REVIEW PAPER
Using the Geographical Information System
and Remote Sensing Techniques for Soil
Erosion Assessment
Nuket Benzer
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Landscape Architecture Ankara, Turkey
Pol. J. Environ. Stud. 2010;19(5):881-886
KEYWORDS
ABSTRACT
The objective of this study is to establish a geographical information system method for spatial assessment
of soil erosion based on the universal soil loss equation (USLE), and to evaluate the utility of GIS with
regard to soil erosion mapping. The study area, Goynuk, covers 1,437 square kilometers and is located in the
southeastern part of Bolu, Turkey. In this study, USLE factors including rainfall erosivity (R-factor), soil erodibility
(K-factor), slope and slope length (LS-factor), vegetative cover (C-factor), and conservation practice (Pfactor)
were studied and reviewed. Each factor, which consists of a set of logically related geographic features
and attributes, was used as an input for analysis. A land use map of the study area was generated from (Landsat
TM 2000) satellite imagery. A digital elevation model (DEM) interpolated from elevation contours was used
to generate the slope and LS-factor. Spatial vegetative cover, extracted from Landsat TM imagery, was used
to determine the spatial C-factor and P-factor, values of which are based on experimental results from the literature.
USLE model calculation applied to the resultant polygonal layer gave values of soil loss in
tons/ha/year. These are then ranked into three classes as low, moderate, and high. The study indicated that
highly eroded areas are bare lands and steep conditions, whereas less eroded areas are low slope classes. As a
conclusion the study confirms that the use of GIS and remotely sensed data can greatly enhance spatial modeling
for soil erosion.