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 Number 5
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. 2, pp. 134-146

Estimation of forest disturbance in the forest-steppe zone at the beginning of the XXI century using satellite data

E.A. Terekhin 1 
1 Belgorod State National Research University, Belgorod, Russia
Accepted: 24.03.2020
DOI: 10.21046/2070-7401-2020-17-2-134-146
This paper presents the results of forest stand disturbance estimation in the forest-steppe zone in the Central Black Earth The paper presents the results of forest stand disturbance estimation in the forest-steppe zone in the Central Chernozem Region of Russia during the period 2000–2018. GIS-mapping and spatial analysis of disturbed forest areas have been performed in automated mode using multi-temporal Landsat data. Evaluation of forest disturbance was carried out both for deciduous, coniferous and mixed forests. Using data from more than 3000 forest areas it was found that the area of disturbed forests is significantly less than the total forest area. The share of disturbed forests in the western part of the region is much smaller than in its eastern part. The share of disturbed areas in deciduous forests is small. The largest share of disturbed forest ecosystems is in coniferous forest. The largest share of disturbed forest ecosystems amounting to 18.4 % is characteristic of coniferous forests. The deciduous forests are characterized by a small average area of disturbed forest plot unlike coniferous forest. The largest area of disturbed forest ecosystems is attributed to coniferous and mixed forests. of Russia during the period 2001-2018. GIS-mapping and spatial analyst of disturbed forest areas has been performed in automated mode using multi-temporal Landsat data. Evaluation of forest disturbance was carried out both for deciduous, coniferous and mixed forests. Using data from more than 3000 forest areas it was found that the area of disturbed forests is significantly less than the total forest area. The share of disturbed forests in the western part of the region is much smaller than in its eastern part. The share of disturbed areas in deciduous forests is small. The largest share of disturbed forest ecosystems is in coniferous forest. The largest share of disturbed forest ecosystems, amounting to 18.4% is characteristic of coniferous forests. The deciduous forests are characterized by a small average area of disturbed forest plot unlike coniferous forest. The largest area of disturbed forest ecosystems located in coniferous and mixed forests.
Keywords: forest, forest-steppe, disturbed ecosystems, remote sensing data, long-term changes, Central Chernozem Region of Russia, Landsat
Full text

References:

