Investigating the Effects of Land Use Changes on Trend of Desertification Using Remote Sensing (Case Study: Abarkooh Plain, Yazd, Iran)
الموضوعات :
Mohammad Ali Hakimzadeh Ardakani
1
(Yazduni)
Fatemeh Cheshmberah
2
(yazd uni)
Mohammad Hossein Mokhtari
3
(yazduniversity)
الکلمات المفتاحية: Desertification, Landsat, Support vector machine, NDVI, MSAVI,
ملخص المقالة :
More than one-third of the earth is characterized by arid and semi-arid climate and desertification phenomenon in these areas has been intensified in recent decades. This study aims to investigate the trend of desertification using vegetation indices and Iranian Model of Desertification Potential Assessment (IMDPA) in Abarkooh Plain, Yazd province, Iran. The satellite images (Landsat images in May 1987, 2000 and 2013) were used to map the land uses in the region. After the image preprocessing with a supervised classification method (support vector machine) that had the highest accuracy in all years, the map of land use changes was prepared in five kinds of land uses such as residential and industrial lands, agriculture and horticulture lands, arid and desert lands, playa and saline soils, and mountainsT .hen, the desertification map of Abarkooh Plain was prepared by calculating the Normalized Difference Vegetation Index (NDVI( and Modified Soil Adjusted Vegetation Index )MSAVI( according to IMDPA model. Three criteria, urban and residual lands to agricultural land ratio (Ur/Ag), plant canopy density and vegetation renewal indicators were used in IMDPA model. On the basis of the Ur/Ag ratio, 5.74%, 6.74% and 87.52% of the region were characterized by severe, moderate and low desertification, respectively due to land-use change factors. In the viewpoint of aboveground canopy density indicator, desertification in the area was classified into four classes including very severe, severe, moderate, and low desertification. In this regard, 99.06%, 0.76%, 0.13% and 0.05% of the areas are put in very severe, severe, moderate and low desertification classes, respectively. According to vegetation renewal indicator, 92.51%, 3.21% and 4.28% of the area were characterized as unchanged, low and very severe desertification, respectively.
Ahmadi, H., 2005a. The final report of a comprehensive service plan and methodology of benchmarking and evaluation indicators desertification in Iran. Department of Natural Resources, Tehran University Tehran, Iran. (In Persian).
Ahmadi, H., 2005b. Final Report of calibration model in the evaluation of desertification potential in Iran. Department of Natural Resources, Tehran University. Tehran, Iran. (In Persian).
Ahmadi, H., 2004. Iranian model of desertification potential assessment, faculty of natural resources, University of Tehran. 268 p. Tehran, Iran. (In Persian).
Akbari, M., Karimzadeh, H. R., Modarres, R. and Chakoshi, B., 2007. Assessment and Classification of Desertification Using RS & GIS Techniques (Case Study: the Arid Region, in the North of Isfahan). Iranian Jour. Range and Desert Research, Vol. 2, No, 3: 669–681.
Arami, A.H., Ownagh, M. and Sheikh, V. B., 2013. Assessment of desertification hazard using the nine criteria IMDPA model in Semiarid Agh-Band region, Golestan Province. Jour. Water Soil Conservation, Vol. 21, No.2: 153-172.
Bakhshandeh Mehr, L., 2009. Quantitative assessment of desertification percent status in east Isfahan and development of a regional model (Emphasis on MEDALUS Method). M.Sc. thesis, Faculty of Natural Resources, Isfahan University of Technology. (In Persian).
Boyd, D.S., Foody, G.M., Curran, P.J., Lucast, R.M. and Honzak, M., 1996. An assessment of radiance in Land sat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration. Int. Jour. Remote Sensing, Vol. 177, No. 2: 23-34.
Callado, D. and Camarasa, A., 2002. Satellite remote sensing analysis to monitor desertification processes in the crop-rangeland boundary of Argentina. Jour. Arid Environment, Vol. 52. No. 2: 121-133.
Darvishzadeh, R., 2012. Estimation of vegetation fraction in the Central arid region of Iran using satellite images (Case study: Sheitoor basin, Bafgh). Arid Biome Scientific and Research Jour., Vol. 2, No. 1:25-38. (In Persian).
Ekhtesasi, M.R. and Sepehr, A., 2011. Methods and Models of Desertification Assessment and Mapping, Yazd University press, 288 p. (In Persian).
Esfandiari, M. and Hakimzadeh Ardakani, M. A., 2011. Evaluation of active desertification with emphasis on the soil degradation by IMDPA model (case study: Abadeh-Tashk, Fars). Iranian Jour. Range and Desert Research, Vol. 17, No. 4: 624-631. (In Persian).
