Lidar virtual models for seismic exploration

https://doi.org/10.35595/2414-9179-2021-1-27-304-316

View or download the article (Rus)

About the Author

Ilya A. Rylskiу

M.V. Lomonosov Moscow State University, Faculty of Geography, World Data Center for Geography,
Moscow, 119991, Russia;
E-mail: rilskiy@mail.ru

Abstract

Seismic exploration is important for development of new fields and the resumption of production at old areas of oil production. These works involve studying of underground geological structures using seismic profiling and seismotomography methods. In fact, detailed information about the territory is necessary for almost every participant in the process—to find the optimal routes for movement on terrain, to optimize the volume of forest felling on profiles, for georeferencing and checking coordinate measurements at points, etc. The availability of spatial data is also important for increasing the level of safety and trouble-free operation during work.

One of possible solutions is to perform field surveys using aerial photography and airborne laser scanning, followed creation of virtual models based on them with instrumentation adapted to the specifics of these works.

Modern GIS, with all their development, has number of disadvantages. It is difficult to use GIS by non-specialists; full-featured GIS are expensive, and free solutions has limited analysis functionality and can’t make good 3D visualizations, it is difficult to protect spatial information from unauthorized copying. These problems can be solved without using classic GIS packages. Instead, it is proposed to use virtual environments closed from editing and access to the original data.

Test area of 69 km2 in the Khanty-Mansiysk Autonomous Okrug was selected for testing virtual modeling technologies. LIDAR and aerial photography datasets were obtained, and subsequent processing of the resulting was done, forming highly-detailed virtual environment. The article discusses the main features and functionality of this model.

Keywords

airborne imagery, virtual model, remote sensing, GIS, LIDAR.

References

  1. Allen Р.К., Stamos I., Troccoli A.A., Smith B., Leordeanu M., Hsu Y. 3D modeling of historic sites using range and image data. In Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003. V. 1. P. 145–150.
  2. Chen Q. Airborne lidar data processing and information extraction. Photogrammetric Engineering & Remote Sensing. 2007. V. 73. No. 2. P. 109–112.
  3. Haala N., Brenner C., Anders K.-H. 3D urban GIS from laser altimeter and 2D map data. In International Archives of Photogrammetry and Remote Sensing. 1998. P. 339–346.
  4. Kapralov E.G., Koshkarev A.V., Tikunov V.S. Osnovy geoinformatiki. Мoscow: Akademia, 2004. 480.
  5. Lohr U. Digital elevation models by laserscanning: Principle and applications. Third International Airborne Remote Sensing Conference and Exhibition. 1997. P. 174–180.
  6. Malevannaya M.S., Rylskiy I.A. Terrestrial laser scanning methods—new approaches to information provision of geographic researches. Geodezia i cartographia. 2014. V. 5. No. 4. P. 23–34.
  7. Schwalbe E., Maas H., Seidel F. 3D building model generation from airborne laser scanner data using 2D GIS data and orthogonal point cloud projections. In Proceedings of the International Society for Photogrammetry and Remote Sensing. 2005. 12–14.
  8. Tikunov V.S., Rylskiy I.A. Perspectives of using airborne laser scanning systems for forest mapping. Izvestia Irkutskogo gosudarstvennogo universiteta, Seria Nauki o zemle. 2016. V. 15. No. 2073–3402. P. 104–113.
  9. Zhang C., Chen T. Efficient feature extraction for 2D/3D objects in mesh representation. In Proceedings of the 2001 International Conference on Image Processing, 2001. 2001. P. 935–938.

For citation: Rylskiу I.A. Lidar virtual models for seismic exploration InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 1. P. 304–316. DOI: 10.35595/2414-9179-2021-1-27-304-316 (In Russian)