Showing 74 results for Land
Mrs Sahar Mehrran, Mr Ali Akbar Taghilou, Mrs Khadijeh Javan,
Volume 23, Issue 70 (9-2023)
Abstract
Analysis of land use change in Nazlou district of Urmia in the 2005-2018 time series
Abstract Population growth, increased prosperity, the spread of technology, and the improper use of land have in recent decades imposed many changes on land. Nazlou district in Urmia city has been exposed to many changes due to its favorable natural conditions, location in the development paths of Urmia-Cir and Urmia-Bazargan, establishment of numerous industrial estates and so on. So planning to manage these changes requires studying land use changes. The purpose of this study was to detect land use changes in Nazlou district in Urmia city using Landsat TM and OLI satellite images by Object Oriented Classification. Also, two methods of change detection and change intensity index in land use change monitoring were used to investigate the severity and trend of land use changes. This study was descriptive and analytical and data collection was done by documentary method. The survey showed that during the study period (2005-2018) of the total area of 77498.37 hectares, the total area under study was approximately 25981.56 ha (33.52%). The highest level of change in 2005 relates to the level of the horticulture, with its downward trend in 2018. In contrast, changes in rangeland and dryland land use have an increasing trend, respectively.
Nasrinalsadat Bazmi, Zahra Hejazizadeh, Parviz Zeaiea Firoabadi, Qholamreza Janbazghobadi,
Volume 23, Issue 70 (9-2023)
Abstract
This article was written with the aim of revealing land use changes in Urmia city using remote sensing of Landsat satellite images for 4 periods of 8 years between 1990 and 2019. For this purpose, two categories of data will be used in this research. The first category includes data obtained from satellite images and the second category includes ground data taken from Urmia ground station, which includes temperature and other parameters used in this research. The results showed that urban land use in Urmia city has faced significant changes during the statistical period of 30 years. This user has had an increasing trend during all the studied periods, so that during the study period, it has faced a 5-fold increase. Swampy areas and sludge fields east of Lake Urmia have undergone a significant decline during 1990-2019 and has reached less than 6,000 hectares. The citychr('39')s barren lands, which cover a small percentage of the citychr('39')s area, have been declining over the 30-year period under review. The use of gardens has increased during all periods, so that in 2019, its area has reached more than 20,000 hectares. The use of irrigated agriculture has increased during all the studied periods and its area has reached more than 80,000 hectares by 2019. The area of rainfed agricultural lands, after the rangelands, is the widest land use in Urmia, but with a relatively gentle slope has a decreasing trend. Water areas have also been declining, so that in 2019, it has decreased by about 26% compared to 2012. Rangelands, which is the largest land cover in Urmia city, has gone through three different processes during the study period. From 1990 to 1998, these lands did not change significantly, but from 1998 to 2005, the increasing trend and in 2019, with a 10% decrease compared to 2012, reached its lowest area during the statistical period under study, ie less than 20,000 hectares.
Mr Alireza Thernasab, Dr Leila Ebrahimi, Dr Ameneh Haghzad, Dr Mehrdad Ramezan Por,
Volume 23, Issue 71 (12-2023)
Abstract
Today, urban and rural planning and management programs need to obtain accurate spatial information at successive times about land use changes. The main purpose of this study is to study and evaluate land use changes due to physical development with respect to 4 land uses in Bayer, agricultural lands, water zones and man-made lands in Pakdasht. Data were collected through Landsat satellite images from 2019 and 1989 captured by OLI and MSS5 sensors with a resolution of 30 m, which transformed Landsat 8 and 7 satellite images to 15 m in ENVI 5.3 software. These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. Fragstats software was then used to extract land cover metrics at two levels of the classroom and the simulator. A total of 15 landslides were quantified in the years 1989 to 2019 (1368-1688). According to the results, the area of residential land has increased during the years under study so that its share has increased from %7.1 in the region to %19.5.
