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Showing 4 results for Momeni

Ali Hashemi, Hojjatollah Yazdanpanah, Mehdi Momeni,
Volume 0, Issue 0 (3-1921)
Abstract

Studying the effect of climatic variables on vegetation indices (Case study: Orange orchards in Hassan Abad, Darab County)
 
Abstract
Climatic variables are the most significant factors affecting vegetation changes. Nowadays, the satellite imagery is widely used to investigate the effect of fluctuations in climatic variables on vegetation changes. This research aims to investigate the effect of climatic variables of precipitation, temperature, and humidity on changes in vegetation indices of orange orchards in Hassan Abad, Darab County using satellite data. Hence, observational data, including orange tree phenology data and meteorological data on the agricultural weather station have been collected for over 10 years (2006 to 2016). MODIS images from 2006 to 2016 were referenced based on the territorial data and 1:25000 maps of the Iran National Cartographic Center. These images were used to calculate the remote sensing vegetation indices including normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). Results demonstrated that the variables of maximum humidity, minimum temperature, and precipitation have a significant positive effect on the NDVI variable. Additionally, the variables of maximum temperature and minimum humidity have a significant negative effect on the NDVI and EVI dependent variables. To determine the significance of each of the independent variables in predicting the dependent variables, the artificial neural network method was used. Findings showed that the climatic elements of precipitation, minimum temperature, maximum temperature, minimum humidity and maximum humidity with values (0.39, 0.3, 0.13, 0.1 and 0.06) had the greatest effect on EVI, respectively. Moreover, the effect of these variables on the NDVI index is equal to their coefficients (0.2, 0.28, 0.22, 0.11 and 0.17), respectively. Finally, ARMAX regression method was used to increase the explanatory power of the model. Results showed that this method could increase the explanatory power of the model and reduce the forecasting error.
Mrs Arezoo Momenian, Dr Morteza Mirgholami, Dr Azita Balali Oskoyi, Dr Aida Maleki,
Volume 0, Issue 0 (3-1921)
Abstract

Considering that more than one third of energy consumption is related to residential areas, proper planning and design of neighborhoods according to the climatic conditions of each region can be an effective step towards reducing energy consumption. It aims to optimize energy consumption in the residential blocks of Rushdieh neighborhood in Tabriz. Investigating and understanding the energy consumption situation in Rushdieh neighborhood of Tabriz, its capabilities and bottlenecks in planning is very important, if they are not paid attention to and there are no efficient strategic plans, it will lead to an increase in social, economic and environmental instability. According to its nature, the research method is descriptive-analytical and practical in terms of purpose. It is related to the intended goals of the research, the statistical population of the research is the professors, experts and elites of urban planning, which has been used to examine the indicators and strategies. The method of selecting people was targeted and snowball. Finally, the results showed that the formulation of policies, practical measures to improve the design of main roads and local accesses in the direction of neighborhood air conditioning should be emphasized as the most important strategy. In order to reduce energy consumption, the development of neighborhood design policies and residential blocks with the goals of using wind energy to reduce energy consumption have been placed in the second and third ranks of this prioritization, respectively.

 
Mrs Arezoo Momenian Najjar, Dr Morteza Mirgholami, Dr Azita Oskoyi,
Volume 23, Issue 70 (10-2023)
Abstract

One of the new theories in the field of urban development planning is the creative city theory, which can be useful due to the intense competition between cities in the age of globalization. Based on this, various researches have been done about the metropolis of Tehran, which have looked at the city of Tehran and creativity from different angles. Therefore, analysis and evaluation of these researches from different aspects such as study scale, research method and results are necessary. The purpose of this study is to systematically review the articles on the subject of creative city in Tehran in order to identify research shortcomings and also the systematic combination of their valuable results. This research uses both quantitative and qualitative methods in the form of systematic review. For this purpose, it uses quantitative and qualitative meta-analysis. Preliminary research data consists of thirteen Scientific Research Papers that have been selected using purposive sampling. Findings from a quantitative review of articles show that most of the research conducted in the field of creative cities is quantitative, positivist, non-exploratory, large-scale and pays little attention to indigenous indicators. Also, the qualitative results of the research indicate that the city of Tehran, despite its relative position in terms of creative city indicators in the country, is far from international standards and existing trends do not show the move to a creative city. In order to achieve the creative city of Tehran, it is necessary to consider following points; at the international level the principles of competition and interaction, at the national level the principle of balance, at the level of Tehran metropolis the principle of development, at the city zones the principle of spatial justice and at the level of neighborhoods and urban spaces the principles of the quality of space and vitality.
 
Akbar Mirahmadi, Hojjatollah Yazdan Panah, Mehdi Momeni,
Volume 24, Issue 72 (6-2024)
Abstract

In recent years, the technology of crop production has been greatly expanded using satellite data. Today, Landsat 8 and OLI sensor data, with a spatial resolution of 30 meters, allow the discovery of factors that control phenology on a local scale. In this study, the remote sensing indices - NDVI, EVI, Greenness, and Brightness - obtained from the OLI sensor and the GCC index obtained from digital camera images were used to estimate the phenological stages of the rapeseed plant. The Savitzky-Goli filter was used to remove outlier data and to produce smooth curves of time series of plant indices. The results showed that the curves obtained from the indices of NDVI, EVI, GCC show all four stages of remote sensing phenology – green-up, dormancy, maturity, and senescence - well, but the Greenness index did not show the dormancy stage well. The Brightness index curve shows the inverse behavior to other curves. According to Pearsonchr('39')s correlation test, GCC index data are correlated with NDVI and Brightness index data .we used the ratio threshold, rate of change and first derivative methods, to estimate "start of season" and "end of season" and the results showed that the first derivative and ratio threshold methods with an average difference of 18 and 19 days in the "start of the season"  and the rate of change method, with an average difference of 8 days, has the best performance in estimating the “end of the season”. Also, the Brightness index with an average difference of 16 days and the EVI index with an average difference of 7 days have the best performance in estimating "start of season" and "end of season", respectively.


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