VISUAL INTERPRETATION OF OIL AND GAS CONDENSATE FIELD FACILITIES FROM LANDSAT IMAGES

http://doi.org/10.24057/2414-9179-2018-1-24-262-272

View or download the article (Rus)

About the Authors

Pavel E. Kargashin

Lomonosov Moscow State University,
Leninskie Gory, 1, GSP-1, 119991, Moscow, Russia,
E-mail: p.e.kargashin@mail.ru

Boguslav A. Novakovsky

Lomonosov Moscow State University,
Leninskie Gory, 1, GSP-1, 119991, Moscow, Russia,
E-mail: dcaph@mail.ru

Anna I. Prasolova

Lomonosov Moscow State University,
Leninskie Gory, 1, GSP-1, 119991, Moscow, Russia,
E-mail: prasolova.geo@yandex.ru

Abstract

The article describes the result of investigations aimed at the development of regional atlas. The atlas is intended to reflect knowledge of the Crimean Peninsula, to show the complexity of geographical conditions, factors and prerequisites of a modern state and further development of power engineering on the basis of renewable sources. Atlas is the best way to present heterogeneous information about certain types of renewable energy for further joint analysis. There were used modern scientific approaches, mainly systemic and evaluation-forecast ones to develop the content of the particular maps. The main advance of atlas as a way to show the reality is a possibility to describe the specificity of spatial placement. It is usually shown through maps drawn up in a relatively wide range of scales and using different spatial mapping units. For example, regular grids and isolines are usually used for wind power, it is common to apply units of administrative division of different levels and areas of crop production to map values describing bioenergy. There were also utilized digital elevation models (e. g. SRTM), available remote sensing data (e. g. Landsat, Sentinel), digital maps, web mapping resources, and Internet to evaluate our conclusions and show them via maps.

It was critical for the project to use automatization tools and methods for data preparation and import to geodatabase. There were created several Python scripts to process spatial data, to import source data into geodatabase and calculate the required thematic values. Automatization of workflow is vital for researches dealing with renewable energy because it requires to analyze data for a large time range and manual processing is not efficient. There were used Python libraries arcpy, GDAL, numpy and others. The regional atlas of renewable energy for the Crimean Peninsula includes introduction and three thematic sections: natural resources of renewable energy, agricultural resources for renewable energy, factors of renewable energy development.

Keywords

regional аtlas, renewable energy, GIS mapping, Crimean peninsula.

References

  1. Andreenko T.I., Kiselyova S.V., Rafikova Yu.Yu. Evaluation of the energy potential of waste of plant industry of the Crimean Federal district Innovation in agriculture. 2016. No 5 (20). P. 449–455 (in Russian).
  2. Andreenko T.I., Kiseleva S.V., Shakun V.P. To assessing the energy potential of waste from crop: grain farming. Alternative energy and ecology. 2014. No 12. P. 84–95 (in Russian).
  3. Atlas of renewable energy resources in Russia. М. RKhTU named after D.I. Mendeleev, 2015. 160 p. (in Russian).
  4. Batuev A.R., Ermoshin V.V., Koneva I.V., Lopatkin D.A., Petrischev V.P. Asian Russia: from the map series to the Atlas information system // Atlas mapping: tradition and innovation. Proceedings of the X scientific conference on thematic cartography. Irkutsk, 2015. P. 5–8 (in Russian).
  5. Deit K. Introduction to database systems. 8th edition. М.: Williams, 2005. P. 1328 (in Russian).
  6. Efremov G.A., Rotanova I.N. Atlas geoinformation mapping and its implementation on the example of the Atlas “Big Altai: nature, history, culture”. In “Geography issues. SB. 144: Cartography in the digital age” / Edited by V.М. Kotlyakov. М.: Publishing house “Kodeks”, 2017. P. 98–121 (in Russian).
  7. Pyankov S.V., Shikhov A.N., Abdullin R.К. Modern methods and technologies in thematic Atlas mapping (on the example of AIS “Dangerous hydrometeorological phenomena of the Ural Kama region)” / In “Geography issues. SB. 144: Cartography in the digital age” / Edited by V.М. Kotlyakov. М.: Publishing house “Kodeks”, 2017. P. 208–226 (in Russian).
  8. Tikunov V.S., Yablokov V.M. Atlas information system for the Baikal region. InterCarto. InterGIS: Proceedings of the international conference 2013. Т. 1 (19). P. 197–202 (in Russian).

For citation: Kargashin P.E., Novakovsky B.A., Prasolova A.I. VISUAL INTERPRETATION OF OIL AND GAS CONDENSATE FIELD FACILITIES FROM LANDSAT IMAGES Proceedings of the International conference “InterCarto. InterGIS”. 2018;24(1):262–272 (In Russ.) VISUAL INTERPRETATION OF OIL AND GAS CONDENSATE FIELD FACILITIES FROM LANDSAT IMAGES Proceedings of the International conference “InterCarto. InterGIS”. 2018;24(1):262–272