Reyhane Salehabadi, Syrus Ahmadi, Afshin Motaghi,
Volume 23, Issue 71 (12-2023)
Abstract
Borders are known as places where government institutions implement their own law in a variety of ways and forms. Given the different approaches to border control and management, it can be seen that this issue is still viewed as a security issue in developing countries, including Iran, and most of the approaches related to this are from a purely security perspective. The boundary view must be multidimensional and comprehensive. In this study, we seek to answer the questions of how land border management can be done. And which of the indicators of border management is more weighty and important? Therefore, the research method is a combination of Kendall, Demetel and AHP methods. The findings of the study show that we have five main components of border management in economic, cultural-social, civil, security-military and integrated management, and each of the seven components. Using these techniques, it can be stated that indicators such as identifying and identifying opportunities and identifying their fertility factors (0.1), studying and understanding the geographical location and spatial conditions of border regions (0.099), can be determined and determined. Identifying threats and identifying their roots and factors (0.098) and excluding border areas of isolation (0.096) are the most important. Therefore, it can be concluded that border management should be considered in combination with other factors, ie the application of only one approach, such as economic or security, cannot solve the problems of the country's border regions.
Zeynab Khaleghi, Farah Habib, Hossein Zabihi,
Volume 23, Issue 71 (12-2023)
Abstract
Water as one of the most essential natural elements of landscape and consequently urban landscape from yesterday till today has had a great impact on the formation and effectiveness of urban spaces and its various effects have always stimulated human tendency towards beauty. It should be noted that the existential values of water are not merely aesthetic, rather it goes back to the deepest and innermost part of nature. Such a stimulus has led human beings to recognize different aspects of water, including sensory and perceptual, visual, semantic, functional, physical-aesthetic, environmental, psychological, social, and temporal and this knowledge has provided the backdrop for a variety of water-based designs in the urban landscape. The main purpose of the present study is to identify all the features and existential values of water and their proper application in the urban landscape. In other words, the explanation of a specific pattern including major water criteria and indicators in the urban landscape has been considered to improve the quality of the landscape in urban environments. The research method is applied and the type of study is descriptive-analytical and data collection is based on the study of library resources and content analysis of text. The results of the research indicate that by applying all the existing dimensions and values of water element in the urban landscape, the quality of urban spaces can be improved. The use of water criteria and indicators in the urban landscape in a coherent and integrated manner requires a compiled pattern that is presented in the end in a tabular form.
Akbar Mirahmadi, Hojjatollah Yazdan Panah, Mehdi Momeni,
Volume 24, Issue 72 (3-2024)
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.
Dr Raoof Mostafazadeh, Dr Fariba Esfandiary, Miss Mahnaz Hamzeei, Miss Nazila Alaei,
Volume 24, Issue 72 (3-2024)
Abstract
The purpose of this study was to evaluate the temporal variations of vegetation cover of Gharesou River riparian area in Ardabil province using landscape metrics over a period of 8 years which is important for morphology assessment and river ecosystem protection planning and management. The Google Earth imagery for the years 2011, 2016, 2019 due to their live view and high resolution were used to map the Gharesou River riparian area vegetation. Correlation analysis in R environment was used to evaluate the relationship between landscape metrics in the study time period. The results showed that there is an increase in the number of patches, which showed an increase in landscape fragmentation of the riparian area vegetation. Landscape connectivity index was 91.52% to 95.49% in this region during the study period, indicating the removing small patches of vegetation communities around the river. The number of patches in the present study showed an increasing trend, which was the highest amount at 2019 year. The results of changes in the width of the Gharesou River showed that the river width in 2019 was 27.43m and 3.97 m, respectively. Comparison of river width values over the three study periods indicates an increasing trend in river widths, which may be due to the limitation of river width by human activities or the protection of river banks to protect agricultural lands against flooding effect. Also, the correlation of river width showed that the correlation between time period 2019 and 2016 was 0.63 and significant at 0.001 levels. The lowest correlation between the period 2019 and 2011 was 0.30 at 5% significant level. In conclusion, the results of changes in riparian area communities can be linked to the extension of agricultural land adjacent to the main river course.