Fathizad, H., Arekhi, S. and Tazeh, M., 2013. Assessment of different methods of land use changes detection using satellite images (Case study: Dry region of Mehran). Arid Biome Scientific and Research Jour., Vol. 3, No. 1: 56- 68. (In Persian).
GEF-IFAD, 2002. Talking land degradation and desertification, Gef-Ifad Partnership. 10p.
Habibipoor, A., Akbari, H. and Talebi, A., 2014. Investigation of desertification status using IMDPA model considering wind and water criteria (Case study: Bahabad region, Yazd province). Geography and Environmental Planning Jour., Vol. 25, No. 2: 151-168. (In Persian).
Hakimzadeh, M. A., 2014. Assessment of Desertification Risk in agricultural land in south of Iran. International Jour. Advanced Biological and Biomedical Research, Vol. 2, No. 3: 669 – 681.
Hakimzadeh Ardekani, M. A., Kousari, M. R. and Esfandiari, M., 2014. Assessment and mapping of desertification sensitivity in central part of Iran. International Jour. Advanced Biological Biomedical Research, Vol. 2, No. 5: 504–1512.
Harasheh, H. and Tateishi, R., 2000. Desertification mapping of west Asia-a GIS and remote sensing application. Center for Environmental Remote Sensing (CEKES), Chiba university Japan.
Hill, J. P., Hostert, G., Tsiourlis, P., Kasapidis, T.H., Udelhoven, C. and Diemer, C., 1998. 20 year of increased grazing impact on the Greek island of Crete with earth observation satellites. Jour. Arid Environment, Vol. 39, No. 3: 165-178.
Khresat, S. and Mohammad, M., 1998. Land degradation in north-western Jordan: Causes and processes. Jour. Arid Environment, Vol. 39, No. 4: 623-629.
Kosmas, C., Grontidis, S.T., Detsis, V., Zafiriou, T.H. and Marathianou, M., 1999. Application of the MEDALUS methodology for defining ESAs in the Lesvos Island, European Commission. Capri, Italy, 24-28.
Lin, C.Y., 1997. A study on the width and placement of vegetated buffer strips in a mudstone-distributed watershed. Jour. China. Soil Water Conserves. In Chinese with English abstract, Vol. 29, No. 3: 250-266.
Mashayekhan, A. and Honardoust, F., 2011. Multi Criteria Evaluation Model for Desertification Hazard Zonation mapping Using GIS (Study Area: Trouti Watershed, Golestan, Iran). Jour. Rangeland Science, Vol. 1, No. 4: 331–339. (In Persian).
Mahmoud, Adel M.A., Mohd Hasmadi, I., Alias, M.S. and Mohamad Azani, A., 2016. Rangeland Degradation Assessment in the South Slope of the Al-Jabal Al- Akhdar, Northeast Libya Using Remote Sensing Technology. Jour. Rangeland Science, Vol. 6, No. 1: 73-81.
Mesbahzadeh, T., Ahmadi, H., Zehtabian, G., Sarmadian, F. and Moghiminejad, F., 2013. Calibration of IMDPA model with regarding to land criteria to present regional model for desertification intensity (Case study: Abuzaidabad, Kashan). Iranian Jour. Range and Watershed, Vol. 66, No. 3: 469-476 (In Persian).
Qi, J., Chehbouni, A., Huete, A.R. and Kerr, Y. H., 1994. Modified soil adjusted vegetation Index MSAVI. Remote Sensing of Environment, Vol. 48, No. 4: 119-126.
Rouse, J.W., Haas, R.H., Schell, A. and Deering, D. W., 1973. Monitoring vegetation systems in the Great Plains with ERTS, Third ERTS symposium, NASA. 309–317.
Sabin, F. F., 1996. Remote sensing: Principal and interpretation 3rd Ed., W.H. Freman and company, New York. 492 p.
Sepehr, A. and Mottaghi, M. R., 2002. Using Vegetation Indices for Estimation of Canopy Cover Percentage of Rangeland Vegetation (In Protected Area of Jahan–Nama, Gorgan). Iranian Jour. Natural Resources, Vol. 55, No. 2: 259-251. (In Persian).
Skutsch, M., Bird, N., Trines, E., Dutschke, M., Frumhoff, P., de Jong, B. H. J., Van Laake, P., Masera, O. and Murdiyarso, D., 2007. Clearing the way for reducing emissions from tropical deforestation. Environmental Science & Policy, Vol. 10, No. 4: 322-334.
Toranjzar, H. and Poormoridi, M., 2012. Desertification Evaluation Using IMDPA Model (Case Study: Taraz Nahid, Saveh, Iran). Jour. Rangeland Science, Vol. 3, No.1: 83–94. (In Persian).
Tueller, P. T., 1987. Remote sensing science application in arid environments. Remote Sensing of Environment, Vol. 23, No. 2: 143–154.
