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Niyazi Arslan
Department of Geomatics Engineering, Cukurova University, Ceyhan Campus, 01950 Ceyhan, Turkey

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Journal article
Published: 14 September 2020 in Applied Sciences
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The elaboration of a methodology for accurately assessing the potentialities of blue renewable energy sources is a key challenge among the current energy sustainability strategies all over the world. Consequentially, many researchers are currently working to improve the accuracy of marine renewable assessment methods. Nowadays, remote sensing (RSs) satellites are used to observe the environment in many fields and applications. These could also be used to identify regions of interest for future energy converter installations and to accurately identify areas with interesting potentials. Therefore, researchers can dramatically reduce the possibility of significant error. In this paper, a comprehensive SWOT (strengths, weaknesses, opportunities and threats) analysis is elaborated to assess RS satellite potentialities for offshore wind (OW) estimation. Sicily and Sardinia—the two biggest Italian islands with the highest potential for offshore wind energy generation—were selected as pilot areas. Since there is a lack of measuring instruments, such as cup anemometers and buoys in these areas (mainly due to their high economic costs), an accurate analysis was carried out to assess the marine energy potential from offshore wind. Since there are only limited options for further expanding the measurement over large areas, the use of satellites makes it easier to overcome this limitation. Undoubtedly, with the advent of new technologies for measuring renewable energy sources (RESs), there could be a significant energy transition in this area that requires a proper orientation of plans to examine the factors influencing these new technologies that can negatively affect most of the available potential. Satellite technology for identifying suitable areas of wind power plants could be a powerful tool that is constantly increasing in its applications but requires good planning to apply it in various projects. Proper planning is only possible with a better understanding of satellite capabilities and different methods for measuring available wind resources. To this end, a better understanding in interdisciplinary fields with the exchange of updated information between different sectors of development, such as universities and companies, will be most effective. In this context, by reviewing the available satellite technologies, the ability of this tool to measure the marine renewable energies (MREs) sector in large and small areas is considered. Secondly, an attempt is made to identify the strengths and weaknesses of using these types of tools and techniques that can help in various projects. Lastly, specific scenarios related to the application of such systems in existing and new developments are reviewed and discussed.

ACS Style

Meysam Majidi Nezhad; Riyaaz Uddien Shaik; Azim Heydari; Armin Razmjoo; Niyazi Arslan; Davide Astiaso Garcia. A SWOT Analysis for Offshore Wind Energy Assessment Using Remote-Sensing Potential. Applied Sciences 2020, 10, 6398 .

AMA Style

Meysam Majidi Nezhad, Riyaaz Uddien Shaik, Azim Heydari, Armin Razmjoo, Niyazi Arslan, Davide Astiaso Garcia. A SWOT Analysis for Offshore Wind Energy Assessment Using Remote-Sensing Potential. Applied Sciences. 2020; 10 (18):6398.

Chicago/Turabian Style

Meysam Majidi Nezhad; Riyaaz Uddien Shaik; Azim Heydari; Armin Razmjoo; Niyazi Arslan; Davide Astiaso Garcia. 2020. "A SWOT Analysis for Offshore Wind Energy Assessment Using Remote-Sensing Potential." Applied Sciences 10, no. 18: 6398.

Journal article
Published: 01 November 2019 in Journal of Atmospheric and Solar-Terrestrial Physics
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ACS Style

Niyazi Arslan; AliIhsan Sekertekin. Application of Long Short-Term Memory neural network model for the reconstruction of MODIS Land Surface Temperature images. Journal of Atmospheric and Solar-Terrestrial Physics 2019, 194, 1 .

AMA Style

Niyazi Arslan, AliIhsan Sekertekin. Application of Long Short-Term Memory neural network model for the reconstruction of MODIS Land Surface Temperature images. Journal of Atmospheric and Solar-Terrestrial Physics. 2019; 194 ():1.

Chicago/Turabian Style

Niyazi Arslan; AliIhsan Sekertekin. 2019. "Application of Long Short-Term Memory neural network model for the reconstruction of MODIS Land Surface Temperature images." Journal of Atmospheric and Solar-Terrestrial Physics 194, no. : 1.