Sara Sadeghizadeh Ghavi Fekr, Dr Asghar Tahmasebi, Dr Farhad Azizpour,
Volume 24, Issue 73 (6-2024)
Abstract
Population growth and the need for economic and social services have accelerated the demands for land and its manipulations over the recent decades. The contribution of policies and interventions of different stakeholders in land change is not adequately addressed in previous studies. This research, therefore, aims to examine the role of key stakeholders, and their policies in land-use change in the study area. In doing so a total number of 20 interviews with senior experts and informants from 13 local organizations were conducted to collect qualitative data on the form, process and cause of land-use change in the area. Atlasti software was used to analysis the interviews' data. Furthermore, Social Networks Analysis (SNA) and questionnaires were used to map the trust among the stakeholders and also the role of their policies and program on land-use changes from the perspective of other stakeholders. The results show that the policies and interventions of the municipality are playing the most significant role in land-use change via disregarding and violations of roles and related for individual illegal benefits. Additionally, departments of agriculture, rural councils are among the most trusted agents in land use governance and management. Furthermore, water shortage was the most important reason pointed out by the many interviewees for conversion of farmlands to other uses. A part from water shortage, some other reasons such as: lack of governmental support for farming, strict official constraints and difficulties in providing amenities for gardens, expensive agricultural inputs, land price increase, immigration, corruptions in local organization are identified as drivers of rural land-use change.
Keywords: Key words: Land use change, stakeholders, governance, Social Networks Analysis, Shariyar County.
Mohammad Kazemi Garajeh, Behnam Salmani, Mohammad Hossein Rezaei Moghaddam,
Volume 24, Issue 74 (9-2024)
Abstract
The purpose of the present study is to assess the land surface temperature in relation to landuse for the city of Tabriz using remote sensing technology and GIS. Landsat 8 satellite image was used to map the land surface temperature for the study area. Atmospheric correction was applied to the desired image using the FLAASH method and the land surface temperature was estimated using the split-window algorithm for the study area with an accuracy of 1.51 degrees. Landuse map of Tabriz city in 6 classes was obtained using the object-based approach in eCognition software with an accuracy of 90/03. The results of studying the relationship between land surface temperature and landuse indicate that agricultural lands with a temperature of 18.22 °C have the highest land surface temperature. Also, water areas (rivers) have the lowest (10.30 °C) land surface temperature, because of their radiant power close to one. The research results also indicate that the split-window algorithm provides reliable results for land surface temperature estimation that can be used in environmental studies and earth sciences.
Hamid Bagheri, Rahime Rostami,
Volume 24, Issue 74 (9-2024)
Abstract
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.
Hamed Heidari, Darush Yarahmadi, Hamid Mirhashemi,
Volume 24, Issue 75 (12-2024)
Abstract
Human interventions in natural areas as a change in land use have led to a domino effect of anomalies and then environmental hazards. These extensive and cumulative changes in land cover and land use have manifested themselves in the form of anomalies such as the formation of severe runoff, soil erosion, the spread of desertification, and salinization of the soil. The main purpose of this study is to reveal the temperature inductions of the land cover structure of Lorestan province and to analyze the effect of land use changes on the temperature structure of the province. In this regard, the data of land cover classes of MCD12Q2 composite product and ground temperature of MOD11A2 product of MODIS sensor were used. Also, in order to detect the temperature inductions of each land cover during the hot and cold seasons, cross-analysis matrix (CTM) technique was used. The results showed that in general in Lorestan province 5 cover classes including: forest lands, pastures, agricultural lands, constructed lands and barren lands could be detected. The results of cross-matrix analysis showed that in hot and cold seasons, forest cover (IGBP code 5) with a temperature of 48 ° C and urban and residential land cover (IGBP code 13) with a temperature of 16 ° C as the hottest land use, respectively. They count. In addition, it was observed that the thermal inductions of land cover in the warm season are minimized and there is no significant difference between the temperature structure of land cover classes; But in the cold season, the thermal impulses of land cover are more pronounced. The results of analysis of variance test showed that in the cold period of the year, unlike the warm period of the year, different land cover classes; Significantly (Sig = 0.026) has created different thermal impressions in the province. Scheffe's post hoc analysis indicated that this was the difference between rangeland cover classes and billet up cover.
