The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 161–167, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-161-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 161–167, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-161-2022
 
30 May 2022
30 May 2022

THE CHALLENGE OF AUTOMATION FOR LARGE SCALE TOPOGRAPHIC MAPPING OF OIL AND GAS DEPOSITS BASED ON TERRESTRIAL LASER SCANNING DATA

M. A. Altyntsev1 and M. A. Altyntseva2 M. A. Altyntsev and M. A. Altyntseva
  • 1Dep. of Engineering Geodesy and Mine Surveying, Siberian State University of Geosystems and Technologies, Novosibirsk, Russian Federation
  • 2Dept. of Cartography and Geoinformation, Siberian State University of Geosystems and Technologies, Novosibirsk, Russian Federation

Keywords: Terrestrial laser scanning, Data processing, Large scale topographic mapping, Topographic plan, Feature extraction

Abstract. Terrestrial laser scanning (TLS) is a modern method of spatial data acquisition. The most common application of this method is large scale topographic mapping. Point clouds obtained with laser scanning contain all necessary data for producing topographic maps and plans. One of the territories, where TLS is particularly important, is oil and gas deposits. Built-up areas of oil and gas deposits are represented with complicated industrial objects. On the one hand, introduction of TLS method for surveying of these areas significantly speeds up field surveying works. On the other hand, dense point clouds of built-up areas slow down the process of mapping due to the necessity to filter extra data. To hasten the process of mapping special algorithms of feature extraction from point cloud and techniques of compiling plan and maps are being developed. Nonetheless, majority of developed algorithms can work fine for point clouds of high uniform density where the number of objects is not large. For built-up areas developed algorithms can be not applicable. The basic steps of compiling a topographic plan are described. It is discussed which object types can be automatically extracted and vectorized in built-up areas of oil and gas deposits. The examples of manual point cloud vectorization are given.