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New POS calibration method for improving accuracy of a special mini SAR imaging system

Chen J. | Guo Z. | Wang S. | Du W. | Kutoğlu, Hakan Şenol

Article | 2017 | Boletin Tecnico/Technical Bulletin55 ( 17 ) , pp.561 - 568

In order to solve the problem of positioning accuracy of the miniature synthetic aperture radar (Mini SAR) remote sensing system, an error estimation method based on Position and Orientation System (POS) data and error theory is proposed. This method analyzed the characteristics of small POS data and error theory, which named Error Estimation Method Based on Double Observations (EEMDO). EEMDO has realized the problem of small Inertial Measurement Unit and Global Position System (IMU/GPS) measurement error assessment. With Range-Doppler model, the range localization accuracy problem of Mini SAR has been solved. First of all, accordin . . .g to the plane measurement no difference between precise point positioning (PPP) and differential GPS (DGPS), the double observations approximate equal observation, and the weighted by the number of measurements is the same to the precise, used to estimate the measurement error of POS. Finally, combine with the Range-Doppler model, the result of range position accuracy of Mini SAR image is calculated. In order to validate the EEMDO, the simultaneous high-precision DGPS data of POSAV 610and control point data were used for verification respectively. The evaluation results show that the EEMDO can estimate the orbit parameter errors which can accurately calculate the plane position error and improve the range direction absolute positioning error. The EEMDO does not require IMU precision calibration equipment or large calibration experiments and can estimate the error of Mini SAR orbital parameters quickly and efficiently, facilitating and encouraging the use of Mini SAR remote sensing systems Daha fazlası Daha az

Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method

Arca D. | Kutoğlu, Hakan Şenol | Becek K.

Article | 2018 | Environmental Monitoring and Assessment190 ( 12 ) , pp.561 - 568

Landslides are geomorphological phenomena that affect anthropogenic and natural features on the Earth’s surface. Many previous studies have identified several factors that have contributed to landslides. Among these factors are physical characteristics, such as slope, aspect, and land cover, of Earth’s surface. Moreover, landslides can be triggered by human activities such as underground mining. This study aims to identify landslide susceptibility areas by analyzing landslide-related factors, including land subsidence triggered by underground mining. The area of interest was Kozlu, Turkey, where underground mining has been in progre . . .ss for the past 100 years. Thus, to identify landslide risk zones, the multicriteria decision analysis method, together with the analytical hierarchy method, was used. The datasets included were topography, land cover, geological settings, and mining-induced land subsidence. The spatial extent of land subsidence was estimated using a previously published model. A landslide susceptibility map (LSM) was developed using a purposely developed GIS-based software. The results were compared with a terrain deformation map, which was developed in a separate study using the differential synthetic aperture radar interferometry (DInSAR) technique. The results showed a substantial correlation between the LSM and DInSAR map. Furthermore, it was found that ~ 88% of the very high and high landslide risk areas coincided with location of the past landslide events. These facts suggest that the algorithm and data sources used were sufficient to produce a sufficiently accurate LSM, which may be used for various purposes such as urban planning. © 2018, The Author(s) Daha fazlası Daha az

Kutoğlu, Hakan Şenol | Çelik, Rahmi Nurhan

Editorial | 2008 | Journal of Geodesy82 ( 3 ) , pp.177 - 178

[No abstract available]

Monitoring spatial and temporal land use/cover changes; a case study in Western Black Sea region of Turkey.

Alkan, Mehmet | Oruç, Murat | Yıldırım, Yılmaz | Şeker, Dursun Zafer | Jacobsen, Karsten

Article | 2013 | Journal of the Indian Society of Remote Sensing41 ( 3 ) , pp.587 - 596

Rapid land use/land cover changes have taken place in many cities of Turkey. Land use and land cover changes are essential for wide range of applications. In this study, Landsat TM satellite imageries date from 1987, 1993, 2000 and 2010 were used to analyse temporal and spatial changes in the Western Black Sea Region of Turkey. Zonguldak and Eregli two largest and economic important cities which have been active coal mining and iron fabric areas. Maximum Likelihood Classification technique was implemented and the results were represented in classes of open area, forest, agricultural, water, mining, urban and pollution in the sea. Ur . . .ban areas on both cities increased from 1987 to 2010. The agricultural and open areas from 1987 to 2010 decreased in parallel to land use and land cover change in both cities. Meanwhile, forest areas increased continuously with about 20 % from 1987 to 2010 in both cities. As industrial activity, the coal fields doubled from 1987 to 2010. © 2013 Indian Society of Remote Sensing Daha fazlası Daha az

Detection of coal ash turbidity in marine environment using remote sensing

Yıldırım, Yılmaz | Alkan, Mehmet | Oruç, Murat

Article | 2009 | Fresenius Environmental Bulletin18 ( 11 ) , pp.2072 - 2078

Power production using fossil fuels can bring significant adverse effects on the surrounding environment. In this study, detection of industrial ash turbidity from a coal-fueled power plant in marine water and its interaction with marine environment were evaluated using 3 satellite imageries. To this aim, e-Cognition v.4.0.6 software was utilized to perform detection, classification and comparison of the polluted area in the aquatic marine environment using Landsat-5 TM satellite imageries and Landsat-7 ETM + satellite imagery. Total polluted area, obtained from Landsat satellite imageries, was classified into 3 regions: highly poll . . .uted, moderately polluted and less polluted region, and their polluted field dimensions were evaluated to be 10.19 km2and 7.50 km2 for Landsat TM imageries as well as 37.73 km2 for Landsat ETM+ imagery. Total suspended solids (TSS) levels were determined as 2380±213 mg.L-1, 361±118 mg.L-1 and 57±24 mg.L-1for the highly, moderately and less polluted regions, respectively. This study may serve as a database for future comparisons to identify the trend of improvement or deterioration of coastal environment of Zonguldak Daha fazlası Daha az

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