From the time of human life until now, disasters have had a negative impact on human life; In response, individuals and communities are trying to mitigate the consequences of these disasters and establish scales to assess the initial effects; Also respond to the post-disaster needs and return to baseline. To address these challenges and, as a result, improve the quality of life in cities and metropolises, the need for long-term planning and decision-making in solving these problems is more necessary than ever. Therefore, dealing with new urban theories, each with the aim of solving urban problems, improving the quality and quantity of life of citizens in cities, improving the quality of the city environment, city management, advancing the city to become more desirable, and so on. , Is more important than ever. In recent decades, to solve these challenges and reduce its effects on metropolises and large cities, various solutions and perspectives have been proposed, one of which is to pay attention to the concept of resilient city. The present study is descriptive. - It is analytical and practical in terms of purpose. The statistical population of this study consisted of experts and professors familiar with the topics of the city. 35 university professors and experts in the field of research determined the sample size intended to complete the questionnaire. The results of this study showed that the criterion of physical characteristics of tissue with the highest D-R value (0.672) is at the top of the chart and shows that this criterion is the most effective criterion. Also, based on the calculated D + R value, the building quality criterion is the most important criterion. Also, the urban infrastructure criterion was considered as the most influential criterion due to the fact that it has the lowest D-R value.

Every city, according to its assets, seeks to develop and consolidate its position at national, regional and international levels, since city branding is one of the most dynamic activities in the field of policy making in the present era, which plays an important role in sustainable development of the region and due to the increasing growth of city development in cultural, economic, environmental and etc. There is a need for a targeted and comprehensive planning to keep pace with sustainable development. Considering the development components and its impact on city branding indicators, this research deals to improve the development and city branding status in the province by examining their situation. The statistical population of this study consisted of two groups: the first group was experts with knowledge that the number of people in this population is uncertain and the sample size is 60 people. The second group consists of policy-making and senior managers, employees with higher education in Bushehr province with 37,751 people and the sample size has been determined by using The Cochran formula of 382 people. Data were collected through 4 questionnaires confirming their validity and reliability. To measure structures and relationships between them, structural equations with partial least squares approach and SMART PLS software have been used. The results indicate that at 95% confidence level, the city branding policy variable has a positive and significant relationship with the development model. Therefore, it is suggested that the policy makers and urban management should plan for the urban branding of the province and improve the development dimensions according to the relationship of the urban branding policy with the dimensions of development.


Key words: Model, Development, Policy, city Branding.

Wetland cover classification is of special importance in order to identify the type of plant species inside the wetland and also to distinguish it from the wetland margin vegetation and to study their ecosystem changes.  Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. The results showed that the support vector machine and neural network methods with closer classification accuracy of 85% in all three images show closer results to reality. The classification accuracy for all three images was at its highest for the backup vector machine method, with a total accuracy of 95.73 for the Hyperion image, 88.03 for the ALI and 89.34 for the ETM +. Therefore, the characteristics considered for the wetland, in the three images obtained from the SVM algorithm showed that showing the differentiation of wetland vegetation use from irrigated agricultural land use is more ambiguous than other wetland features. Studies have shown that this part is less recognizable in ALI and ETM + images than Hyperion images, or in some areas these parts are not separable from aquaculture land at all, while Hyperion due to having 220 bands and having a higher level of Spectral details have the ability to distinguish between the two classes.