Monitoring of land use / cover changes using change drastically, degree of dynamic and post classification comparison

Subject Areas : forest

mohammad zare ¹ , teimur teimurian ² , mohammad Hasan Jouri ³

1 - PhD graduate at Watershed, university of Tehran, faculty of natural science, karaj, iran. [e-mail]
2 - PhD student at Watershed, university of Tehran, faculty of natural science, karaj, Iran
3 - associate professor, department of natural science, Islamic azad university, nour branch, nour, Iran

Received: 2016-06-09 Accepted : 2017-02-07 Published : 2017-05-22

Keywords: land use, Nour city, changes monitoring, Landsat TM sensor,

Abstract :

Earth is one of the primary sources of natural that by land use is transformed. Land use is a natural process and it cannot be stopped but it can be controlled. Population increase and urbanization growth are one of the most important challenges of land use management. Land use mapping and checking the trend of change is one of the most essential information needed for manage natural resources. In this study, for mapping land use changes in Nour city were used of Landsat TM images relating to the years 1986, 2000 and 2013 during a period of 28 years. In this study, the maximum likelihood method and GIS was used to classify images. As well as to evaluate the intensity and trend of land use changes, post classification comparison, of, severity index and dynamics degree index methods were used for changes monitoring in land use. Results showed the greatest changes of land use in Nour region is related to the conversion of cropland class to urban class, so that the changes trend for forest and agriculture lands use has been negative and for residential land use has been positive and extent of the residential areas has been increased Fivefold from 1986 to 2013 as the maximum changes in the suburb.

References:

1. Abdollahi, M., 2006. Investment and financial market challenges in agriculture. Trend. 49: 169-200.


2. Abd El-Kawya, O.R., J.K., Rød, H.A., Ismail & Suliman A.S, 2010. Land Use and Land Cover Change Detection in the Western Nile Delta of Egypt Using Remote Sensing Data, Applied Geography, 31: 483-494.


3. Alavipanah, S.K., 2003. Study of Lut desert surface temperature using field measurements and satellite thermal data. Desert. 1(7): 85-99.


4. Anderson, J.R., E. Hardey, J. Roach & R.E. Witmer, 1976. A land use and land cover classification system for use with remote sensor data. US geological survey professional paper, Washington, DC, 964, 28 pp.


5. Arkhi, S.,Y. Niazi & M. Adibnejad. 2011. Vegetation change monitoring using remote sensing techniques in Ilam dam basin. Geography and Development. 9 (24): 121-136.


6. Chabokro, G.R & R. Gari, 2005. Investment in agriculture in production uncertainty. Agricultural economic and development. 51: 165-177.


7. Chander, C., B. Markham & D. Helder, 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+ and EO-1 ALI sensors. Remote Sensing of Environment 113(5): 893-903.


8. Clapham, W.B., 2005. Quantitive classification as tool to show change in an urbanizing watershed. International journal remote sensing. 26: 4923-4939. 


9. Dehghan, M & S.M. Hosseini, 2006. Barriers to production growth and investment in the agricultural sector. Program. 197:4-7.


10. Foley, J.A., R. Defries, G.P. Asner, C. Barford, G. Bonan, S.R. Carpenter, F.S. Chapin, M.T. Coe, G.C. Daily, H.K. Gibbs, J.H. Helkowski, T. Holloway, E.A. Howard, C.J. Kucharik, C. Monfreda, J.A. Patz, I.C. Prentice, N. Ramankutty & P.K. Snyder. 2005. Global consequences of land use. Science, 309(5734): 570–574.


11. Gibson, P., & C Power, 2000. Introductory Remote Sensing: Digital Image Processing and Applications. Routledge, London.


12. Hajinejad, A., M. portaheri & A. Ahmadi. 2009. People’s Participation and Rural Development in Solgi District of Nahavand County. Human Geography Research 42(70): 91-109.


13. Jiang, Y., J. Liu, Q. Cui, X. An & C. Wu, 2011. Land use/land cover change and driving force analysis in Xishuangbanna Region in 1986—2008, Front of earth science, 5(3): 288-293.


14. Mahdavi, A., Fathizad, H & Shataee Jouibari, SH. 2015. Evaluation and analysis of different changes detection methods of land use/vegetation cover (Case Study: Forest protected area of Manesht, Ilam), J. of Wood & forest Science and Technology, 21 (4): 187-210.


15. Monshizade, R.A & F. Khoshhal. 2005. The impact of tourism on land use changes in Lahijan Provence (with emphasis on rural land). Scientific Journals Management System. 5: 89-106


16. Rahman, A., K. Sunil, S. Fazal & A. Siddiqui, 2012. Assessment of Land use/land cover Change in the North-West District of Delhi Using Remote Sensing and GIS Techniques. Journal of indian society remote sensing. 40(4): 689-697.


17. Ramesh, B & N. Krishnan, 1991. Application of remote sensing for analysis of urban fringe dynamics—case study of Jaipur, India. Proceeding Asian Conference on Remote Sensing (ACRS). http://www.a-a-r-s.org/acrs/proceeding/ ACRS1991/Papers/PS191-8.htm.


18. Sepehry, A., & Gang- Jun L, 2006. Flood induced land cove change detection using multitemporal ETM+ imagery, Center for Remote Sensing of land surface, Bonn: 28-30.


19. Shahidi, M.S., Z.S. Ardestani & M.M. Godarzi Sorosh, 2009. An Investigation of the Role of Tourism in Rural Areas (Case study: Dehestan Lavasan). Human Geography Research. 42(67): 99-114.


20. Singh, P & Khanduri, K, 2011. Land use and land cover change detection through Remote Sensing & GIS technology: case study of pathankot and dhar kalan tehsils,Punjabl/international Journal of Geomatics And Geosciences, 4: 839-846.


21. Rafieyan, O., Darvish sefat, A & Namirian, M. 2006. Change detection of the northern forests using of satellite imagery of ETM+ Sensor between 1993 to 2000years. Journal of Science and Technology of Agriculture and Natura Resources, 10: 3. 277-286.


22. Rawat, J.S., V. Biswas & M. Kumar, 2013. Changes in land use/cover using geospatial techniques: A case study of Ramnagar town area, district Nainital, Uttarakhand, India, The Egyptian Journal of Remote Sensing and Space Sciences. 16: 111-117.


23. Vitousek, P. M., H.A. Mooney, J. Lubchenco & J.M. Melillo, 1997. Human domination of earth’s ecosystems. Science, 277: 494-499


24. Wang X.H & Y.H. Bao, 1999. Study on the methods of land use dynamic change research. Progress in Geography, 18(1): 81–87.


25. Yuan, F., Sawya, K.E., Loeffelhoze, B.C & Bauer, M.E 2005. Land cover classification and change analysis of theTwin cities (minnesota) metropolitan area by multi temporal land sat remote sensing. Remote Sensing of Environment, 98: 317-328.