Journal article
Published: 30 December 2018 in Geothermics
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Geothermal energy, which is renewable, reliable and environmentally friendly, is one of the most important energy resources. Thus, it is crucial to explore geothermal areas in order to reduce the use of other energy sources that are detrimental to the environment and ecology. Thermal Infrared (TIR) remote sensing is an effective way to detect thermal anomalies in geothermal areas and volcanoes, since it is cost and time effective, and offers to work on a large scale compared to geophysical methods. The aim of this study is to investigate thermal anomalies in Tuzla geothermal region using daytime and nighttime TIR data with reference to Land Surface Temperature (LST) and Radiative Heat Flux (RHF). Many geophysical studies have been conducted in this region; however, it can also be studied with TIR remote sensing for further exploration. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, acquired on 15.06.2012 and 15.07.2017 as daytime image and 15.09.2013 and 31.12.2017 as nighttime image, were utilized as satellite imagery. In addition to ASTER data, we proposed a multi-sensor based LST retrieval for nighttime using Landsat 8 data for emissivity acquisition. In order to evaluate the accuracy of LST images, cross-validation method was utilized with reference to Moderate Resolution Imaging Spectroradiometer (MODIS) LST products. The coefficient of determination (r2) and Root Mean Square Error (RMSE) were considered as statistical metrics and the lowest result was obtained as 90% and 1.76 K, respectively. As a result of the analyses, it was observed that nighttime LST presented better results for thermal anomalies in that geothermal area than daytime LST. Considering geothermal anomaly, the geothermal area had higher LST values even though it held identical or same NDVI values as compared to non-geothermal surroundings. In addition, the net radiative heat loss values were calculated as 17.83 MW and 121.28 MW for 2013 and 2017, respectively. The obtained results proved that TIR remote sensing could be utilized in the studies of geothermal area exploration.

ACS Style

AliIhsan Sekertekin; Niyazi Arslan. Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery – A case study at Tuzla geothermal region. Geothermics 2018, 78, 243 -254.

AMA Style

AliIhsan Sekertekin, Niyazi Arslan. Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery – A case study at Tuzla geothermal region. Geothermics. 2018; 78 ():243-254.

Chicago/Turabian Style

AliIhsan Sekertekin; Niyazi Arslan. 2018. "Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery – A case study at Tuzla geothermal region." Geothermics 78, no. : 243-254.

Journal article
Published: 01 December 2018 in Tehnicki vjesnik - Technical Gazette
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ACS Style

Ramazan Cuneyt Erenoglu; Oya Erenoglu; Niyazi Arslan. Accuracy Assessment of Low Cost UAV Based City Modelling for Urban Planning. Tehnicki vjesnik - Technical Gazette 2018, 25, 1708 -1714.

AMA Style

Ramazan Cuneyt Erenoglu, Oya Erenoglu, Niyazi Arslan. Accuracy Assessment of Low Cost UAV Based City Modelling for Urban Planning. Tehnicki vjesnik - Technical Gazette. 2018; 25 (6):1708-1714.

Chicago/Turabian Style

Ramazan Cuneyt Erenoglu; Oya Erenoglu; Niyazi Arslan. 2018. "Accuracy Assessment of Low Cost UAV Based City Modelling for Urban Planning." Tehnicki vjesnik - Technical Gazette 25, no. 6: 1708-1714.

Article
Published: 18 October 2018 in Environmental Monitoring and Assessment
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Environmental pollution and disasters have gradually increased with the growth of the population. Surveillance of the effects of these incidents is very important for public health. Satellite missions are a very efficient tool for identifying pollutants such as oil spills. The synthetic aperture radar (SAR) sensor is an active microwave sensing system that can be used for oil spill applications with optical sensors mounted on Landsat 8, Sentinel 2, and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite systems taking into account cloud coverage and revisiting time of the satellite at the same location. In this study, the oil spill area caused by a ship running aground at 13:40 local time (LT) on 18 December 2016 was studied on the coast of Ildır Bay (Izmir, Turkey) with Sentinel 1 SAR and Landsat 8 multispectral sensors. Different image-processing techniques were applied to Landsat 8 bands such as minimum noise fraction (MNF), morphology, and convolution filters in order to highlight the oil spill area related to the incident. In the detection stage, oil slicks and look-alikes were successfully distinguished by analyzing the SAR data with Landsat 8 results and the location of the ship. With the visual interpretation of the results, the selected techniques are consistent with each other in terms of showing oil spill areas.

ACS Style

Niyazi Arslan. Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environmental Monitoring and Assessment 2018, 190, 637 .

AMA Style

Niyazi Arslan. Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environmental Monitoring and Assessment. 2018; 190 (11):637.

Chicago/Turabian Style

Niyazi Arslan. 2018. "Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors." Environmental Monitoring and Assessment 190, no. 11: 637.

