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Study of resources changes in previous years could be useful in the planning and optimal using of resources to control inappropriate changes. Because land use changes occur on large-scale, remote sensing technique is a useful and valuable tool for monitoring the changes. The aim of this research is land  cover changes detection in a period of 32 years in Pishva town with using remote sensing technique .First TM, ETM and OLI images for the years 1986, 2002 and 2018 were collected respectively and after geometric and radiometric corrections, images were classified by using maximum likelihood classification methods. Kappa and overall indexes were used to calculate classification accuracy. Results showed in past 32 years, bare land and irrigated land have decreased while residential and greenhouse areas have increased. Classification accuracy showed that OLI, ETM and TM sensors have high accuracy respectively with kappa 0.96, 0.80 and 0.76 and also overall indexes of 97.56, 86.54 and 86 percent. Based on results, in the first period (1986-2002) 27.6%, in the second period (2002-2018) 29.60% and in the third period (1986-2018) 31.8% of area land cover have been changed. Results showed land cover changes in the area is related to climate changes like low precipitation, drought and social condition like population and food need increasing and economic condition like high production and efficiency.
 

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The most important part to be considered is the determination of the carrying capacity of the protected areas, since these areas are able to accommodate a large number of tourists, so if these areas are not planned more accurately, the number of tourists will exceed the cc limit of the area. Resulting in instability and degradation of these areas, and therefore knowledge of the status of the area's cc will greatly help to control the damage. The aim of this study was determine potential, and social-cultural cc with the purpose of the establishment in ecotourism development. Therefore, in order to the determination of the potential of this area, calculation of the social-cultural cc after the identification of the social - cultural pressures using model PSR the social- cultural pressures regarding the calculation of the correction by applying the percentage corrections of the pressures and the relative importance using the techniques ANP and of each of them after the grading layer using the techniques WLC and builder model at Arc GIS_10.5 combined. Social - cultural cc in the direction of the development of ecotourism determined. The results 50% of the content that the level region has high cc, 33% of the surface area has an cc and 17 percent of the level region has low cc. Findings of the research show that there is a low range of cc in the central part of the region; finally, based on the findings, suggestions have been made to increase the regional distribution cc.

 

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In this Research, the maximum temperature of selected stations in Khuzestan province and the numerical values of 8 extreme climatic indicators belonging to the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) were used in the statistical period of 1987-2017. To analyze the trend of extreme climatic indices, the Man-Kendall test was used and to estimate the slope of the trend line, the Sen’s estimator was used. In this study, given the importance of global warming that severely affected all aspects of life, the authors explore the relationship between climatic factors and maximum temperature in Khuzestan province until to rely on it, and ones can predict and forecast air temperature at this region. For this purpose, the temperature of selected stations in Khuzestan province and numerical values of  8 climate indicators in the period 1987-2014 have been used. To understand the relationship between climate indicators and maximum temperature at 1 to 12 months of delays, Pearson’s correlation coefficient was used. The results showed that most of the extreme climatic indicators in the study period had a significant trend. The TX10 and TN10 indices have had negative trend in most stations and the TX90, TN90, TXx, TXn, TNx and TNn indices have had positive trend. According to the results of correlation coefficients can be concluded that all studied signals have a significant effect on the province's maximum temperature. The correlation between maximum temperature and indices PNA, TSA, WHWP, WP and NAO, was more than the other climate indicators. Results also showed that the entire indices except NAO have significant positive correlation with maximum temperature of the province. PNA index with a delay of 10 months has the highest positive correlation with maximum temperature of study area.

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Abstract
Although decades have passed since the introduction of a sustainable agricultural approach in the country, But the agricultural system is based on the use of non-native technologies, use of chemical inputs and Excessive exploitation of nature and Therefore, the formation and development of sustainable agriculture has faced major challenges. In this research, the researchers, considering the importance of agricultural sustainability especially in rural areas of the country and its role in maintaining the basic resources, considered the issue of agricultural sustainability In the villages of the central district of kuhdasht county and have studied and analyzed the agricultural sustainability gap in this region. For this purpose, 20 villages were selected by stratified random sampling method based on the location of the villages (plain, mountainous, and foothills), indicators of agricultural sustainability were developed and After completing the questionnaires by agricultural users, coding and data entry were performed in Excel and SPSS. Then, using the TOPSIS multivariate decision analysis, the studied villages were classified based on agricultural sustainability and They were classified into four clusters (Stable, semi-stable, unstable and very unstable) using cluster analysis. The results of the study showed that the agricultural sustainability level in the villages of this region is unbalanced in ecological, social and economic dimensions. This imbalance was seen both in the rural districts and at the level of studied villages.

