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, 2013, Vol. 10, No. 2, pp. 88-97

Estimation of forest contamination by the waste of silicate production on RapidEye image

E.A. Kurbanov , O.N. Vorobyev , S.A. Lezhnin , Y.A. Polevshikova 
Volga State University of Technology, Yoshkar-Ola, Russia
The MNF (Minimum Noise Fraction) transformation algorithm and unsupervised classification were used on the satellite image of high resolution RapidEye 2011 with the aim to investigate spatial distribution and different level of contamination of forest ecosystems by the waste of silicate production in the Republic Mari El. There also were used sample test forest plots established near the plant during the summer 2012. Research results indicate about high separability of the classes of the forest cover after the MNF transformation and high accuracy of the developed thematic map of contaminated forest ecosystems around the silicate plant.
Keywords: дистанционное зондирование, загрязнение лесов, силикатное производство, снимок RapidEye, трансформация изображений, лесные экосистемы, remote sensing, forest contamination, silicate production, RapidEye image, image transformation, forest ecosystems
Full text

References:

  1. Bartalev S.A., Egorov V.A., Efremov V.Yu., Loupian E.A., Stytsenko F.V., Flitman E.V., Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 2, pp. 343–351.
  2. Vorobyev O.N., Kurbanov E.A., Gubaev A.V., Lezhnin S.A., Polevshikova Y.A., Vestnik PGTU, Ioshkar-Ola: Povolzhskii gosudarstvennyi tekhnologicheskii universitet, 2012, No. 1, pp. 12–22.
  3. Gubaev A.V., Kurbanov E.A., Krankina O.N., Vorobyev O.N., In: Vliyanie anomal'noi pogody na prirodnye, sotsial'no-ekonomicheskie i iskusstvennye sistemy: zasukha 2010 goda v Povolzh'e Rossii: materialy mezhdunarodnoi nauchnoi konferentsii NASA i seminara GOFC-GOLD/NEESPI (The Impact of Extreme Weather on Natural, Socio-Economic and Artificial Systems: 2010 Drought in the Volga Region of Russia: materials of International Scientific Conference NASA and Workshop GOFC-GOLD/NEESPI), Ioshkar-Ola: Povolzhskii gosudarstvennyi tekhnologicheskii universitet, 2012, pp. 92–98, available at: http://csfm.marstu.net/publications.html.
  4. Demakov Yu.P., Shvetsov S.M., Maishanova M.I., Vestnik PGTU, Ioshkar-Ola: Povolzhskii gosudarstvennyi tekhnologicheskii universitet, 2012, No. 1, pp. 85–95.
  5. Annual report on the state of environment of the Republic of Mari El for the year 2009: state report for 2009, Ministerstvo sel'skogo khozyaistva, prodovol'stviya i prirodopol'zovaniya Respubliki Marii El (Ministry of agriculture, food and nature management of the Republic of Mari El), Ioshkar-Ola, 2010, 190 p.
  6. Korets M.A., Ryzhkova V.A., Bartalev C.A., Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2006, Vol. 2, Issue 3, pp. 330–334.
  7. Kurbanov E.A., Vorobyev O.N., Gubaev A.V., Lezhnin S.A., Nezamaev S.A., Aleksandrova T.A., Vestnik MarGTU, Ioshkar-Ola: Mariiskii gosudarstvennyi tekhnicheskii universitet, 2010, No. 2 (9), pp. 14–20.
  8. Kurbanov E.A., Nureeva T.V., Vorobyev O.N., Gubaev A.V., Lezhnin S.A., Miftakhov T.F., Nezamaev S.A., Polevshikova Y.A., Vestnik MarGTU, Ioshkar-Ola: Mariiskii gosudarstvennyi tekhnicheskii universitet, 2011, No. 3, pp. 17–24.
  9. Metodicheskie rekomendatsii po nadzoru, uchetu i prognozu massovykh razmnozhenii stvolovykh vreditelei i sanitarnogo sostoyaniya lesov (Methodical recommendations for supervision, accounting and forecasting of mass reproduction stem pests and sanitary state of forests), Pushkino: VNILM, 2008, 57 p., available at: http://www.rcfh.ru/userfiles/files/16_massovye_razmnozheniya_stvolovyh_vreditelej.pdf.
