PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2019 | 28 | 5 |

Tytuł artykułu

Analysis of land use land cover change detection of Bostanlik District, Uzbekistan

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This paper presents the change detection analysis of two multispectral datasets for the Bostanlik District of Tashkent, Uzbekistan, using Landsat-5 TM data for 1989 and Landsat-8 OLI for 2017. Both supervised classification and maximum likelihood algorithms were utilized for the change detection analysis. Six land use classes were identified: snow cover, bare soil/rock, forest, waterbody, built-up areas and agriculture. The change detection technique showed that within 28 years, significant changes occurred in the classes of the forest, built-up areas, bare soil and snow cover. The presented results might be valuable for the government authorities and stakeholders for future land use planning activities.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

28

Numer

5

Opis fizyczny

p.3235-3242,fig.,ref.

Twórcy

autor
  • Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences, Austria
autor
  • EcoGIS Center, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan
autor
  • Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences, Austria
autor
  • Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences, Austria

Bibliografia

  • 1. RAWAT J.S., KUMAR M. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18 (1), 77, 2015.
  • 2. TURNER M.G., RUSCHER C.L. Changes in landscape patterns in Georgia, USA. Landscape Ecology, 1 (4), 241, 1988.
  • 3. YANG A., SUN G. Landsat-Based Land Cover Change in the Beijing-Tianjin-Tangshan Urban Agglomeration in 1990, 2000 and 2010. ISPRS International Journal of Geo-Information, 6 (3), 59, 2017.
  • 4. GONG P., WANG J., YU L., ZHAO Y., ZHAO Y., LIANG L., CHEN J. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34 (7), 2607, 2013.
  • 5. FUCHS S., RÖTHLISBERGER V., THALER T., ZISCHG A., KEILER M. Natural Hazard Management from a Coevolutionary Perspective: Exposure and Policy Response in the European Alps. Annals of the American Association of Geographers, 107 (2), 382, 2017.
  • 6. LÓPEZ E., BOCCO G., MENDOZA M., DUHAU E. Predicting land-cover and land-use change in the urban fringe. Landscape and Urban Planning, 55 (4), 271, 2001.
  • 7. RUIZ-LUNA A., BERLANGA-ROBLES C.A. Land use, land cover changes and coastal lagoon surface reduction associated with urban growth in northwest Mexico. Landscape Ecology, 18 (2), 159, 2003.
  • 8. CHEN Y., LI X., LIU X., AI B. Analyzing land-cover change and corresponding impacts on carbon budget in a fast developing sub-tropical region by integrating MODIS and Landsat TM/ETM+ images. Applied Geography, 45, 10, 2013.
  • 9. VERBURG P.H., NEUMANN K., NOL L. Challenges in using land use and land cover data for global change studies: LAND USE AND LAND COVER DATA FOR GLOBAL CHANGE STUDIES. Global Change Biology, 17 (2), 974, 2011.
  • 10. YUAN F., SAWAYA K.E., LOEFFELHOLZ B.C., BAUER M.E. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing of Environment, 98 (2-3), 317, 2005.
  • 11. WANG X., ZHENG D., SHEN Y. Land use change and its driving forces on the Tibetan Plateau during 1990-2000. CATENA, 72 (1), 56, 2008.
  • 12. LI X., ZHAO S., YANG H., CONG D., ZHANG Z. A Bi-Band Binary Mask Based Land-Use Change Detection Using Landsat 8 OLI Imagery. Sustainability, 9 (3), 479, 2017.
  • 13. ABD EL-KAWY O.R., RØD J.K., ISMAIL H.A., SULIMAN A.S. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography, 31 (2), 483, 2011.
  • 14. JOVANOVIC D., GOVEDARICA M., SABO F., BUGARINOVIC Z., NOVOVIC O., BEKER T., LAUTER M. Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia). Geographica Pannonica, 19 (4), 162, 2015.
  • 15. LAMBIN E.F., GEIST H.J., LEPERS E. DYNAMICS OF LAND USE AND LAND COVER IN TOPICAL REGIONS. Annual Review of Environment and Resources, 28 (1), 205, 2003.
  • 16. LU D., MAUSEL P., BRONDÍZIO E., MORAN E. Change detection techniques. International Journal of Remote Sensing, 25 (12), 2365, 2004.
  • 17. PETIT C.C., LAMBIN E.F. Integration of multi-source remote sensing data for land cover change detection. International Journal of Geographical Information Science, 15 (8), 785, 2001.
  • 18. YIN H., KHAMZINA A., PFLUGMACHER D., MARTIUS C. Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery. Scientific Reports, 7 (1), 2017.
  • 19. KRAEMER R., PRISHCHEPOV A.V., MÜLLER D., KUEMMERLE T., RADELOFF V.C., DARA A., TEREKHOV A., FRÜHAUF M. Long-term agricultural land-cover change and potential for cropland expansion in the former Virgin Lands area of Kazakhstan. Environmental Research Letters, 10 (5), 054012, 2015.
  • 20. EDLINGER J., CONRAD C., LAMERS J., KHASANKHANOVA G., KOELLNER T. Reconstructing the Spatio-Temporal Development of Irrigation Systems in Uzbekistan Using Landsat Time Series. Remote Sensing, 4 (12), 3972, 2012.
  • 21. CHEMONICS INTERNATIONAL INC. Biodiversity Assessment for Uzbekistan (No. USAID CONTRACT NUMBER: LAG-I-803-99-00014-00) (p. 77). ALMATY, KAZAKHSTAN: USAID CENTRAL ASIAN REPUBLICS MISSION. Retrieved from https://rmportal.net/library/content/118_uzbekistan/view 2001.
  • 22. MIR Corporation. New 2016 UNESCO Sites: Our 3 Picks for Sites in Uzbekistan and Iran. Retrieved from https://www.mircorp.com/unesco-new-2016-uzbekistan-iran/2016.
  • 23. JULIEV M., PULATOV A., HUBL J. Natural hazards in mountain regions of Uzbekistan: A review of mass movement processes in Tashkent province. International Journal of Scientific & Engineering Research, 8 (2), 1102, 2017.
  • 24. ABINO A.C., KIM S.Y., JANG M.N., LEE Y.J., CHUNG J.S. Assessing land use and land cover of the Marikina sub-watershed, Philippines. Forest Science and Technology, 11 (2), 65, 2015.
  • 25. mongabay.com. Uzbekistan. Retrieved from https://rainforests.mongabay.com /deforestation/archive/Uzbekistan.htm 2006.
  • 26. Interstate Coordination Water Commission of Central Asia. Report on the Watershed of Ugam River (p. 114). Retrieved from http://www.cawater-info.net/projects/pdf/sic-ugam-report.pdf 2013.
  • 27. BENSITOVA G.R., BESHKO N.YU., NURIJANOV D.A. Ecological-economical characteristics of Ugam-Chatkal National Park (p. 64). Tashkent. Retrieved from msri-hub.ucentralasia.org/file/6283/download/6570 2014.
  • 28. SEMAKOVA E., GUNASEKARA K., SEMAKOV D. Identification of the glaciers and mountain naturally dammed lakes in the Pskem, the Kashkadarya and the Surhandarya River basins, Uzbekistan, using ALOS satellite data. Geomatics, Natural Hazards and Risk, 7 (3), 1081, 2016.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-e8e85719-4e0a-478b-888e-a9fe57ceeba7
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.