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Today, urban livability is the key concept in urban planning. At present, the concept of sustainable development and livability is one of the new concepts in developed countries. The city of Bojnourd has witnessed unequal urban spaces due to the increasing population growth, especially in the last three decades, so the necessity and importance of the issue of livability is quite evident in the city today. This study was developed with the aim of evaluating and measuring urban viability and the factors affecting it. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and field methods and questionnaire tools were used. The statistical population of the study consists of citizens living in Bojnourd, the sample size was estimated 384 people using Cochranchr('39')s formula. In order to achieve the objectives of the study, one-sample t-test and linear regression were used in SPSS software. The results of this study showed that the situation of urban livability in Bojnourd, according to the general average obtained, which was equal to 2.75, is in a situation below the average. Also, in terms of the studied dimensions, the social dimension with an average of 2.84 has the highest average and the environmental dimension with an average of 2.67 has the lowest average. Also, the results of this study show that the situation in Region 2 is better than in Region 1 of Bojnourd. Other findings of this study include the positive effect of citizenschr('39') sense of security and health on urban livability.

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Drought is a complex phenomenon caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although the drought indices deriving from remote sensing data have been used to monitor meteorological or agricultural drought, there are no indices that can suitably reflect the comprehensive information of drought from meteorological to agricultural aspects. In this study, the synthesized drought index (SDI) as a synthesized index from the vegetation condition index (VCI), temperature condition index (TCI) and precipitation condition index (PCI) were used for comprehensive drought monitoring in the Urmia Lake Basin (ULB) based on the Principal Component Analysis (PCA). For this purpose, MOD13A3, MOD11A2 and TRMM 3B43 data series were downloaded y for the period of 2001–2012. After initial processing, drought indicators were calculated using LST NDVI and TRMM data, and monthly drought severity maps were prepared. In order to validate SDI index, the Correlation relationship between SDI and SPI indices was obtained in the 3 month period during the growing season. As well as, SDI correlation relationships were investigated with wheat and barley crop yields. The results indicate that drought occurred in 2008 and 2001 in the ULB. The results of validation show that there is a correlation of 80% between the two SDI and SPI indicators. Also, the results of this study showed that the SDI index, as a comprehensive index of drought monitoring, reflects the effects of drought on agriculture.
 

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Following developments in urban contexts of contemporary Iran, the creation of new urban contexts and cities has a direct impact on the ecosystem of its surrounding area. Urban neighborhoods on the path to achieving the goal of sustainable urban development require the integration of architecture and the principles of environmental sustainability. Using the Sustainable Architecture approach based on the principles of world standard is one of the most effective steps in this field. Progressive research, combined with the LEED World Standard Code of Conduct as a basis for evaluation, has revised the classification of the indicators of this Code based on biological and indigenous characteristics in the Qom city. To this end, urban texture and neighborhood assessment metrics are explained in the LEED and then with the aim of determining the importance category, baseline indices at the scale of the study area - renovated settlements (Pardisan City) - in a manner Qualitative analysis has been investigated. Finally, quantification in each section of context indices is done based on existing statistical documentary data for accreditation sub-indicators and, according to the final findings, a new classification of baseline assessment indexes for contemporary urban context designs. Based on the degree of effectiveness provided.

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Along with different states Economic policies in post-revolutionary Iran, have followed more or less the same path; in such a way that today, important parts of Iran's economy are trying to reproduce a non-competitive and non-preferential environment. Therefore, it is necessary to study the mechanisms governing the Iranian economy due to the decline in economic indicators. In this regard, the present study, using the method of discourse analysis and using semi-structured interviews, first explores and extracts the most important issues related to the current political economy of Iran and then, using the paradigm model has developed an appropriate strategy for the optimal management of the economy. The results show that the most important categories related to the current defective economy are the spatial distribution of power, the rentier state, and the underdevelopment of the social sector, the Dutch disease, sanctions, as well as epistemological ignorance and methods. Cognition of international political economy. Among these, the two factors of space nationality in Iran and the state's reliance on non-productive resources have caused states in Iran to become anti-geographic. In addition, the proposed strategy for the optimal management of Iran's political economy in the framework of the actor-network theory is to construct a central category of the social economy network, which by creating a balance and exchange between the concepts of society, economy and state, it leads Iran's political economy to spatial fluidity and a production-competitive economy.