  10. Nezavisimyi stroitel'nyi portal (Independent building portal). SNiP 23-01-99, Sistema normativnykh dokumentov v stroitel'stve. Stroitel'nye normy i pravila Rossiiskoi Federatsii. Stroitel'naya klimatologiya (System normative documents in construction. Building regulations of the Russian Federation. Building climatology), available at: http://www.nsp.su/gosts/snip/d130 – 16.03.2013.
  11. Okhrana truda v Rossii (Labour protection in Russia), SanPiN 2.2.1/2.1.1.1200-03, Sanitarno-zashchitnye zony i sanitarnaya klassifikatsiya predpriyatii, sooruzhenii i inykh ob"ektov (Sanitary protection zones and sanitary classification of enterprises, structures and other facilities), 2003-10-04, available at: http://ohranatruda.ru/ot_biblio/normativ/data_normativ/52/52471/index.php, 16.03.2013.
  12. Polishchuk Y.M., Tokareva O.S., Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 3, pp. 269–274.
  13. Tokareva O.S., Kas'yanov I.V., Vestnik nauki Sibiri, 2011, No. 1 (1), pp. 268–272.
  14. Buschmann C., Nagel E., In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation, International Journal of Remote Sensing, 1993, No. 14, pp. 711–722.
  15. Gamon J.A., Cheng Y., Claudio H., Mackinney L., Sims D.A., A mobile tram system for systematic sampling of ecosystem optical properties, Remote Sensing of Environment, 2006, No. 103, pp. 246–254.
  16. Guo Y., Hong S., Feng N., Zhuang Y., Zhang L., Spatial distributions and temporal variations of atmospheric aerosols and the affecting factors: a case study for a region in central China, International Journal of Remote Sensing, 2012, Vol. 33, No. 12, pp. 3672–3692.
  17. Jason G.S., Jerrett M., Beckerman B., Wilhelm M., Ghosh J.K., Riz B., Predicting trafficrelated air pollution in Los Angeles using a distance decay regression selection strategy, Environmental Research, 2009, Vol. 109, No. 6, pp. 657–670.
  18. Ji L., Gallo K., Eidenshink J.C., Dwyer J., Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets, International Journal of Remote Sensing, 2008, Vol. 29, No. 16, pp. 4839–4861.
  19. Kaufman Y.J., Tanre D., Boucher O., A satellite view of aerosols in the climate system, Nature, 2002, No. 419, pp. 215–223.
  20. Li B.G., Yuan H.S., Feng N., Tao S., Spatial and temporal variations of aerosol optical depth in China during the period from 2003 to 2006, International Journal of Remote Sensing, 2010, No. 31, pp. 1801–1817.
  21. Nagai S., Saitoh T.M., Kobayashi H., Ishihara M., Suzuki R., Motohka T., Nasahara K.N., Muraoka H., In situ examination of the relationship between various vegetation indices and canopy phenology in an evergreen coniferous forest, Japan, International Journal of Remote Sensing, 2012, Vol. 33, No. 19, pp. 6202–6214.
  22. Qiu Y., Guan D., Song W., Huang K., Capture of heavy metals and sulfur by foliar dust in urban Huizhou, Guangdong Province, China, Chemosphere, 2009, Vol. 75 (4), pp. 447–452.
  23. Rastamanesh F., Moore F., Kharrati-Kopaei M., Behrouz M., Monitoring deterioration of vegetation cover in the vicinity of smelting industry, using statistical methods and TM and ETM+ imageries, Sarcheshmeh copper complex, Central Iran, Environmental Monitoring and Assessment, 2010, Vol. 163, No. 1, pp. 397–410.
  24. Sunyurp P., Mapping and spatial characterization of nonnative grasses in the Big Island, Hawaii using hyperspectral imagery, Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, Reno, Nevada, 2006, Vol. 3, pp. 1028–1035.
  25. Wang H., Lin H., Chen J., Chen F., Study on the relationship between sub-pixel percentage cover and multi-temporal NDVI, International Journal of Remote Sensing, 2012, Vol. 33, No. 17, pp. 5615–5628.