Article
Published: 24 August 2018 in Environmental Monitoring and Assessment
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Incident electromagnetic radiation hitting the Earth’s surface shows three phenomena as absorptivity, reflectivity and transmissivity where sum of the three is equal to one. The transmissivity is zero when the surface is opaque. There is a strong relationship between absorptivity and emissivity that is explained by Kirchhoff’s Law. Emissivity is managed by the thermal radiation on the Earth’s surface. Thermal radiation related with the heat transfer of the electromagnetic radiation is controlled by passing energy of atoms and molecules. There are different sources of energy other than the Sun such as geothermal activities, volcanoes and manufacturing plants that contributes to the emissivity of the surface. The thermal radiation produced by manufacturing plants contributes to the Earth’s surface temperature as well. In this study, land surface temperatures were estimated by using inverse Planck function from five Advanced Spaceborne Thermal Emission and Reflection Radiometer remote-sensing satellite sensor thermal infrared bands. It is aimed to highlight hotspots related to manufacturing plants in the region of Kocaeli, Turkey. The hotspots are examined statistically with the minimum noise fraction, the independent component analysis, the local Moran’s I index and the Getis-Ord Gi index methods by using land surface temperatures.

ACS Style

Niyazi Arslan. Identification of hotspots using different statistical methods in a region of manufacturing plants. Environmental Monitoring and Assessment 2018, 190, 550 .

AMA Style

Niyazi Arslan. Identification of hotspots using different statistical methods in a region of manufacturing plants. Environmental Monitoring and Assessment. 2018; 190 (9):550.

Chicago/Turabian Style

Niyazi Arslan. 2018. "Identification of hotspots using different statistical methods in a region of manufacturing plants." Environmental Monitoring and Assessment 190, no. 9: 550.

Proceedings article
Published: 01 January 2018 in VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018
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ACS Style

Sevim Yasemin Çiçekli; Niyazi Arslan; Cenk Dönmez; AliIhsan Şekertekin. ADANA SEYHAN BARAJ GÖLÜ ALANININ MEVSİMSEL DEĞİŞİMİNİN YAPAY SİNİR AĞLARI İLE ANALİZİ. VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018 2018, 1 .

AMA Style

Sevim Yasemin Çiçekli, Niyazi Arslan, Cenk Dönmez, AliIhsan Şekertekin. ADANA SEYHAN BARAJ GÖLÜ ALANININ MEVSİMSEL DEĞİŞİMİNİN YAPAY SİNİR AĞLARI İLE ANALİZİ. VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018. 2018; ():1.

Chicago/Turabian Style

Sevim Yasemin Çiçekli; Niyazi Arslan; Cenk Dönmez; AliIhsan Şekertekin. 2018. "ADANA SEYHAN BARAJ GÖLÜ ALANININ MEVSİMSEL DEĞİŞİMİNİN YAPAY SİNİR AĞLARI İLE ANALİZİ." VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018 , no. : 1.

Conference paper
Published: 01 January 2018 in VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018
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ACS Style

AliIhsan Sekertekin; Sevim Yasemin Çiçekli; Niyazi Arslan. GECE VE GÜNDÜZ YER YÜZEY SICAKLIĞI GÖRÜNTÜLERİ İLE YÜZEY ISI ADASI ANALİZİ. VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018 2018, 1 .

AMA Style

AliIhsan Sekertekin, Sevim Yasemin Çiçekli, Niyazi Arslan. GECE VE GÜNDÜZ YER YÜZEY SICAKLIĞI GÖRÜNTÜLERİ İLE YÜZEY ISI ADASI ANALİZİ. VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018. 2018; ():1.

Chicago/Turabian Style

AliIhsan Sekertekin; Sevim Yasemin Çiçekli; Niyazi Arslan. 2018. "GECE VE GÜNDÜZ YER YÜZEY SICAKLIĞI GÖRÜNTÜLERİ İLE YÜZEY ISI ADASI ANALİZİ." VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018 , no. : 1.

Journal article
Published: 01 October 2013 in Measurement
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ACS Style

Mustafa Berber; Niyazi Arslan. Network RTK: A case study in Florida. Measurement 2013, 46, 2798 -2806.

AMA Style

Mustafa Berber, Niyazi Arslan. Network RTK: A case study in Florida. Measurement. 2013; 46 (8):2798-2806.

Chicago/Turabian Style

Mustafa Berber; Niyazi Arslan. 2013. "Network RTK: A case study in Florida." Measurement 46, no. 8: 2798-2806.

