Abstract
This study was aimed to identify and evaluate the land use (LU) / land cover (LC) classes as a function of slope categories by analyzing the current satellite image and Digital Elevation Model (DEM) /SRTM. In order to achieve the objectives of the study various data sources and methods were used. Very recent land sat image in combination with the ground truth data were used as the principal data source for the classification of the LU/LC and the DEM was used for the classification of the slope classes. The ground truth data of the different LU/LC and the slope data were collected through field survey using GPS and clinometer, respectively. The ground truth data was used as a reference for interpretation and the classification of the image. Supervised classification method and the Gaussian maximum likelihood classification algorithm were used and the study area was classified in to eight LU/LC classes. Similarly, ten slope categories were produced by using DEM. Finally, the classified satellite image was superimposed with the classified DEM for land use pattern evaluation, and it was found that more than 69% of the study area including very steep slopes is covered with agro-forestry system.
Highlights
Up to date and accurate land use information forms an essential component of local and regional economic planning to ensure that various activities are positioned on the landscape in a rational manner [1]
Our result indicates that the slope classes of the study area range from level to very steep or from zero to greater than 107 % (>47o) (Figure 9)
The classified image depicted that the dominant land use (LU) of the study area is agro forestry mainly in the low and midlands
Summary
Up to date and accurate land use (hereafter LU) information forms an essential component of local and regional economic planning to ensure that various activities are positioned on the landscape in a rational manner [1]. Knowledge of LU and land cover (hereafter LC) is important for many planning and management activities and it is considered as an essential element for modeling and understanding the earth as a system [2]. The definition of land use establishes a direct link between LC and the actions of people in their environment. When LU is defined in economic context, it refers to land use for agricultural, residential or other purposes, etc. The knowledge of the current LU is essential to support the analysis and management of land, vegetation, water resources, and the conservation of biodiversity [1]
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