Onder Gursoy

@cumhuriyet.edu.tr

Geomatics Engineering/ Engineering
Sivas Cumhuriyet University



           

https://researchid.co/ogursoy
11

Scopus Publications

Scopus Publications

  • Non-destructive above ground biomass estimation of individual tree species using airborne LiDAR data for combating global warming
    Nuray Baş, Kenan Koç, Tarık Türk, Rutkay Atun, and Önder Gürsoy
    Inderscience Publishers

  • Hydrothermal alteration mapping using EO-1 Hyperion hyperspectral data in Kösedağ, Central-Eastern Anatolia (Sivas-Turkey)
    Oktay Canbaz, Önder Gürsoy, Muhittin Karaman, Ayşe Betül Çalışkan, and Ahmet Gökce
    Springer Science and Business Media LLC


  • Investigating surface water pollution by integrated remotely sensed and field spectral measurement data: A case study
    Önder Gürsoy and Rutkay Atun
    HARD Publishing Company
    Water quality assessment using remote sensing and its terrestrial components is carried out in short time for larger areas. Another issue that is as important regarding water availability is access to quality water. It is important to investigate the availability of the analysis of remotely sensed data instead of environmental and chemical analysis that determines water quality and usability. To examine the detection of water qualities without taking water samples in situ, spectral library data was used in the Hafik Region. In this context we used spectral measurement data of water samples previously taken from İmranlı, where the Kızılırmak River originates, and used for spectral classification of water quality. Matched filtering was used for integrating spectral data and CHRIS Proba image as the spectral classification method. To conduct an accuracy analysis, chemical oxygen demand measurement was carried out at 10 points determined as 1st and 2nd water quality in the study area on the river and lakes according to the Ministry of the Environment and Urbanization. The overall accuracy of the classification was calculated as 70%. The results of this study have shown the importance of spectral classification of satellite imagery in evaluating water quality and monitoring water resources.

  • Determination of the block movements in the eastern section of the Gediz Graben (Turkey) from GNSS measurements
    F. Poyraz, K.O. Hastaoğlu, F. Koçbulut, I. Tiryakioğlu, O. Tatar, M. Demirel, H. Duman, C. Aydın, A.F. Ciğer, O. Gursoy,et al.
    Elsevier BV


  • Determining lateral offsets of rocks along the eastern part of the North Anatolian Fault Zone (Turkey) using spectral classification of satellite images and field measurements
    Önder Gürsoy, Şinasi Kaya, Ziyadin Çakir, Orhan Tatar, and Oktay Canbaz
    Informa UK Limited
    ABSTRACT Fault displacements are being measured by geological observations using the method of detecting and evaluating marker rocks. Thus, the length of total displacement in a fault zone relates to position detection of marker rocks. Due to limits of human eye, we used remote sensing data and terrestrial spectral measurements at 229 locations for measuring the total offset along the Kelkit Valley segment of the North Anatolian Fault Zone (NAFZ). We examined the lithology, especially ophiolites that are older than the fault zone and can be a good marker for detecting the total offset in the region. The Advanced Spaceborne Thermal Emission and Reflection Radiometer images are subjected to Spectral Angle Mapper (SAM) method. Principal component analysis, decorrelation stretching and geological map were used to compare the SAM results. Ophiolites on either side of the fault zone were clearly classified and identified with the SAM analysis. As a result of comparison of SAM with image enhancement methods and the geological map, we measured the total fault displacement on the NAFZ in the part of the Kelkit Valley. Along the fault zone to the north and south of the ophiolites providing a right lateral offset was measured as 90 ± 5 km.

  • Detecting of Lithological Units by Using Terrestrial Spectral Data and Remote Sensing Image
    Önder Gürsoy and Şinasi Kaya
    Springer Science and Business Media LLC

  • Determining the Most Appropriate Classification Methods for Water Quality
    Önder Gürsoy
    IOP Publishing
    Assessing water resources’ quality and also monitoring them have attracted lots of attention in the recent years. Remote sensing has been growing widely in the last decade and its resources are very usable when it comes to water resources management. In this study, by using remote sensing technology, satellite images that have 350 to 1050 nanometres wavelength band sensors are used to determine the quality of the Kizilirmak River's water. Through the river's resources, ground based spectral measurements are made to identify the quality differences of the water at the test spots that have been determined before. In this context at Imranli, where the river contacts civilization for the first time, which is located in Sivas city of Turkey, samples are gathered in order to do ground based spectroradiometer measurements. These samples are gathered simultaneously with the image acquiring time of CHRIS Proba satellite. Spectral signatures that are obtained from ground measurements are used as reference data in order to classify CHRIS Proba satellite's hyperspectral images over the study area. Satellite images are classified based on Chemical Oxygen Demand (COD), Turbidity and Electrical Conductivity (EC) attributes. As a result, interpretations obtained from classified CHRIS Proba satellite hyperspectral images of the study area are presented. Spectras are readied for Matched Filtering and Spectral Angle Mapper methods for determining the best classification method.

  • Determining and monitoring the water quality of Kizilirmak River of Turkey: First results
    Ö. Gürsoy, A. C. Birdal, F. Özyonar, and E. Kasaka
    Copernicus GmbH
    Abstract. Water resources are getting more and more important with each passing day in case of survival of humanity. For this reason, assessing water resources’ quality and also monitoring them have attracted lots of attention in the recent years. Remote sensing has been growing widely in the last decade and its resources are very usable when it comes to water resources management. In this study, by using remote sensing technology, satellite images that have 350 to 1050 nanometres wavelength band sensors (e.g. CHRIS Proba) are used to determine the quality of the Kizilirmak River’s water. Kizilirmak River is born and also pours out to sea in country limits of Turkey. It is the longest river of the country by the length of 1355 kilometres. Through the river’s resources, ground based spectral measurements are made to identify the quality differences of the water at the test spots that have been determined before. In this context at Imranli, where the river contacts civilization for the first time, which is located in Sivas city of Turkey, samples are gathered in order to do ground based spectroradiometer measurements. These samples are gathered simultaneously with the image acquiring time of CHRIS Proba satellite. Spectral signatures that are obtained from ground measurements are used as reference data in order to classify CHRIS Proba satellite’s hyperspectral images over the study area. Satellite images are classified based on Chemical Oxygen Demand (COD), Turbidity and Electrical Conductivity (EC) attributes. As a result, interpretations obtained from classified CHRIS Proba satellite hyperspectral images of the study area are presented.

  • Crustal deformation and kinematics of the Eastern Part of the North Anatolian Fault Zone (Turkey) from GPS measurements
    Orhan Tatar, Fatih Poyraz, Halil Gürsoy, Ziyadin Cakir, Semih Ergintav, Zafer Akpınar, Fikret Koçbulut, Fikret Sezen, Tarık Türk, Kemal Ö. Hastaoğlu,et al.
    Elsevier BV