List of Articles Land Use

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  1 - Study of Land Use Change Using Geographic Information Systems and Remote Sensing Techniques
  Mehrdad  Khanmohammadi Maryam  Haghighi khomami Mohammad panahandeh Mahsa Abdoli Laktasaraei
  10.29252/.3.5.3
  20.1001.1.26763060.1397.3.5.1.1
  Indeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective tech More

  Indeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective technology for monitoring environmental changes and resource management. The purpose of this research is to detect the land use /cover changes in Bojagh National Park in Guilan province during 2000-2017. For this purpose, the images of ETM+ sensor from the landsat 7 were taken in the year 2000 and the images of OLI sensor from the landsat 8 were taken in the year 2017. After applying the necessary preprocessing on the images, the training points were selected for each user class in sufficient number and with appropriate processing then, the land use / cover map was produced using the supervised classification method with maximum likelihood algorithm. Using the Overall accuracy test and Kappa coefficients, accuracy of the produced maps was determined. The results of the study indicated that the areas of the sea, grassland and the areas of the waterbody parts has decreased and the areas of the agricultural, marshland, man-made, woody and bare lands users show an increase during the study period. 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
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  3 - Comparative Analysis of laws related to land Use in the Framework of Multilevel Climatic Governance (Case Study: Qazvin Urban Region)
  mostafa momeni naser barakpour
  Urbanization and climate change are two global phenomena and are inherently correlated. Land use, as one of the most important factors in this field, affects climate change in various ways. One way to manage this issue is to use multilevel climate governance, which prov More

  Urbanization and climate change are two global phenomena and are inherently correlated. Land use, as one of the most important factors in this field, affects climate change in various ways. One way to manage this issue is to use multilevel climate governance, which provides a flexible conceptual framework for understanding the relationship between cities, regions, and national governments related to mitigation and adaptation strategies. The purpose of this study was to evaluate the laws related to land use according to the criteria of the governing by authority in the framework of multilevel climate governance in Qazvin urban region. In this study, the method of documentary research and the technique of systematic review of texts and in order to comply with the criteria of the governing by authority and legal materials in the laws and regulations, the comparative-analytical method has been used. In this way, 10 laws regarding the existence of legal articles were evaluated, in which local government officials have been given authority in the field of land use planning. The results of the study indicate that ther are different challenges such as the impact of policies and strategies of development documents on decisions, differences between decisions and upstream documents, differences in the type of reference review and licensing, legal gaps in related laws and inconsistencies in implementation in the field of land use planning in Qazvin urban region, and some decisions are based on less delegated authority at the local level, and the resulting actions are more vulnerable. Manuscript profile