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  • Ali Mohammadi Torkashvand Lecturer

Anahtar Kelimeler:

Constraint based routing, Link Utilization, Subset split method and Traffic Engineering.


This study investigates the possibility providing gully erosion map by the supervised classification of satellite images (ETM+ ) in two mountainous and plain land types. These land types were the part of Varamin plain, Tehran province, and Roodbar sub- basin, Guilan province, as plain and mountain land types,
respectively. The position of 652 and 124 ground control points were recorded by GPS respectively in mountain and plain land types. Soil gully erosion, land uses or plant covers were investigated in these points. Regarding ground control points and auxiliary points, training points of gully erosion and other surface features were introduced to
software (Ilwis 3.3 Academic). The supervised classified map of gully erosion was prepared by maximum likelihood method and then, overall accuracy of this map was computed. Results showed that the possibility supervised classification of gully erosion isn’t possible, although it need more studies for results generalization to other mountainous regions. Also, with increasing land uses and other surface features in plain physiography, it decreases the classification of accuracy.


J. W. A. Poesen and J. M. Hooke, Erosion, flooding and channel management in Mediterranean environments of southern Europe, Progress in Phys. Geog., 21, 157–199, 1997.

J.A. Martinez-Casasnovas, A spatial information technology approach for the mapping and quantification of gully erosion, Catena, vol. 50, no. -4), pp. 293-308, 2003.

G. Bocco, Gully erosion: processes and models, Progress in Physical Geography, vol. 15, no. 4, pp. 392–406, 1991.

A. Mohammadi-Torkashvand, Investigation of Some Methodologies for Gully Erosion Mapping. J. Appl. Sci., vol. 8, no.13, pp. 2435-2441, 2008.

J.A. Zinck, J. Lopez, G. I. Metternicht, D. P. Shrestha, and L. Vasquez- Selem, Mapping and modeling mass movements and gullies in mountainous areas using remote sensing and GIS techniques, Int. J. Appl. Earth Observ. Geoinform., vol. 3, no.1, pp.43–53, 2001.

J.A. Martinez-Casanovas, M. C. Ramos, and J. Poesen, Assessment in sidewall erosion in large gullies using multi-temporal DEMs and logistic regression analysis, Geomorphology, vol. 58, pp. 305–321, 2004.

D. Goosen, D., Aerial photo interpretation in soil survey. Soil Bulletin. 6. FAO, Rome., 1967.

L. Stromquist, A multilevel approach to soil-erosion surveys, Examples from the Lesotho lowlands, P. 1-12. In L. Stromquist (ed.) Monitoring soil loss at different observation levels-Case studies of soil erosion in the

Lesotho Lowlands. UNGI Uppasala University, Uppasala. 1990.

B.E. Frazier, D. K. Mc Cool, and C. F. Engle, Soil erosion in the palouse: An aerial perspective. J. Soil and Water Cons., vol. 38, pp. 70- 74. 1983.

L. Stromquist, B. Lunden, and Q. Chakela, Sediment sources, sediment transfer in a small Lesotho catchmaent- A pilot study of the spatial distribution of erosion features and their variation with time and climate.

South Afric. Georg. J., vol. 67, pp. 3-13, 1985.

M. Raoofi, H. Gh. Refahi, N. Jalali, and F. Sarmadian, A study of the efficiency of digital processing methods of satellite images to map and locate soil erosion, Iranian J. Agr. Sci., vol. 35, no. 4, pp.797-807, 2004.

F. Rahnama, International design for providing erosion features map in the part of Isfahan province, Iran. Workshop of modern technologies designs (GIS-RS) in soil conservation. 7-8 febrevery 2003. Soil

Conservation and Watershed management Research Institute, Tehran, Iran.

T. Sirvio, A. Rebeiro-Hargrave, and P. Pellikka, Geo-information in gully erosion studies in Taita hills, SE-Kenya, preliminary results. In the proceedings of the 15th Africa association of remote sensing of

environment conference, 17-22 oct. 2004. Nairobi, Kenya.

L. Allan James, D. G. Watson, and F. H. William, Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA. Catena, vol. 71, no.1, pp. 132-144, 2007.

A. Mohammadi-Torkashvand, D. Nikkami, and M. Esfandiari, Investigation of methodology for preparing erosion features map, case study: Tehran Kan-Sologhan basin. In the Proceeding 3th Erosion and

Sediment National Conference, 28-31 August, 2005. Soil Conservation and Watershed management Research Institute, Tehran, Iran.

M. Hajigholizadeh, Capability using high resolution satellite images in distinguishes some erosion features in Tehran province, Iran. In the Proceeding 3rd Erosion and Sediment National Conference, 28-31

August, 2005. Soil Conservation and Watershed management Research Institute, Tehran, Iran.

N. K. Tripathi, and A. M. Rao, Investigation of erosion on Hope Island using IRS-ID LISSIII data. Int. J. Rem. Sens., vol. 22, pp.883-888, 2001.

G. Sujatha, R. S. Dwivedi, K. Sreenivas, and L. Venkataratnam, Mapping and monitoring of degradaded lands in part of Jaunpur district in Uttar Pradesh using temporal spaceborne multispectral data. Int. J. Rem. Sens., vol. 21, pp. 519-531. 2000.



Nasıl Atıf Yapılır

Torkashvand, A. M. (2022). INVESTIGATION OF THE POSSIBILITY TO PREPARE SUPERVISED CLASSIFICATION MAP OF GULLY EROSION BY RS AND GIS. MMM International Journal of Advances in Engineering, Architecture and Mathematics, 1(1). Geliş tarihi gönderen