  1. Bartalev S. A., Egorov V. A., Zharko V. O., Loupian E. A., Plotnikov D. E., Khvostikov S. A., Shabanov N. V., Sputnikovoe kartografirovanie rastitel’nogo pokrova Rossii (Land cover mapping over Russia using Earth observation data), Moscow: IKI RAN, 2016, 208 p.
  2. Bugaev V. A., Revin A. I., Musievskii A. L., Dinamika lesnogo fonda Tsentral’nogo Chernozem’ya (Dynamics of the forest fund of the Central Chernozem Region), Lesnoe khozyaistvo, 2006, No. 3, pp. 41–42.
  3. Bugaev V. A., Musievskii A. L., Tsaralunga V. V., Dubravy lesostepi (Oakforests of the steppe zone), Voronezh: Voronezhskaya gosudarstvennaya lesotekhnicheskaya akademiya, 2013, 247 p.
  4. Vorobiev O. N., Kurbanov E. A., Distantsionnyi monitoring vosstanovitel’noi dinamiki rastitel’nosti na garyakh Mariiskogo lesnogo Zavolzh’ya (Remote monitoring of vegetation regeneration dynamics on burnt areas of Mari Zavolzhje forests), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 2, pp. 84–97.
  5. Ershov D. V., Isaev A. S., Lukina N. V., Gavrilyuk E. A., Koroleva N. V., Otsenka bioraznoobraziya Tsentral’nogo federal’nogo okruga po sputnikovoi karte nazemnykh ekosistem (Biodiversity estimate for the Central Federal District from satellite map of terrestrial ecosystems), Lesovedenie, 2015, No. 6, pp. 403–416.
  6. Isaev A. S., Korovin G. N., Krupnomasshtabnye izmeneniya v boreal’nykh lesakh Evrazii i metody ikh otsenki s ispol’zovaniem kosmicheskoi informatsii (Large-Scale Changes in Eurasian Boreal Forests and Methods of Their Assessment Using Space Information), Lesovedenie, 2003, No. 2, pp. 3–9.
  7. Kashnitskii A. V., Khovratovich T. S., Balashov I. V., Organizatsiya obrabotki dannykh DZZ pri reshenii zadachi detektirovaniya izmenenii lesnogo pokrova na bol’shikh territoriyakh (The organization of remote sensing data processing for solving the problems of deforestation detection in large areas), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 6, pp. 103–111.
  8. Kozharinov A. V., Borisov P. V., Rasprostranenie dubovykh lesov na territorii vostochnoi Evropy za poslednie 13 tysyach let (Distribution of oak forests in Eastern Europe over the Latest thirteen thousand years), Lesovedenie, 2012, No. 5, pp. 22–28.
  9. Pisman T. I., Botvich I. Yu., Shevyrnogov A. P., Otsenka sostoyaniya lesnoi rastitel’nosti Krasnoyarskogo kraya (zapovednik “Stolby”) po sputnikovym dannym (Assessment of the state of forest vegetation in Krasnoyarsk Territory (Stolby Nature Reserve) according to satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 5, pp. 130–140.
  10. Sukhikh V. I., Aerokosmicheskie metody v lesnom khozyaistve i landshaftnom stroitel’stve (Aerospace methods in forestry and landscape construction), Yoshkar-Ola: MarGTU, 2005, 382 p.
  11. Terekhin E. A., Otsenka narushennosti lesnykh ekosistem yugo-zapada Srednerusskoi vozvyshennosti s primeneniem materialov kosmicheskikh s″emok (Estimation of forest ecosystems disturbance in the southwest of Central Russian Upland using remote sensing data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 4, pp. 112–124.
  12. Terekhin E. A., Analiz spektral’no-otrazhatel’nykh svoistv narushennykh lesnykh ekosistem lesostepnoi zony na osnove raznovremennykh sputnikovykh dannykh (Analysis the spectral response of disturbed forest ecosystems in forest-steppe zone using multitemporal remote sensing data), In: Lesnye ekosistemy v usloviyakh izmeneniya klimata: biologicheskaya produktivnost’ i distantsionnyi monitoring, Yoshkar-Ola, 2018, pp. 39–47.
  13. Terekhin E. A., Raspoznavanie narushennykh lesnykh ekosistem lesostepi na osnove spektral’no-otrazhatel’nykh kharakteristik (Detection of disturbed forest ecosystems in the forest-steppe zone using reflectance values), Computer Optics, 2019, Vol. 43, No. 3, pp. 412–418.
  14. Khovratovich T. S., Bartalev S. A., Kashnitskii A. B., Metod detektirovaniya izmenenii lesov na osnove podpiksel’noi otsenki proektivnogo pokrytiya drevesnogo pologa po raznovremennym sputnikovym izobrazheniyam (Forest change detection based on sub-pixel estimation of crown cover density using bitemporal satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 102–110.
  15. Chendev Yu. G., Evolyutsiya lesostepnykh pochv Srednerusskoi vozvyshennosti v golotsene (Evolution of forest-steppe soils of the Central Russian Upland in the Holocene), Moscow: GEOS, 2008, 212 p.
  16. Hansen M. C., Potapov P. V., Moore R., Hancher M., Turubanova S. A., Tyukavina A., Thau D., Stehman S. V., Goetz S. J., Loveland T. R., Kommareddy A., Egorov A., Chini L., Justice C. O., Townshend J. R.G., High-resolution global maps of 21st-century forest cover change, Science, 2013, Vol. 342, No. 6160, pp. 850–853.
  17. Hislop S., Jones S., Soto-Berelov M., Skidmore A., Haywood A., Nguyen T. H., A fusion approach to forest disturbance mapping using time series ensemble techniques, Remote Sensing of Environment, 2019, Vol. 221, pp. 188–197.
  18. Kim D.-H., Sexton J. O., Noojipady P., Huang C., Anand A., Channan S., Feng M., Townshend J. R., Global, Landsat-based forest-cover change from 1990 to 2000, Remote Sensing of Environment, 2014, Vol. 155, pp. 178–193.
  19. Li P., Jiang L., Feng Z., Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors, Remote Sensing, 2014, Vol. 6, Issue 1, pp. 310–329.
  20. Potapov P. V., Turubanova S. A., Tyukavina A., Krylov A. M., McCarty J. L., Radeloff V. C., Hansen M. C., Eastern Europe’s forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive, Remote Sensing of Environment, 2015, Vol. 159, pp. 28–43.
  21. Senf C., Pflugmacher D., Hostert P., Seidl R., Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe, ISPRS J. Photogrammetry and Remote Sensing, 2017, Vol. 130, pp. 453–463.
  22. Thomas N. E., Huang C., Goward S. N., Powell S., Rishmawi K., Schleeweis K., Hinds A., Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks, Remote Sensing of Environment, 2011, Vol. 115, pp. 19–32.
  23. Vogelmann J. E., Xian G., Homer C., Tolk B., Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems, Remote Sensing of Environment, 2012, Vol. 122, pp. 92–105.