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, 2016, Vol. 13, No. 1, pp. 36-48

Assessment of accuracy and comparability of forest cover thematic maps of different spatial resolution by example of Middle Povolzhje

E.A. Kurbanov 1 , O.N. Vorobiev 1 , A.V. Gubayev 1 , S.A. Lezhnin 1 , Yu.A. Polevshikova 1 
1 Volga State University of Technology, Yoshkar-Ola, Russia

Accepted: 21.12.2015
DOI: 10.21046/2070-7401-2016-13-1-36-48 

The paper discusses a method for estimating classification accuracy and comparability of thematic maps derived from satellite images time series of high and middle spatial resolution by the example of forest cover in the Middle Povolzhje region. For validation of obtained thematic Landsat maps for 2001 and 2014, ground truth and field data, forest inventory maps, as well as existing global and regional maps of land cover were used. To estimate comparability of maps of different spatial resolutions, a special module Comparer_CSFM&RS_1.0 was developed in ArcMap, allowing comparison by “floating window” or “pure pixels” algorithms. “Trees” class of the thematic maps showed maximum differentiation with 91.9% users accuracy for “floating window” and 98.9% for “pure pixels”. The maximum difference in the area of estimated land cover on the maps of MODIS and Landsat has the “Shrub” class. The research results indicate that combining MODIS and Landsat satellite images can be successfully used in mapping forest cover and monitoring its dynamics on a regional level.
Keywords: remote sensing, Landsat, image classification, forest stands, classification accuracy assessment, Middle Povolzhje
Full text

References:

