Abstract
Deprem riski, belirli bir zaman diliminde meydana gelebilecek depremlerin olası ekonomik, sosyal ve çevresel sonuçlarının belirlenmesi olarak tanımlanabilir. Risk çalışmalarında öncelikle tehlikenin tanımlanması gerekmektedir, sonrasında ise risk altındaki unsurların belirlenmesi ve risk kontrol noktalarının geliştirilme planları yapılmalıdır. Ülkemiz tektonik ve jeolojik yapısı sebebiyle depremlere sık sık maruz kalmakta olup, depremler arşiv kayıtlarına göre can ve mal kaybının en çok yaşandığı doğal afet türüdür. Bu çalışmada, uzaktan algılama tekniklerinden kontrollü sınıflama yöntemi ile farklı yıllara ait Landsat-OLI 8 uydu görüntüleri yardımıyla yapılaşma bölgelerinde değişim tespit analizleri yapılmıştır. CORINE arazi örtü haritasındaki sınıflar temel alınarak analizler gerçekleştirilmiştir. Sonuç olarak bu çalışma ile bölgesel ve kentsel deprem risk değerlendirmelerinde yapılaşmanın planlı yapılmasının önemine dikkat çekilmiştir. Uzaktan algılama teknikleriyle elde edilen sonuçlar bölgede yapılması planlanan deprem risk çalışmaları için önemli altlık bilgisini oluşturacaktır. Fiziksel ve sosyo-ekonomik kayıpların azaltılması açısından da önemli bir çalışmadır.
References
- Adep R.N., Shetty A., Ramesh H., (2017). EXhype: A tool for mineral classification using hyperspectral data, ISPRS Journal of Photogrammetry and Remote Sensing, 124, 106-118.
- Aswatha S.M., Mukhopadhyay J., Biswas P.K., (2017). Semi-supervised classification of land cover in multi-spectral images using spectral slopes, Proceedings Ninth International Conference on Advances in Pattern Recognition (Icapr) içinde, Bangalore, India, ss.338-343.
- Awad M.M., (2018). Forest mapping: a comparison between hyperspectral and multispectral images and technologies, Journal of Forestry Research, 29, 1395-1405.
- Borges E.F., Sano E.E., (2014). Temporal series of EVI from MODIS sensor for land use and land cover mapping of western Bahia, BCG - Boletim de Ciências Geodésicas, doi:10.1590/S1982-21702014000200030.
- Elmahdy S.I., Mohamed M.M., (2016). Land use/land cover change impact on groundwater quantity and quality: a case study of Ajman Emirate, the United Arab Emirates, using remote sensing and GIS, Arabian Journal of Geoscience, doi: 10.1007/s12517- 016-2725-y.
- Emre Ö., Duman T.Y., Özalp S., Şaroğlu F., Olgun Ş., Elmacı H., Çan T., (2018). Active fault database of Turkey, Bulletin of Earthquake Engineering, 16(8), 3229-3275.
- Kadirioğlu F.T., Kartal R.F., Kılıç T., Kalafat D.., Duman T.Y., Azak T.E., Emre Ö., (2018) An improved earthquake catalogue (M≥ 4.0) for Turkey and its near vicinity (1900–2012). Bull Earthq Eng 16(8):3317–3338
- Karakus P., Karabork H., Kaya S., (2017). A comparison of the classification accuracies in determining the land cover of Kadirli Region of Turkey by using the pixel based and object based classification algorithms, International Journal of Engineering and Geosciences (IJEG), 2(2), 52-60.
- Kruse F.A., Lefkoff A.B., Boardman J.B., Heidebrecht K.B., Shapiro A.T., Barloon P.J., Goetz A.F.H., (1993). The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data, Remote Sensing of Environment
Evaluation of Changes in Building Inventory with Using The Remote Sensing in A Decade in Kocaeli Province
Abstract
Earthquake risk can be defined as determining the possible economic, social and environmental effects of earthquakes in a specific time period. In risk studies, the hazard should be first defined, then the risk factors should be determined, and plans should be developed for risk control points. According to archival records, in Turkey earthquakes are the most common type of natural disasters where loss of life and property is experienced. Turkey is frequently exposed to earthquakes due to its tectonic and geological structure. In this study, Land use changes detection analyzes were carried out in the residential areas with the help of Landsat-OLI 8 satellite images of different years with the controlled classification method from Remote Sensing techniques. As a result, this study highlighted the importance of planned construction in regional and urban earthquake risk assessments. The results obtained with remote sensing techniques will constitute important base information for earthquake risk studies intended to be carried out in the region. It is also an important study to reduce physical and socio-economic losses due to potential earthquakes.
References
- Adep R.N., Shetty A., Ramesh H., (2017). EXhype: A tool for mineral classification using hyperspectral data, ISPRS Journal of Photogrammetry and Remote Sensing, 124, 106-118.
- Aswatha S.M., Mukhopadhyay J., Biswas P.K., (2017). Semi-supervised classification of land cover in multi-spectral images using spectral slopes, Proceedings Ninth International Conference on Advances in Pattern Recognition (Icapr) içinde, Bangalore, India, ss.338-343.
- Awad M.M., (2018). Forest mapping: a comparison between hyperspectral and multispectral images and technologies, Journal of Forestry Research, 29, 1395-1405.
- Borges E.F., Sano E.E., (2014). Temporal series of EVI from MODIS sensor for land use and land cover mapping of western Bahia, BCG - Boletim de Ciências Geodésicas, doi:10.1590/S1982-21702014000200030.
- Elmahdy S.I., Mohamed M.M., (2016). Land use/land cover change impact on groundwater quantity and quality: a case study of Ajman Emirate, the United Arab Emirates, using remote sensing and GIS, Arabian Journal of Geoscience, doi: 10.1007/s12517- 016-2725-y.
- Emre Ö., Duman T.Y., Özalp S., Şaroğlu F., Olgun Ş., Elmacı H., Çan T., (2018). Active fault database of Turkey, Bulletin of Earthquake Engineering, 16(8), 3229-3275.
- Kadirioğlu F.T., Kartal R.F., Kılıç T., Kalafat D.., Duman T.Y., Azak T.E., Emre Ö., (2018) An improved earthquake catalogue (M≥ 4.0) for Turkey and its near vicinity (1900–2012). Bull Earthq Eng 16(8):3317–3338
- Karakus P., Karabork H., Kaya S., (2017). A comparison of the classification accuracies in determining the land cover of Kadirli Region of Turkey by using the pixel based and object based classification algorithms, International Journal of Engineering and Geosciences (IJEG), 2(2), 52-60.
- Kruse F.A., Lefkoff A.B., Boardman J.B., Heidebrecht K.B., Shapiro A.T., Barloon P.J., Goetz A.F.H., (1993). The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data, Remote Sensing of Environment
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Geological Sciences and Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Publication Date | June 30, 2022 |
| Acceptance Date | June 27, 2022 |
| Published in Issue | Year 2022 Volume: 6 Issue: 1 |