Journal article
Published: 01 December 2011 in Earth, Planets and Space
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ACS Style

U. Dogan; Semih Ergintav; S. Skone; Niyazi Arslan; D. Oz. Monitoring of the ionosphere TEC variations during the 17th August 1999 Izmit earthquake using GPS data. Earth, Planets and Space 2011, 63, 1183 -1192.

AMA Style

U. Dogan, Semih Ergintav, S. Skone, Niyazi Arslan, D. Oz. Monitoring of the ionosphere TEC variations during the 17th August 1999 Izmit earthquake using GPS data. Earth, Planets and Space. 2011; 63 (12):1183-1192.

Chicago/Turabian Style

U. Dogan; Semih Ergintav; S. Skone; Niyazi Arslan; D. Oz. 2011. "Monitoring of the ionosphere TEC variations during the 17th August 1999 Izmit earthquake using GPS data." Earth, Planets and Space 63, no. 12: 1183-1192.

Journal article
Published: 15 November 2010 in Acta Geophysica
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ACS Style

Niyazi Arslan. Correlation analysis of vertical total electron content. Acta Geophysica 2010, 59, 377 -397.

AMA Style

Niyazi Arslan. Correlation analysis of vertical total electron content. Acta Geophysica. 2010; 59 (2):377-397.

Chicago/Turabian Style

Niyazi Arslan. 2010. "Correlation analysis of vertical total electron content." Acta Geophysica 59, no. 2: 377-397.

Journal article
Published: 01 October 2009 in Survey Review
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ACS Style

Atınç PIRTI; Niyazi Arslan; B. Deveci; O. Aydin; H. Erkaya; Ramazan Gürsel Hoşbaş. Real-Time Kinematic GPS for Cadastral Surveying. Survey Review 2009, 41, 339 -351.

AMA Style

Atınç PIRTI, Niyazi Arslan, B. Deveci, O. Aydin, H. Erkaya, Ramazan Gürsel Hoşbaş. Real-Time Kinematic GPS for Cadastral Surveying. Survey Review. 2009; 41 (314):339-351.

Chicago/Turabian Style

Atınç PIRTI; Niyazi Arslan; B. Deveci; O. Aydin; H. Erkaya; Ramazan Gürsel Hoşbaş. 2009. "Real-Time Kinematic GPS for Cadastral Surveying." Survey Review 41, no. 314: 339-351.

Journal article
Published: 01 August 2009 in Journal of Surveying Engineering
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In the network-based real-time kinematic (RTK) global positioning system approach, the rover positioning accuracy and reliability depends on the quality of the atmospheric corrections, which is largely a function of spatial and temporal variability of ionospheric and tropospheric parameters. The location of the rover receiver with respect to the reference network receivers is also a very important factor, especially for applications such as off-shore navigation, where favorable geometry cannot always be assured. The primary goal of this paper is to describe tests of the speed and reliability of the ambiguity resolution and the ultimate accuracy of kinematic positioning for two representative reference receiver geometries: (1) pentagonal reference receiver geometry, with network-rover separation up to 131km , which represents a typical reference scenario where the rover is located inside the reference network; and (2) irregular geometry, simulating a shore-bound scenario where the reference network can support only extrapolation of the atmospheric corrections to an off-shore rover (outside the reference network), with network–rover separation up to 200km . The latter scenario is of special interest here, as the objective is to investigate the maximum acceptable separation of the rover receiver from the shore-bound reference stations. The Ohio Continuously Operating Reference Stations (CORS) network is used to simulate both scenarios, and the MPGPS software developed at The Ohio State University Satellite Positioning and Inertial Navigation Laboratory is used to carry out the analyses over a 24-h period of varying ionospheric activity. As a result of this study, the error budget associated with both network geometries is obtained, and the limitations of the network approach as a function of the network-rover geometry can be ascertained.

ACS Style

Dorota A. Grejner-Brzezinska; Niyazi Arslan; Pawel Wielgosz; Chang-Ki Hong. Network Calibration for Unfavorable Reference-Rover Geometry in Network-Based RTK: Ohio CORS Case Study. Journal of Surveying Engineering 2009, 135, 90 -100.

AMA Style

Dorota A. Grejner-Brzezinska, Niyazi Arslan, Pawel Wielgosz, Chang-Ki Hong. Network Calibration for Unfavorable Reference-Rover Geometry in Network-Based RTK: Ohio CORS Case Study. Journal of Surveying Engineering. 2009; 135 (3):90-100.

