List of Articles سنجش‌ازدور

• Open Access Article
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  1 - Estimation of wheat area cultivation using Sentinel 2 satellite images (Case study: Sojasroud region, Khodabandeh city, Zanjan province)
  Seyed Ahmad  Seyed Ahmad Nadia Abbaszadeh Tehrani Milad Janalipour
  10.29252/.5.7.77
  20.1001.1.26763060.1399.5.7.7.5
  Wheat is one of the strategic agricultural products which provides one of the most basic nutritional needs of human societies for Iran and the whole world. Having the right statistics and information of the lands under wheat cultivation and estimating the amount of thei More

  Wheat is one of the strategic agricultural products which provides one of the most basic nutritional needs of human societies for Iran and the whole world. Having the right statistics and information of the lands under wheat cultivation and estimating the amount of their production in one crop year can help the planners of agriculture and industry to manage the production and consumption of the mentioned product as effectively as possible. One of the tools that can calculate the level of wheat cultivation in the shortest time and with low cost and appropriate accuracy is the science and technology of remote sensing. In the present study, using a supervised classification of images from several time of Sentinel 2, the area under wheat cultivation and its production rate for the 96-97 crop year has been estimated. Supervised classification with the overall accuracy of 80% and a kappa coefficient of 0.8 has acceptable and suitable results for the identification and separation of wheat from other agricultural crops. Manuscript profile
• Open Access Article
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  2 - Comparison of support vector machine and artificial neural network classification methods to produce landuse maps (Case study: Bojagh National Park)
  Mahsa Abdoli Laktasaraei Maryam  Haghighi khomami
  10.29252/.5.8.47
  20.1001.1.26763060.1399.5.8.7.7
  National parks and wildlife shelter are the most important natural heritages; therefore, knowing of quantitative and qualitative changes in their land use plays an essential role in the quality of these areas' management. various algorithms have been developed to classi More

  National parks and wildlife shelter are the most important natural heritages; therefore, knowing of quantitative and qualitative changes in their land use plays an essential role in the quality of these areas' management. various algorithms have been developed to classify satellite imagery in remote sensing, selecting an appropriate classification algorithm is very important in achieving the accurate results. In this research, a more accurate algorithm was determined by comparing the classification accuracy of two artificial neural network and support vector machine algorithms, and it was used to examine the process of the land use changes. The present study was performed in Boujagh National Park, in the Guilan Province, during the years 2000 to 2017, using satellite imagery ETM and OLI of Landsat 7 and 8. The results of the research revealed that the support vector machine algorithm with overall accuracy and Kappa coefficient of 86.42 and 0.83 respectively for the year 2000 and, 90.65 and 0.88 for the year 2017, classified the satellite images more precisely, in comparison with the artificial neural network algorithm with overall accuracy and Kappa coefficient of 83.71 and 0.80 respectively for the year 2000 and overall accuracy and Kappa coefficient of 89.25 and 0.87 for the year 2017. Therefore, the land use maps of the support vector machine algorithm were used to determine the land use changes. The study of land use change by this method concluded that the areas of the waterbody, sea, grassland and agriculture have decreased and marshland, woody and bare lands classes showed an increase during the study period. Manuscript profile