Browsing by Author "Yeler, O."

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Examination of Campus Landscape Development From Past To Present: the Case of Van Yüzüncü Yıl University
(Peter Lang Publishing Group, 2023) Yeler, O.; Örek, A.
University campuses around the world are rapidly developing and changing in terms of both educational infrastructure and creating living spaces. With this change, there is a need for more design and planning in campus landscapes. In parallel with this, long and short- term plans should be put forward. For example, studies should be carried out at the scale of the master plan, and the sub- scale studies should proceed by this plan. In this study, the Van YYU campus landscape development, which has a 40- year history and settled on a large area of 720 ha in terms of land size, has been examined under different headings. In this context, the current situation of the campus, the use of the campus and its surroundings, the building construction dates, the general landscape situation, the general landscape design approach, and the open and green space qualities have been examined and presented with visual maps. It has been observed that the connections between open green spaces and buildings in the campus landscape are weak, these connections have been strengthened with the projects implemented in recent years, and open green spaces providing functional use have been added. It has been observed from the past to the present that the campus landscape designs have not progressed within the framework of a certain concept, and it has been observed that the use of open green spaces has been tried to be created by making additions to the surroundings of the buildings made in line with the needs in general. However, it has been determined that studies such as the master plan study and joint open green space planning made in recent years contribute to creating a holistic concept in landscape designs for the university at this point. © 2023 Peter Lang GmbH, Internationaler Verlag der Wissenschaften.
Monitoring the Wheat, Corn and Cotton Areas in an Eastern Mediterranean Agricultural Basin Between 2007 and 2013
(International Society for Photogrammetry and Remote Sensing, 2016) Satir, O.; Yeler, O.
Detecting the seasonal agricultural crop pattern accurately is a vital part of the agricultural planning. In this extent, Cukurova Region that is located in Eastern Mediterranean Region of Turkey was evaluated on agricultural landscape pattern. This region is the most productive agricultural region of Turkey also crop variability and yield are higher than many parts of the world. The main agricultural part of the area is called Lower Seyhan Plane (LSP) and it has been formed by the Seyhan, Ceyhan and Berdan rivers. The purpose of the study was to define the wheat, corn and cotton crop pattern using multi-temporal Landsat satellite images and object based classification approach for 2007 and 2013 cropping years. Three main crop's areal difference were evaluated and changes were monitored between 2007 and 2013. The accuracy of the classifications were obtained by the spatial kappa statistics. Overall kappa accuracy was derived to be 0.9. Classification results were shown that wheat areas were decreased 35% and corn and cotton areas were increased 49% and 69% respectively. Particularly, government subventions and market demands were impacted cropping pattern in the region significantly. In addition, multi-temporal Landsat images and object based classification were a great combination to define regional agricultural crop pattern with very good accuracy (>90%). © 2018 International Society for Photogrammetry and Remote Sensing. All Rights Reserved.
Object Based Classification of Crop Pattern Using Multi-Temporal Satellite Dataset in Multi-Cropped Agricultural Areas: Lower Seyhan Plane Case Study
(Centenary University, 2017) Yeler, O.; Şatir, O.; Berberoğlu, S.
Lower Seyhan Plane (LSP) is one of the most productive agricultural basins of Turkey and it covers main part of the Çukurova Region. The crop productivity in the study area is much more than most developed countries and Turkey’s average productions. Ideal spatial conditions such as climate, soil and transportation for agriculture creates these productive lands. The aim of this research was to define winter and summer crop pattern using multi-temporal Landsat satellite dataset applying object based classification technique. Crop pattern was detected according to 2013 hydrological term (October 2012 – September 2013) as winter and summer. Landsat dataset was defined according to the greenest and cloud free times of the crops. Object based classification was applied because of regular parcel distribution of the crops. As a result of the study; general kappa coefficiency of LSP was obtained as 0.9. According to the results, it was found that while wheat, potato and onion for winter crops were determined as areal distribution, corn and cotton as first crop and corn as second crop in summer season. © 2017, Centenary University. All rights reserved.