Chicago/Turabian Style

Dorota A. Grejner-Brzezinska; Niyazi Arslan; Pawel Wielgosz; Chang-Ki Hong. 2009. "Network Calibration for Unfavorable Reference-Rover Geometry in Network-Based RTK: Ohio CORS Case Study." Journal of Surveying Engineering 135, no. 3: 90-100.

Journal article
Published: 01 August 2009 in Earth, Planets and Space
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ACS Style

Chang-Ki Hong; Dorota A. Grejner-Brzezinska; Jay Hyoun Kwon; Niyazi Arslan. Effect of stochastic ionospheric delay modeling for GPS ambiguity resolution. Earth, Planets and Space 2009, 61, e41 -e44.

AMA Style

Chang-Ki Hong, Dorota A. Grejner-Brzezinska, Jay Hyoun Kwon, Niyazi Arslan. Effect of stochastic ionospheric delay modeling for GPS ambiguity resolution. Earth, Planets and Space. 2009; 61 (8):e41-e44.

Chicago/Turabian Style

Chang-Ki Hong; Dorota A. Grejner-Brzezinska; Jay Hyoun Kwon; Niyazi Arslan. 2009. "Effect of stochastic ionospheric delay modeling for GPS ambiguity resolution." Earth, Planets and Space 61, no. 8: e41-e44.

Journal article
Published: 31 July 2009 in Digital Signal Processing
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Time series analysis of the vertical total electron content (VTEC) is carried out in order to model variations in these observations dependent on time and frequency for various station–satellite pairs. The data of global positioning system (GPS) from four stations are processed in order to obtain the VTEC. The experiment was conducted on two successive days, the 12th and 13th April 2006 (days of year, DOY, 102–103). The mean of the squares of correlation coefficients (R2R2) between time and short-term VTEC is 0.81, which shows high linear correlation for the linear trend component analysis of the time series. For each VTEC observation arc, one significant frequency value is found using the peak-peaking (PP) method in the frequency domain for the periodical component analysis. The stochastic component is modeled with a second-order autoregressive [AR(2)] model. VTEC is recovered by 98% combining trend, periodical and stochastic components. In order to analyze the efficiency of these models for prediction, a 5 min ahead prediction is carried out resulting in a 0.19 mean root mean squared error (RMSE). Also, good results were obtained for 10, 15 and 20 min ahead predictions in some VTEC observation arcs.

ACS Style

Hediye Erdoğan; Niyazi Arslan. Identification of vertical total electron content by time series analysis. Digital Signal Processing 2009, 19, 740 -749.

AMA Style

Hediye Erdoğan, Niyazi Arslan. Identification of vertical total electron content by time series analysis. Digital Signal Processing. 2009; 19 (4):740-749.

Chicago/Turabian Style

Hediye Erdoğan; Niyazi Arslan. 2009. "Identification of vertical total electron content by time series analysis." Digital Signal Processing 19, no. 4: 740-749.

Journal article
Published: 01 September 2008 in Earth, Planets and Space
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ACS Style

O. Akyilmaz; N. Arslan. An experiment of predicting Total Electron Content (TEC) by fuzzy inference systems. Earth, Planets and Space 2008, 60, 967 -972.

AMA Style

O. Akyilmaz, N. Arslan. An experiment of predicting Total Electron Content (TEC) by fuzzy inference systems. Earth, Planets and Space. 2008; 60 (9):967-972.

Chicago/Turabian Style

O. Akyilmaz; N. Arslan. 2008. "An experiment of predicting Total Electron Content (TEC) by fuzzy inference systems." Earth, Planets and Space 60, no. 9: 967-972.

Journal article
Published: 01 August 2008 in Journal of Atmospheric and Solar-Terrestrial Physics
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ACS Style

N. Arslan; H. Demirel. The impact of temporal ionospheric gradients in Northern Europe on relative GPS positioning. Journal of Atmospheric and Solar-Terrestrial Physics 2008, 70, 1382 -1400.

AMA Style

N. Arslan, H. Demirel. The impact of temporal ionospheric gradients in Northern Europe on relative GPS positioning. Journal of Atmospheric and Solar-Terrestrial Physics. 2008; 70 (11):1382-1400.

Chicago/Turabian Style

N. Arslan; H. Demirel. 2008. "The impact of temporal ionospheric gradients in Northern Europe on relative GPS positioning." Journal of Atmospheric and Solar-Terrestrial Physics 70, no. 11: 1382-1400.