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The possibility in providing soil surface erosion map by the
supervised classification of ETM+ satellite
images in a mountainous basin (Roodbar sub-basin, Guilan,
Iran)
A. Mohammadi Torkashvand
Islamic Azad University-Rasht Branch, Rasht, Iran. E-mail:
m.torkashvand54@yahoo.com.
Accepted 17 December, 2009 |
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Soil surface erosion is a serious environmental problem
which caused decrease in the
lands agriculture value and increase in sediment and water
pollution.
In this research, the aim is to evaluate the supervised
classification of ETM+ satellite images producing
surface erosion map. The Roodbar sub-basin; downstream
Sefidrood dam, Guilan province, Iran, was considered as
studying basin in a mountainous land type. Results showed
that the overall accuracy of surface erosion classification
is 69.2%, but accuracy differentiates in different
intensities of surface erosion. The greatest accuracy is
related to very high intensity and the lowest accuracy is
for the low intensity of surface erosion.
Key words:
Surface erosion, erosion mapping, supervised classification,
ETM+
images. |