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Climate and the required parameters for agricultural products are the important factors of production. We can determine potential facilities in different areas and consider the maximum tapping through agricultural meteorology. Due to drylands potentials in Hamedan province, we conducted a comprehensive survey based on 20 years (1995-1995) climatic elements of 9 main and supplementary synoptic stations. Thus, according to wheat phenological conditions and matching those with climatic conditions requirements in Hamedan province, we surveyed effective indices in grow crops. Finally, using geographic information systems (GIS) we implemented climatic elements zoning and weighting. Then the appropriate and inappropriate areas of the province for dryland wheat were determined. Results indicated among the climatic elements, annual rainfall and its distribution during the growing season, also the grow degree day (GDD) are important factors in process of dryland wheat. Based on maps extracted from the GIS, about 18 percent of the areas of province which are located in west, south west including Nahavand, Tuiserkan and Asadabad cities, enjoy very potentials and 46percent medium, 34percent good and 2 percent of Ghahavand city of Hamedan city functions lacks the necessary talent. with no potentials.
 

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Knowledge of rangeland vegetation characteristics as well as factors affecting it in environmental planning, land management and sustainable development is very important. However, regional and up-to-date maps of pasture vegetation cover are not always available. In this study, in order to plot the vegetation cover percentage of the rangelands and monitor its changes in drought and wet periods, NDVI products of MODIS sensor during the years from 2000 to 2017 with a spatial resolution of 250 m and a 16-day time resolution, and The SPI drought index were used. The study area is the part of the rangelands located in the Southern province of Yazd. In 2013, in order to provide ground truth data, a field work was done to take the sampling rate of vegetation from the rangeland level in the study area. According to the results, the NDVI index has a good ability to map vegetation cover, so the coefficient of determination (R²) between this index and the sample points was 0.71. Based on the results, the average vegetation cover of the studied area was 11.3% during the years 2000 to 2017. The highest and lowest amount of vegetation cover in the study area was in 2000 and 2002, with moderate mild conditions and very severe drought, respectively (14.6% and 9.2% respectively). The most important factors influencing the vegetation cover in the study area are rainfall and drought periods, so that the coefficient of determination (R²) between the SPI drought index and the average vegetation percentage was 0.85. In general, based on the results there is a high potential for assessing and monitoring rangeland vegetation changes using satellite data and remote sensing technique.
 

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There are several limiting factors to the development of cities. These factors lead cities to develop in certain directions. Air pollution as a major problem of metropolises can itself be considered as a limiting factor of urban development by urban decision makers. 4 relatively large power plants are operating in Mashhad. There are currently two power plants in the east of the city and two in the west of Mashhad. Most of the fuel in these power plants is gasoline and natural gas. Modeling the air pollutant emissions of these power plants and identifying the pattern of pollutant emissions across the city can play a key role in the quality of life and health of approximately 3.5 million Mashhad residents. The outputs of this model can also be used as an effective parameter in estimating the urban development model. In this study, the emission of NOX, CO and 10PM pollutants was modeled and evaluated using AERMOD software in Mashhad. Using Arc GIS software, the population affected by these air pollutants was determined by one year solar time, the concentration of pollutants in different areas of the city and the area affected by the pollution concentration range was determined.

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Many efforts have been made to address the negative effects of sprawling urban expansion, which can be referred to as "smart growth" as a strategy for urban sustainability. The purpose of this study was to evaluate the impact of smart city growth on economic and social parameters in Isfahan. The present study is descriptive-analytical in terms of the type of research and is applied-developmental in terms of purpose. The statistical population of the study consisted of the population of Isfahan city in the Census of 2016 (5120850). The research tool was a researcher-made questionnaire (Smart City Questionnaire, Economic Questionnaire and Social Questionnaire) with 32 questions. The validity of the questionnaire was formal, which was confirmed by experts and professors, and its reliability by Cronbach's alpha was 0.84. Data analysis, based on structural equation analysis, was performed in AMOS software. The results indicate that urban smart growth in Isfahan is influenced by social and economic variables, among which the role of economic variables in urban smart growth have more influence than social variables, which impact factor of economic variable role. It was 0.71, while the social variable had an impact factor of 0.38.

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Increasing urbanization today and the lack of integrated urban management have led to inadequate planning in cities. In this regard, the local councils, as the most prominent local institutions and the most important decentralization manifestations, symbolize the serious presence of the people to determine their own fate, if they are institutionalized in the governance structure as coordinators of the executive agencies. In these cities, they can play a valuable role in the social security of cities. The present study was conducted using descriptive-analytical approach and field method. In this study 354 people were selected using Cochran model. Next, based on the results of the questionnaire, the results were analyzed using SPSS software. Conclusions: Based on the Friedman test, among the research items, the second item is "Social Security Development", and the first item is "Economic Security Development". Among the items, the second item (Social Security) with 2.90 points out that the role of local councils in social security development is higher than other dimensions and the first item with 1.98 points of economic security development comes in last. has taken. Also, the one-sample t-test showed that the significance level of the test is less than (0.05) and at 95% confidence level there is a positive significant difference between the dimensions of council functions and the dimensions of sustainable urban security development.