Reza Kheyroddin, Nazanin Mostafavi Esfahani,
Volume 24, Issue 75 (12-2024)
Abstract
Landuse planning goals as the main core of urban planning are classified and studied from different aspects. The inclusion of additional value of surplus funds in the city can highlight capital funding. Following this, changes in urban land demand as the spatial changes of activities and functions occur.The commercialization of residential areas and the tendency of residential landuse changes are the disadvantages of these changes,which constitute a major part of residential neighborhoods of Tehran metropolis ,especially the northern neighborhoods of the city. The main structure of Nasr neighborhood in the 2th district of Tehran is based on Gisha street. The most important issue is multiplicity of commercial land uses in the Gisha street. According to the observations there is a bank in every 45metres of the street , while the performance radius of bank activities is defined in the region scale. It is argued that land price growth, financial and speculative justifications of these changes can cause pressure on the environment.Therefore, according to the above mentioned factors,the main objective of this study is identifing the factors affecting landuse changes in the Gisha street.
The research method in this study is documentary , local survey as well as the use of factor analysis in order to determine factors affecting landuse changes.By using this method, accessibility,landeconomics and activity distribution and neighborhood structure were considered as three factors affecting land use changes in the Gisha street .
Finally, in order to plan to control the speculative consequences of these changes , the analysis of external and internal factors with regard to indicators in questionnaire, SWOT table and finally defensive strategy to offer strategies and policies was adopted these strategies were presented in two categories: sustainable management of income sources of urban management and control of changes in land use changes.
Dr Shahrivar Rostaei, Dr Rahim Heydari Chyaneh, Mr Ayoub Zoghi,
Volume 25, Issue 76 (3-2025)
Abstract
The occurrence of earthquakes and the losses and damages caused by it have always imposed a serious threat to the city, residents and assets, so that it has made planners and city managers to provide logical and scientific solutions to make cities safer. Securing cities against earthquakes will not be achieved only by creating strong structures, and we must take steps to reduce urban vulnerability through optimizing urban land use. The purpose of this study is to determine the optimal urban areas for the development of the city with the aim of reducing the vulnerability of Sanandaj. For this purpose, KNN method has been used as a model with relatively high accuracy to evaluate the optimal land use of Sanandaj city with an emphasis on earthquake risk. The obtained model output shows that about 32% of the city area is in optimal condition and district 2 with 42.78% equivalent to 406 hectares and district 4 with 50.85% equivalent to 658 hectares provide an optimal condition for the development of the city, towards reducing urban vulnerability and increasing urban land use optimization. The general condition of the city is not suitable in terms of optimality and the neighborhoods located in districts 1 and 2 are in a very inappropriate condition due to high population and residential density, very poor permeability and low adaptation of land uses. In evaluating the model, the value of the area below the curve is 0.951, which indicates the desirable performance of the model in examining the subject.
Mr Milad Khayat, Ms Atefeh Bosak, Dr Zahra Hejazizadeh, Dr. Ebrahim Afifi,
Volume 25, Issue 76 (3-2025)
Abstract
By employing urban growth and development modeling, it is feasible to delineate a developmental trajectory that aligns with the specific circumstances of a city, considering environmental factors, natural elements, and population dynamics. The aim of this research is to propose an urban development model for Shushtar, which can serve as a valuable tool for analyzing the intricate processes of urban transformations. To accomplish this objective, two datasets were utilized: urban land use maps (including educational spaces, healthcare facilities, residential areas, etc.) and Landsat satellite imagery for key land uses such as rivers, barren lands, and forests, spanning three time periods: 1991, 2004, and 2014. These datasets were processed using GIS and MATLAB software. Existing urban land use maps were digitized and subsequently updated using Landsat satellite imagery. Subsequently, influential parameters in urban development were introduced as inputs to the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm. After training the model for the years 1991 and 2004, the predicted results of urban development using the algorithm were compared with the actual situation in 2014, demonstrating a high accuracy of 93.7%. The land use change map, resulting from the change detection process, can be generated based on multi-temporal remote sensing images and their integration with urban land use maps, enabling an analysis of the associated consequences. The use of intelligent algorithms in this research has facilitated modeling with a high level of accuracy. The obtained results are deemed acceptable, and this development has also been predicted for the upcoming years.
