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Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project

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ABSTRACT

The satellite imagery has been effectively utilized for classifying land cover types and detecting land cover conditions. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor imagery has been widely used in classification process of land cover. However, atmospheric corrections have to be made by preprocessing satellite sensor imagery since the electromagnetic radiation signals received by the satellite sensors can be scattered and absorbed by the atmospheric gases and aerosols. In this study, an ASTER sensor imagery, which was converted into top-of-atmosphere reflectance (TOA), was used to classify the land use/cover types, according to COoRdination of INformation on the Environment (CORINE) land cover nomenclature, for an area representing the heterogonous characteristics of eastern Mediterranean regions in Kahramanmaras, Turkey. The results indicated that using the surface reflectance data of ASTER sensor imagery can provide accurate (i.e. overall accuracy and kappa values of 83.2% and 0.79, respectively) and low-cost cover mapping as a part of inventory for CORINE Land Cover Project.

No MeSH data available.


The land use/cover map of the study area according to CORINE Land Cover Project.
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f5-sensors-08-01237: The land use/cover map of the study area according to CORINE Land Cover Project.

Mentions: In the Mediterranean region of Turkey, cereals grow in both irrigated and non-irrigated (rainfed) conditions in winter seasons. It is not easy to determine whether they grow in irrigated or rainfed conditions. Besides, some of the irrigated and non-irrigated lands were not cultivated, which leads to problems in distinguishing permanently irrigated lands from non-irrigated arable land. Thus, expert classification system was applied to improve the accuracy of the classified image and arrange the classes according to the CORINE nomenclature [49]. The results from the expert classification were shown in Table 6, indicating the total area and percentages of land use/cover classes based on CORINE Nomenclature. Figure 5 indicates the land use/cover map of the study area according to CORINE Land Cover Project.


Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project
The land use/cover map of the study area according to CORINE Land Cover Project.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927522&req=5

f5-sensors-08-01237: The land use/cover map of the study area according to CORINE Land Cover Project.
Mentions: In the Mediterranean region of Turkey, cereals grow in both irrigated and non-irrigated (rainfed) conditions in winter seasons. It is not easy to determine whether they grow in irrigated or rainfed conditions. Besides, some of the irrigated and non-irrigated lands were not cultivated, which leads to problems in distinguishing permanently irrigated lands from non-irrigated arable land. Thus, expert classification system was applied to improve the accuracy of the classified image and arrange the classes according to the CORINE nomenclature [49]. The results from the expert classification were shown in Table 6, indicating the total area and percentages of land use/cover classes based on CORINE Nomenclature. Figure 5 indicates the land use/cover map of the study area according to CORINE Land Cover Project.

View Article: PubMed Central - PubMed

ABSTRACT

The satellite imagery has been effectively utilized for classifying land cover types and detecting land cover conditions. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor imagery has been widely used in classification process of land cover. However, atmospheric corrections have to be made by preprocessing satellite sensor imagery since the electromagnetic radiation signals received by the satellite sensors can be scattered and absorbed by the atmospheric gases and aerosols. In this study, an ASTER sensor imagery, which was converted into top-of-atmosphere reflectance (TOA), was used to classify the land use/cover types, according to COoRdination of INformation on the Environment (CORINE) land cover nomenclature, for an area representing the heterogonous characteristics of eastern Mediterranean regions in Kahramanmaras, Turkey. The results indicated that using the surface reflectance data of ASTER sensor imagery can provide accurate (i.e. overall accuracy and kappa values of 83.2% and 0.79, respectively) and low-cost cover mapping as a part of inventory for CORINE Land Cover Project.

No MeSH data available.