Remote Sensing and Land Use

Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover. As the latest launched satellite from the LANDSAT family, LANDSAT 8 has opened new possibilities for understanding the events on the Earth with remote sensing. Th…

• UĞUR AVDAN

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• İSMAİL ÇÖLKESEN

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• TAŞKIN KAVZOĞLU

In face recognition tasks, the dimension of the sample space is typically larger than the number of the samples in the training set. As a consequence, the within-class scatter matrix is singular and the Linear Discriminant Analysis (LDA) method cannot be applied directly. This problem is known as the "small sample siz…

• HAKAN ÇEVİKALP

Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere. Many LST retrieval algorithms based on remotely sensed images have been introduced so far, where the Land Surface Emissivity (LSE) is one of the main factors af…

• ALİİHSAN ŞEKERTEKİN

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More than most European cities, Istanbul is experiencing considerable pressure from urban development due to a rapidly increasing population. As a consequence the land use activities in urban and suburban areas are changing dramatically. To provide cost-effective information about the current state and how it is chang…

• AYŞE FİLİZ SUNAR

The rapid development of world‐wide urbanization causes many problems, such as infrastructure planning, uncontrolled urban sprawl and a concentration of resources at the expense of the surrounding countryside. Hence, planners and resource managers need a reliable mechanism to assess the consequences of urbanization qu…

• AYŞE FİLİZ SUNAR

The object-based analysis of remotely sensed imagery provides valuable spatial and structural information that is complementary to pixel-based spectral information in classification. In this paper, we present novel methods for automatic object detection in high-resolution images by combining spectral information with…

This study aims to examine the performance of Random Forest (RF) and Maximum Likelihood Classification (MLC) method to crop classification through pixel-based and parcel-based approaches. Analyses are performed on multispectral SPOT 5 image. First, the SPOT 5 image is classified using the classification methods in pix…

• ÖZLEM AKAR

This study aims to examine the performance of Random Forest (RF) and Maximum Likelihood Classification (MLC) method to crop classification through pixel-based and parcel-based approaches. Analyses are performed on multispectral SPOT 5 image. First, the SPOT 5 image is classified using the classification methods in pix…

• ASLI ÖZDARICI OK

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• TAŞKIN KAVZOĞLU