Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 1, pp. 139-149

Landscape mapping of hard-to-reach regions using geoinformation technologies (the case of specially protected nature reserves of Khabarovsk Territory)

A.V. Ostroukhov 1 , E.M. Klimina 1 
1 Institute of Water and Ecological Problems FEB RAS, Khabarovsk, Russia
Accepted: 21.01.2020
DOI: 10.21046/2070-7401-2020-17-1-139-149
The paper analyzes the experience of applying geographic information technologies in the development of landscape-inventory maps of hard-to-reach territories of selected specially protected nature reserves and regions of Khabarovsk Territory and Far East. Such maps reflect the combination of interacting components and spatial elements of the natural environment in its full complexity. They should form the spatial basis for environmental monitoring systems and economic planning. However, mapping of many regions of Far East and Siberia is a very labor-intensive process and requires large investments due to weak study and difficult access to the territory. The circumstances and capacities of using Earth remote sensing data, digital terrain models and their derivatives in combination with aerial photography of key areas to improve the accuracy and relevance of cartographic materials are considered. It is shown that the use of decoding methods of aerial photography data from unmanned aerial vehicles (DJI Phantom 4) in combination with the medium-resolution remote sensing data (Sentinel-2), materials of expeditionary work and available literature data make it possible to effectively create a landscape-inventory map of the work area in relatively short term. The developed map can serve as the information-cartographic basis for the strategic and operational planning of territory monitoring and protection.
Keywords: geoinformation landscape mapping, remote sensing, digital terrain model, unmanned aerial vehicles, specially protected natural territories, Khabarovsk Territory
Full text

References:

  1. Anuchin M. S., Makunina A. A., Parmuzin I. Yu., Landshaftnaya karta SSSR, 1:2 500 000 (Landscapes of the USSR: map, 1:2 500 000), Moscow, 1987.
  2. Geomorfologicheskaya karta SSSR, 1:2 500 000 (Geomorphological map of the USSR, 1:2 500 000), 1985.
  3. Isachenko A. G., Landshafty SSSR, 1:4 000 00 (Landscapes of the USSR, 1:4 000 000), Leningrad: Izd. Leningradskogo univetsiteta, 1985.
  4. Kalikhman T. P., Bardash A. V., Bogdanov V.N, Ogorodnikova L. Yu., Klimina E. M., Bocharnikov V. N., Osobo okhranyaemye prirodnye territorii Dal’nevostochnogo federal’nogo okruga, Atlas (Especially protected natural territories of the Far Eastern Federal District, Atlas), Irkutsk: V. B. Sochava Institute of Geography SO RAN, 2018, 588 p.
  5. Klimina E. M., Ostroukhov A. V., Osnovnye etapy razrabotki landshaftno-tipologicheskoi karty Severnogo Sikhote-Alinya (Khabarovskii krai) (Basic steps in designing a landscape-typological map Northern Sikhote-Alin (Khabarovsk Territory)), Vestnik Dal’nevostochnogo otdeleniya Rossiiskoi akademii nauk, 2016, No 5, pp. 78–85.
  6. Landshafty SSSR (Landscapes of the USSR), Glavnoe upravlenie geodezii i kartografii, Isachenko A. G. (ed.), 1988, 1 p.
  7. Landshafty i prirodnye protsessy, oslozhnyayushchie khozyaistvennuyu deyatel’nost’: karta, 1:2 500 000 (Landscapes and natural processes, complicating economic activity: map, 1:2 500 000), 2003.
  8. Osobo okhranyaemye prirodnye territorii Khabarovskogo kraya, 1:2 000 000 (Especially protected natural territories of Khabarovsk Territory, 1:2 000 00), Bulgakov V. A., Shlotgauer S. D. (eds.), 1998.
  9. Ostroukhov A. V., Primenenie dannykh radarnoi sʺemki Zemli SRTM 4.1 i ikh proizvodnykh dlya sozdaniya geomorfologicheskoi osnovy landshaftno-inventarizatsionnykh kart (The application of SRTM 4.1 radar survey data and their derivatives to create a geomorphological basis landscape-inventory maps), Izvestiya vysshikh uchebnykh zavedenii. Geodeziya i aerofotosʺemka, 2018, Vol. 62, No. 1, pp. 45–51, DOI: 10.30533/0536-101X-2018-62-1-45-51.
  10. Pochvennaya karta SSSR, 1:2 500 000 (Soil map of the USSR, 1:2 500 000), Glavnoe upravlenie geodezii i kartografii, V. M. Fridland (ed.), 1988.
  11. Chemekov Yu. F., Geomorfologicheskaya karta Priamur’ya i smezhnykh territorii, 1:1 500 000 (Geomorphological map of the Amur region and adjacent territories, 1:1 500 000), 1960.