. Kambanda University Graduate School. (in Thai)
Punyo, A. (2019). Flood area analysis by Unmanned Aerial Vehicle A case study of the Pasak river basin, Lom
Sakdistrict Phetchabun province. Report of Hydrologist (professional level). In Performance Report. Royal Irrigation Department. (in Thai)
Saponaro, M., Capolupo, A., Caporusso, G., Borgogno Mondino, E., & Tarantino, E. (2020). Predicting the Accuracy
of Photogrammetric 3d Reconstruction from Camera Calibration Parameters Through a Multivariate Statistical Approach.
Sriklang,K. (2015) Planning an aerial mapping project. Survey School, Royal Thai Survey Department. (in Thai)
Tahar, K. N. (2013). An evaluation on different number of ground control points in unmanned aerial vehicle
photogrammetric block. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W2, 93-98
Tangpoomjit, R., Songsaeng, S., Pasada, A., Wangyao, K. & Litwarangkul, T. (2020). The Study of UAV-
Photogrammetric Accuracy for Mapping Based on Variation of Ground Control Points. In The 25th National Convention on Civil Engineering 25. Chon Buri: Ambassador Hotel. (in Thai)
Downloads
Published
2022-01-24
Issue
Section
Research Article
