Search Results - "SEKERTEKIN, Aliihsan"
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Validation of Physical Radiative Transfer Equation-Based Land Surface Temperature Using Landsat 8 Satellite Imagery and SURFRAD in-situ Measurements
Published in Journal of atmospheric and solar-terrestrial physics (01-12-2019)“…Land Surface Temperature (LST) is a key criterion in the physics of the Earth surface that controls the interactions between the land and atmosphere. The…”
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A Survey on Global Thresholding Methods for Mapping Open Water Body Using Sentinel-2 Satellite Imagery and Normalized Difference Water Index
Published in Archives of computational methods in engineering (01-05-2021)“…The aim of this study is to investigate the performance of fifteen automatic thresholding methods, namely Huang and Wang’s fuzzy thresholding method,…”
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Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation
Published in Remote sensing (Basel, Switzerland) (01-01-2020)“…Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere…”
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Simulation of future land surface temperature distribution and evaluating surface urban heat island based on impervious surface area
Published in Ecological indicators (01-03-2021)“…•LST image for 2021 was projected using NDBI and NDVI.•Indices were simulated for 2021 using Markov Chain method.•Regression model was applied to obtain LST…”
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Sensitivity Analysis and Validation of Daytime and Nighttime Land Surface Temperature Retrievals from Landsat 8 Using Different Algorithms and Emissivity Models
Published in Remote sensing (Basel, Switzerland) (01-09-2020)“…Land Surface Temperature (LST) is a substantial element indicating the relationship between the atmosphere and the land. This study aims to examine the…”
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Ionospheric TEC forecasting using Gaussian Process Regression (GPR) and Multiple Linear Regression (MLR) in Turkey
Published in Astrophysics and space science (01-06-2020)“…This study aims to predict daily ionospheric Total Electron Content (TEC) using Gaussian Process Regression (GPR) model and Multiple Linear Regression (MLR)…”
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Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage
Published in Applied sciences (15-02-2019)“…The Polarimetric Synthetic Aperture Radar technique has provided various opportunities and challenges in agricultural activities mainly on crop management. The…”
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Identifying and Monitoring Gardens in Urban Areas Using Aerial and Satellite Imagery
Published in Remote sensing (Basel, Switzerland) (01-08-2023)“…In dry regions, gardens and trees within the urban space are of considerable significance. These gardens are facing harsh weather conditions and environmental…”
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Short-term air temperature prediction by adaptive neuro-fuzzy inference system (ANFIS) and long short-term memory (LSTM) network
Published in Meteorology and atmospheric physics (01-06-2021)“…Air Temperature (AT) is a crucial parameter for many disciplines such as hydrology, irrigation, ecology and agriculture. In this respect, accurate AT…”
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Prediction of 10-min, hourly, and daily atmospheric air temperature: comparison of LSTM, ANFIS-FCM, and ARMA
Published in Arabian journal of geosciences (01-04-2021)“…Prediction of atmospheric air temperature (AAT) time series is an important issue as it gives information to society and sustainability for future planning. In…”
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Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest
Published in Forests (01-02-2022)“…Burned area (BA) mapping of a forest after a fire is required for its management and the determination of the impacts on ecosystems. Different remote sensing…”
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Assessment of Spatio-Temporal Changes in Water Surface Extents and Lake Surface Temperatures Using Google Earth Engine for Lakes Region, Türkiye
Published in ISPRS international journal of geo-information (01-07-2022)“…This study aims to extract water surface area and lake surface water temperature (LSWT), and to present long-term spatio-temporal analysis of these variables…”
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Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
Published in Ecological informatics (01-07-2022)“…In recent years, the number of wildfires has increased all over the world. Therefore, mapping wildfire susceptibility is crucial for prevention, early…”
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Albedo Retrieval From Sentinel-2 by New Narrow-to-Broadband Conversion Coefficients
Published in IEEE geoscience and remote sensing letters (01-09-2020)“…Surface albedo in the rural and urban environment is one of the most influencing parameters in the evaluation of the radiative forcing of the land surface…”
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Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models
Published in Environmental science and pollution research international (01-09-2022)“…Land surface temperature (LST) prediction is of great importance for climate change, ecology, environmental and industrial studies. These studies require…”
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Application of Long Short-Term Memory neural network model for the reconstruction of MODIS Land Surface Temperature images
Published in Journal of atmospheric and solar-terrestrial physics (01-11-2019)“…Land surface temperature (LST) is an important parameter that supplies information about the skin temperature of the Earth surface. Remote sensing satellite…”
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Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing
Published in Journal of cleaner production (15-10-2021)“…Air pollution is one of the vital problems for the sustainability of cities and public health. The lockdown caused by the COVID-19 outbreak has become a…”
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Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery – A case study at Tuzla geothermal region
Published in Geothermics (01-03-2019)“…•Daytime and Nighttime LST obtained from ASTER data were utilized for thermal anomaly analyses in Tuzla geothermal region.•Nighttime Radiative Heat Flux (RHF)…”
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Modeling and predicting seasonal ionospheric variations in Turkey using artificial neural network (ANN)
Published in Astrophysics and space science (01-04-2019)“…The aim of this study was to model and predict seasonal ionospheric total electron content (TEC) using artificial neural network (ANN). Within this scope, GPS…”
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ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields
Published in Computers and electronics in agriculture (01-04-2020)“…•Sensitivity of ALOS-2 and Sentinel-1 was investigated for bare and vegetated surfaces.•HH polarization of ALOS-2 had the highest sensitivity (R2 = 0.364) for…”
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