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Open Access Article
1 - Investigating the surface changes of Urmia Lake using the integration of Landsat-8 and Sentinel-2 satellite data
Amir Ghayebi Ahmad Ahmadi Behnaz BigdeliAmong environmental changes, water plays a very vital role in the political, social and economic issues of countries, which can be used as one of the most practical sources of water supply available to humans and animals. Investigating the fluctuations of the water leve MoreAmong environmental changes, water plays a very vital role in the political, social and economic issues of countries, which can be used as one of the most practical sources of water supply available to humans and animals. Investigating the fluctuations of the water level of the lakes in terms of the importance, location and nature of these water bodies has become especially important in recent years. Lake Urmia with an area of 51200 square kilometers is of special importance as the largest internal lake of Iran and the 20th lake in the world. Landsat-8 and Sentinel-2 satellite data for the years 2013 to 2021 were used to investigate and evaluate changes in the water level of Lake Urmia, vegetation and soil around it. First, radiometric and atmospheric corrections were made on the images, and then, while using Gram Schmidt and LMVM integrators to increase spatial resolution, NDWI, AWEI, WI2015 and NDVI indices were extracted in order to differentiate the lake water level from non-water. paid. Finally, by combining the indicators with each other and by sampling the training and test samples, in order to classify the images, supervised classifiers such as Maximum Likelihood, Support Vector Machine, Neural Network and Minimum Distance to Mean were used. Also, in order to improve the results, the output of the classifiers was merged using the majority voting method. The results of the research showed that the majority voting method was chosen as the most suitable classification method with the highest level of accuracy. The water level of Lake Urmia, the vegetation and soil around it have also undergone significant changes during the years 2013 to 2021, so that in 2021, compared to 2020, the water level decreased by 29.89%, and the vegetation increased by 16.08%. And the soil has increased by 17.50%. Manuscript profile -
Open Access Article
2 - Spectral distortion-based flood detection in multi-temporal images fusion techniques
حسن حسنی مقدم Mohammad Javad NateghiIn changes detection process, the choice of information extraction method plays an important role in the quality of final changes detecting. In this study, Landsat 8 multi-temporal data fusion method based on spectral distortion was used to detect changes and to determi MoreIn changes detection process, the choice of information extraction method plays an important role in the quality of final changes detecting. In this study, Landsat 8 multi-temporal data fusion method based on spectral distortion was used to detect changes and to determine the range of floods. For this reason, both pre and post flood images were fused using the Gram Schmitt algorithm to increase spatial resolution of images. In the following, three algorithms, Gram Schmitt, IHS, PCA, were used to detect changes and determine the extent of flood. In this study, input of each algorithm was pre-flooded as a multicolor image and post-flood infrared image as a panchromatic image selected to determine the extent of flood using the spectral distortion generated in each algorithm. The results showed that the capability of data fusion method based on spectral distortion is very high in detecting of changes. The spectral distortion generated in IHS is the most accurate distortion and the output of this algorithm is highly consistent with the reference data. Also, the output of the Gram Schmitt algorithm has spectral distortions in the unchanged regions. The PCA algorithm, which is highly sensitive to inputs, distorts most image regions, which is not recommended for detecting changes based on spectral distortion. Manuscript profile -
Open Access Article
3 - Abnormality Detection in a Landing Operation Using Hidden Markov Model
Hasan Keyghobadi Alireza Seyedin -
Open Access Article
4 - Distributed Agreement Based Ml Approximation
Mohamad Mohamadi Hamid Parvin Eshagh Faraji Sajad Parvin -
Open Access Article
5 - Network Situational Awareness and Quantitative Threat Assessment Based on Multi Sensor Information Fusion
Amin Sardeh Moghadam Behzad Moshiri Ali Payandeh -
Open Access Article
6 - تحلیل عوامل مؤثر بر بهره وری کل عوامل تولید : (مطالعه موردی صنایع تولید مواد شیمیایی اساسی ایران)
هوشنگ شجری حسین استادی ثریا شیخی