  1. Bartalev S.A., Lupyan E.A., Issledovaniya IKI RAN po razvitiyu metodov sputnikovogo monitoringa rastitel'nogo pokrova (R&D on methods for satellite monitoring of vegetation by the Russian Academy of Sciences’ Space Research Institute), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, No. 1, pp. 197–214.
  2. Vorob'ev O.N., Kurbanov E.A., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Distantsionnyi monitoring gorodskikh lesov (Remote sensing monitoring of urban forests), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol'zovanie, 2015, No. 1(25), pp. 5–21.
  3. Vorob'ev O.N., Kurbanov E.A., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Metodika vyyavleniya stepeni povrezhdeniya drevostoev posle pozharov 2010 goda v Srednem Povolzh'e (The method of identifying the measure of severity of disturbed forest stands after wild fires of 2010 in Middle Povolzhje), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, No. 4, Vol. 11, pp. 217–229.
  4. Gubaev A.V., Kurbanov E.A., Vorob'ev O.N., Lezhnin S.A., Polevshchikova Yu.A., Modul' Comparer_CSFM&RS_1.0, sozdannyi s pomoshch'yu programmnogo paketa ArsGIS 10 dlya sravneniya rastrovykh tematicheskikh kart, poluchennykh po sputnikovym snimkam (Modul Comparer_CSFM&RS_1.0 produced in ArcGIS for comparison of raster thematic maps, obtained by satellite images), Patent RF No. 201561558, 2015.
  5. Elsakov V.V., Kulyugina E.E., Rastitel'nyi pokrov Yugorskogo poluostrova v usloviyakh klimaticheskikh izmenenii poslednikh desyatiletii (Vegetation cover of Yugorski peninsula in the climatic change of latest decades), Issledovanie zemli iz kosmosa, 2014, No. 3, pp. 65–77.
  6. Elsakov V.V., Marushchak O., Shchanov V.M., Kartirovanie rastitel'nogo pokrova basseina r. Kozhim (Pripolyarnyi Ural) s ispol'zovaniem materialov distantsionnogo zondirovaniya (Mapping of Kozim river basin (Subpolar Ural) on basis of remote sensing data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2009, Vol. 2, pp. 360–364.
  7. Kurbanov E.A., Vorob'ev O.N., Gubaev A.V., Lezhnin S.A., Nezamaev S.A., Aleksandrova T.A., Otsenka zarastaniya zemel' zapasa Respubliki Marii El lesnoi rastitel'nost'yu po sputnikovym snimkam (Estimation of reforestation on abandoned agricultural lands in Republic Mari El by satellite images), Vestnik Mariiskogo gosudarstvennogo tekhnicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol'zovanie, 2010, No. 2, Vol. 9, pp. 14–20.
  8. Kurbanov E.A., Vorob'ev O.N., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Chetyre desyatiletiya issledovanii lesov po snimkam Landsat (Four decades of forest research with the use of Landsat images), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol'zovanie, 2014, No. 1, Vol. 21, pp. 18–32.
  9. Kurbanov E.A., Vorob'ev O.N., Nezamaev S.A., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Tematicheskoe kartirovanie i stratifikatsiya lesov Mariiskogo Zavolzh'ya po sputnikovym snimkam Landsat (Thematic mapping and stratification of forests in Middle Zavolzhje by Landsat satellite images), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol'zovanie, 2013, No. 3, pp. 72–82.
  10. Kurbanov E.A., Nureeva T.V., Vorob'ev O.N., Gubaev A.V., Lezhnin S.A., Miftakhov T.F., Nezamaev S.A., Polevshchikova Yu.A., Distantsionnyi monitoring dinamiki narushenii lesnogo pokrova, lesovozobnovleniya i lesovosstanovleniya v Mariiskom Zavolzh'e (Remote monitoring of disturbances in forest cover, reforestation and afforestation of Mari Zavolzhje), Vestnik Mariiskogo gosudarstvennogo tekhnicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol'zovanie, 2011, No. 3, pp. 17–24.
  11. Savin I.Yu., Bartalev S.A., Lupyan E.A., Tolpin V.A., Medvedeva M.A., Plotnikov D.E., Sputnikovyi monitoring vozdeistviya zasukhi na rastitel'nost' (na primere zasukhi 2010 goda v Rossii) (Satellite monitoring of draught impact on the vegetation (on the example of draught 2010 in Russia)), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, No. 1, pp. 150–162.
  12. Terekhin, E.A. Analiz kanalov sputnikovykh dannykh Landsat TM dlya otsenki kharakteristik lesnykh nasazhdenii lesostepnoi provintsii srednerusskoi vozvyshennosti (Analyses of Landsat TM satellite data bands for the estimation of forest stand characteristics of forest-steppe province in Middle Russian upland), Issledovanie Zemli iz kosmosa, 2012, No. 2, pp. 53–62.
  13. Bartalev S.A., Belward S., Ershov D., Isaev A.S., New SPOT4-VEGETATION derived land cover map of Northern Eurasia, International Journal of Remote Sensing, 2003, Vol. 24, pp. 1977–1982.
  14. Global Land Cover Products, Electronic resource. 2000, available at: http://acpobservatory.jrc.ec.europa.eu/content/global-land-cover-glc-2000-jrc.
  15. GlobCover, Electronic resource. 2009, available at:
  16. http://www.edenextdata.com/?q=content/esa-globcover-version-23-2009-300m-resolution-land-cover-map-0 (05.10.2015).
  17. Cohen W.B., Maiersperger T.K., Gower S.T., Turner D.P., An improved strategy for regression of biophysical variables and Landsat ETM+ data, Remote Sensing of Environment, 2003, No. 84, pp. 561–571.
  18. Masek J.G., Huang C., Wolfe R., Cohen W., Hall F., Kutler J., Nelson P., North American forest disturbance mapped from a decadal Landsat record, Remote Sensing of Environment, 2008, No. 112, pp. 2914–2926.
  19. NELDA (Northern Eurasia Land Dynamics Analyses). 2009, available at: http://www.fsl.orst.edu/nelda (05.10.2015).
  20. Pflugmacher D., Krankina O.N., Cohen W.B., Friedl M.A., Menashe D.S., Kennedy R.E. et al., Comparison and assessment of coarse resolution land cover maps for Northern Eurasia, Remote Sensing of Environment, 2011, No. 115, pp. 3539–3553.
  21. Phillips R.L., Beeri O., Scaling-up knowledge of growing-season net ecosystem exchange for long-term assessment of North Dakota grasslands under the Conservation Reserve Program, Global Change Biology, 2008, No. 14, pp. 1008–1017.
  22. Potapov P., Hansen M.C., Stehman S.V., Loveland T.R., Pittman K., Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss, Remote Sensing of Environment. 2008, No. 112, Vol. 9, pp. 3708–3719.
  23. Sivanpillai R., Charles T.S., Srinivasan R., Messina M.G., Wu X.B., Estimation of managed loblolly pine stand age and density with Landsat ETM+ data, Forest Ecology and Management, 2006, No. 223, pp. 247–254.
  24. Sohl T.L., Thomas R.L., Benjamin M.S., Kristi L.S., Barnes C.A., Addressing foundational elements of regional land-use change forecasting, Landscape ecology, 2010, No. 25, pp. 233–247.
  25. Wulder M.A., Skakun S., Kurz W.A., White J.C., Estimating time since forest harvest using segmented Landsat ETM+ imagery, Remote Sensing of Environment, 2004, No. 93, pp. 179–187.