Investigation of the Possibility to Prepare Supervised Classification Map of Gully Erosion by RS and GIS
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 subbasin,
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.
[1] 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.
[2] J.A. Martinez-Casasnovas, A spatial information technology approach
for the mapping and quantification of gully erosion, Catena, vol. 50, no.
2-4), pp. 293-308, 2003.
[3] G. Bocco, Gully erosion: processes and models, Progress in Physical
Geography, vol. 15, no. 4, pp. 392-406, 1991.
[4] A. Mohammadi-Torkashvand, Investigation of Some Methodologies for
Gully Erosion Mapping. J. Appl. Sci., vol. 8, no.13, pp. 2435-2441,
2008.
[5] 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.
[6] 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.
[7] D. Goosen, D., Aerial photo interpretation in soil survey. Soil Bulletin.
6. FAO, Rome., 1967.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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.
[1] 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.
[2] J.A. Martinez-Casasnovas, A spatial information technology approach
for the mapping and quantification of gully erosion, Catena, vol. 50, no.
2-4), pp. 293-308, 2003.
[3] G. Bocco, Gully erosion: processes and models, Progress in Physical
Geography, vol. 15, no. 4, pp. 392-406, 1991.
[4] A. Mohammadi-Torkashvand, Investigation of Some Methodologies for
Gully Erosion Mapping. J. Appl. Sci., vol. 8, no.13, pp. 2435-2441,
2008.
[5] 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.
[6] 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.
[7] D. Goosen, D., Aerial photo interpretation in soil survey. Soil Bulletin.
6. FAO, Rome., 1967.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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.
@article{"International Journal of Earth, Energy and Environmental Sciences:52613", author = "Ali Mohammadi Torkashvand and Hamid Reza Alipour", title = "Investigation of the Possibility to Prepare Supervised Classification Map of Gully Erosion by RS and GIS", abstract = "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 subbasin,
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.", keywords = "Supervised classification, Gully erosion, Map.", volume = "3", number = "7", pages = "209-3", }
