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Geospatial Evaluation of Building Facility in Oyo State, Southwestern Nigeria

Year 2022, Volume: 9 Issue: 2, 139 - 145, 02.06.2022
https://doi.org/10.30897/ijegeo.811277

Abstract

Geospatial image acquisitions through the Unmanned Aerial Vehicle (UAV) techniques has been used geospatially to assess the Infrastructural building roof facilities of Emmanuel Alayande College of Education Campus, Oyo State, Nigeria. Unmanned Aerial Vehicle (UAV) is an aircraft without a human pilot on board, it is a veritable tool to solve numerous problems socially, and spatially which serves as an effective means of search, detection and identifying objects and the subjects of interest, as well as the precise determination of their coordinates. Drone deploy flight planning software were also used during this study. This paper focused on the building roof assessment of Emmanuel Alayande College of education Oyo. To achieve this aim, a UAV (Drone) was flied at a height to acquire the image data, which was processed using Argisoft Photoscan Professional image processing software and an orthomosaic, was acquire. The orthomosaic was analyzed with ArcGIS 10.3 and a map of building assessment of Campus was obtained. The findings shows geospatially how important is the geospatial technology for mapping roofs of infrastructure in this citadel of knowledge.

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References

  • Banaszek, A., Banaszk, S. and Cellmer, A. (2017).Possibilities of use of UAVs for technical inspection of buildings and constructions, IOP conference series: Earth environmental Science 95 (2017) 032001, World multidisciplinary Earth Symposium (WMESS 2017), doi.10:1088/1755- 13/5/95/3/032001.
  • Brdjanovic, D., Meijer, S. C., Lopez-Vazquez, C. M., Hooijmans, C. M., van Loosdrecht, M. C. (Eds.). (2015). Applications of activated sludge models. Iwa Publishing. Dell'Acqua, F., and Gamba, P.(2012). Remote sensing and earthquake damage assessment: experiences, limits, and perspectives, Proceedings of the IEEE, Issue 100, 2876-2890.
  • Germanese, D., Leone, G., Moroni, D., Pascal, M. and Tampucci, N. (2018). Long-term monitoring of crack patterns in historic structures using UAVs and planner markers: A preliminary study, Journal of Imagin, 4, 99, doi:10.3390/jimaging4080099.
  • Kerle, N., Frnand, G., Gerke, M. (2014). Urban structural damage assessment with oblique UAV imagery, object-based image analysis and semantics reasoning, conference paper. Kufoniyi, O. (1998), Database design and creation on principles and application of GIS, Lagos, Panaf press, 46.
  • Murtiyoso, A., Grussenmeyer, P. (2017). Documentation of heritage building using closerange UAV images: dense matching issues, comparison and case studies, The photogrammetry record 32(159), 206-229 doi.10.1111/phor.12197.
  • Murtiyoso, A., Grussenmeyer, P., Koehl, M., Freville, T. (2016). Acquisition and processing experiences of close range UAV images for the 3D modeling of heritage buildings.
  • Murtiyoso, A., Remondino, F., Rupnik, E., Nex, F., Grussenmeyer, P., (2014). Oblique aerial photography tool for building inspection and damage assessment. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, (1), 309–313.
  • Rupnik, E., Nex, F., Romendino, F. (2014). Oblique multi-camera systems-orientation and dense matching issues, The international Achieves of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40 (3/W1), 107114.
  • Salvani, R., Mastrorocco, G., Seddaiu, M., Rossi, D., Vaneschi, C. (2017). The use of unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): Photogrammetry and discrete fracture network modeling, Geomatics, Natural Hazard and Risk, 8(1), 34-52, doi.10. 1080/19475705.2016.1199053.
  • Zhang, C. (2008). An UAV-based photogrammetric mapping system for road condition assessment, The International Archives of the Photogrammetry, Remote sensing and Spatial Information Sciences, Vol. XXXVII, part B5, pp.103-109.
Year 2022, Volume: 9 Issue: 2, 139 - 145, 02.06.2022
https://doi.org/10.30897/ijegeo.811277

Abstract

Project Number

none

References

  • Banaszek, A., Banaszk, S. and Cellmer, A. (2017).Possibilities of use of UAVs for technical inspection of buildings and constructions, IOP conference series: Earth environmental Science 95 (2017) 032001, World multidisciplinary Earth Symposium (WMESS 2017), doi.10:1088/1755- 13/5/95/3/032001.
  • Brdjanovic, D., Meijer, S. C., Lopez-Vazquez, C. M., Hooijmans, C. M., van Loosdrecht, M. C. (Eds.). (2015). Applications of activated sludge models. Iwa Publishing. Dell'Acqua, F., and Gamba, P.(2012). Remote sensing and earthquake damage assessment: experiences, limits, and perspectives, Proceedings of the IEEE, Issue 100, 2876-2890.
  • Germanese, D., Leone, G., Moroni, D., Pascal, M. and Tampucci, N. (2018). Long-term monitoring of crack patterns in historic structures using UAVs and planner markers: A preliminary study, Journal of Imagin, 4, 99, doi:10.3390/jimaging4080099.
  • Kerle, N., Frnand, G., Gerke, M. (2014). Urban structural damage assessment with oblique UAV imagery, object-based image analysis and semantics reasoning, conference paper. Kufoniyi, O. (1998), Database design and creation on principles and application of GIS, Lagos, Panaf press, 46.
  • Murtiyoso, A., Grussenmeyer, P. (2017). Documentation of heritage building using closerange UAV images: dense matching issues, comparison and case studies, The photogrammetry record 32(159), 206-229 doi.10.1111/phor.12197.
  • Murtiyoso, A., Grussenmeyer, P., Koehl, M., Freville, T. (2016). Acquisition and processing experiences of close range UAV images for the 3D modeling of heritage buildings.
  • Murtiyoso, A., Remondino, F., Rupnik, E., Nex, F., Grussenmeyer, P., (2014). Oblique aerial photography tool for building inspection and damage assessment. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, (1), 309–313.
  • Rupnik, E., Nex, F., Romendino, F. (2014). Oblique multi-camera systems-orientation and dense matching issues, The international Achieves of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40 (3/W1), 107114.
  • Salvani, R., Mastrorocco, G., Seddaiu, M., Rossi, D., Vaneschi, C. (2017). The use of unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): Photogrammetry and discrete fracture network modeling, Geomatics, Natural Hazard and Risk, 8(1), 34-52, doi.10. 1080/19475705.2016.1199053.
  • Zhang, C. (2008). An UAV-based photogrammetric mapping system for road condition assessment, The International Archives of the Photogrammetry, Remote sensing and Spatial Information Sciences, Vol. XXXVII, part B5, pp.103-109.
There are 10 citations in total.

Details

Primary Language English
Subjects Photogrammetry and Remote Sensing
Journal Section Research Articles
Authors

Rafiu Jımoh 0000-0002-2366-0736

Afonja. Y.o. This is me

Gbadebo. O.a. This is me

Kazeem Sodiq This is me

Otunubi V.a. This is me

Akintoye S.o. This is me

Jimoh. A.a. This is me

Olanipekun O.p. This is me

Obadaye S. This is me

Chuma Vivian This is me

Project Number none
Publication Date June 2, 2022
Published in Issue Year 2022 Volume: 9 Issue: 2

Cite

APA Jımoh, R., Y.o., A., O.a., G., Sodiq, K., et al. (2022). Geospatial Evaluation of Building Facility in Oyo State, Southwestern Nigeria. International Journal of Environment and Geoinformatics, 9(2), 139-145. https://doi.org/10.30897/ijegeo.811277