Showing 74 results for Land
Chenoor Mohammadi, Manouchehr Farajzadeh, Yousef Ghavdel Rahimi, Abbas Ali Aliakbar Bidokhti,
Volume 18, Issue 48 (3-2018)
Abstract
This study is aimed at estimating monthly mean air temperature (Ta) using the MODIS Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), latitude, altitude, slope gradient and land use data during 2001-2015. The results showed that despite some spatial similarities between annual spatial patterns of Ta and LST, their variations are significantly different, so that the Ta variation coefficient is four times the one of the LST. Our analysis indicated that while in winter latitude is the key factor in explaining the distribution of the differences LST-Ta, in other seasons the role of slope and vegetation become more prominent. After obtaining the spatial patterns of LST and Ta, we estimated Ta using regression models in spatial resolution of 0.125˚. The lowest estimation error was found in the months of November and December with a high explanatory coefficient (R2) of 70% and a standard error of 1 ° C. On the other hand, the maximum error was obtained from May to August with R2 between 59 to 63% and a standard error of 1.6 ° C which is significant at the 0.05 level. In addition, result of evaluation of individual months showed that estimation of Ta is more accurate at the cold months of the year (November, December, January, February, and March). With considering different land uses, the highest R2 was related to waters and urban areas (96 to 99%) in warm months, and the lowest R2 was for mixed forest and grassland (between 15 and 36%) in cold months.
Dr Mohammad Hossien Saraei, Mrs Samaneh Iraji,
Volume 18, Issue 48 (3-2018)
Abstract
The management of land development in the compilation of urban development documents is a very important topic. Failure to pay attention to this necessity, and the course of physical development foreseen for urban areas, make the main goal of the development plan, which improves the quality of housing in urban areas, not being realized. The purpose of this study is to introduce a functional model for land development management in order to guide and manage the urban development flow. To this end, the Land Readjustment Plan (LR) as the selected method of land management in urban areas is introduced and it is possible to perform it in a range of Yazd city. The general research method used in this descriptive-analytic study. The data used in this article collected by the library method as well as the field survey were used and analyzed using ArcGIS software. In this regard, a proposal for the scope of the study was compiled and evaluated before and after the implementation of the plan. The calculation of the distributional index showed that the proposed scheme would give 20% of the profits to the owners in the scope of the study. The conclusion from this study shows that using the Land Readjustment Program as an economic and design tool, planning and redevelopment of undeveloped lands can be done in accordance with urban needs. This planning involves modifying the layout of parts, modifying the network of roads, supplying services and infrastructure of the facility. Thus, the field of realization of urban development plans in these areas was provided. It also provided the basis for the participation of all stakeholder groups through creating the necessary attractions for the groups influencing the implementation of the project.
Fatemeh Mohammadyary, Hamidreza Pourkhabbaz, Hossin Aghdar, Morteza Tavakoly,
Volume 18, Issue 50 (3-2018)
Abstract
Land-use change is one of the most important challenges of land-use planning that lies with planners, decision-makers and policymakers and has a direct impact on many issues, such as economic growth and the quality of the environment. The present study examines the land use change trends in Behbahan city for 2014 and 2028 using LCM in the GIS environment. Analysis and visibility of user variations, carried out in two periods of Landsat satellite images of 2000 (ETM + sensor) and 2014 (OLI sensors), and land cover maps for each year. The transmission potential modeling was performed by using the multi-layer perceptron artificial neural network algorithm using six independent variables and the distribution of changes in user usage were calculated by Markov chain method. The results of the prediction showed that the most reduction in the changes is the degradation of the rangelands and the greatest increase in the area of agricultural use. According to the horizontal tabulation results of the 2028 map, it can be stated that from the total area of the area 28336.22 hectares of land were unchanged and 33223.78 hectares of land use change. Also Rangeland and forest degradation during this time period can be a danger to urban planners and natural resources.
nk href="moz-extension://8b922523-7922-435a-ac74-8ddb59e9beaf/skin/s3gt_tooltip_mini.css" rel="stylesheet" type="text/css" >
Mr Sirous Hashemi Darebadami, Dr Ali Darvishi Boloorani, Dr Seyed Kazem Alavipanah, Mr Mohammad Maleki, Mr Reza Bayat,
Volume 19, Issue 52 (3-2019)
Abstract
The term urban heat island (UHI), described the phenomenon of climate change in urban areas compared with surrounding rural areas. UHI effects include: increasing in energy and water consumption, air pollution expansion and interfering in thermal comfort. Surface urban heat island (SUHI) contains patterns of land surface temperature (LST) in urban areas that has interaction with UHI in urban canopy layer and urban boundary layer and investigate with thermal remote sensing. SUHI has diurnal and seasonal variations so requires multi-temporal data to analysis SUHI. In this study, the multi-temporal MODIS (Aqua and Terra) data product were used to analyze the SUHI in day and night in Tehran metropolitan. Physical and biophysical surface properties such as: land cover/land use (LULC), elevation, albedo, vegetation index (NDVI) and impervious surfaces index (NDBI) were used to interpretation of the LST and SUHI changes. The results showed that SUHI in Tehran, has spatial-temporal diurnal and seasonal variation. So that during warm days the surface urban cool island (SUCL) is formed in Tehran. At night times, SUHI index values was different between 2 and 5 ° C (maximum in the spring). The results also showed that different of land cover thermal properties, albedo and elevation was the most important factors is the diurnal changes of SUHI while phonological changes of vegetation and albedo, was the most important factors in seasonal changes of SUHI.
Dr Vahid Riahi, Dr Parviz Zeaiean Firouzabadi, Dr Farhad Azizpour, Ms Parastoo Darouei,
Volume 19, Issue 52 (3-2019)
Abstract
The cognition of cropping pattern is important for planning and resource management .Remote sensing as a science and technology of spatial information and geographic information system due to having the analytical facilities can play a key role in determining the distribution of crops and their lands under cultivation. In this research, in order to identify and separate the lands under cultivation of the dominant crops in Lenjanat of Isfahan province, the multi-temporal images of Landsat 8 satellite, OLI sensor were used in the dates of April 17, July 6, and August 23 in 2016. Using maximum likelihood classification and normalized difference vegetation index (NDVI) of the agriculture crops in different periods of growth and according to their cropping calendar, the map of the cropping pattern of the area was determined. To evaluate the accuracy of the results, the produced maps were examined with reference data. Kappa coefficient and overall accuracy were 0.88 and 90%, respectively, in maximum likelihood classification, and 0.90 and 93%, respectively, in NDVI. Furthermore, statistics presented by Agricultural Jihad Organization of Isfahan province in the 2015-2016 crop year was used for evaluation. The results showed that there were differences equal to 10.2%, 18.6% and 1.8%, in the area under cultivation of wheat and barley, rice, and potato and forage, respectively, in maximum likelihood classification, comparing with the statistics of Agriculture Jihad while the results of NDVI comparing with Jihad statistics showed the errors equal to 6.6 %, 6.5 % and 3.2%, respectively, that indicated the better performance of temporal vegetation indices in estimation of area under cultivation according to its phenology. Investigation of land use and cropping pattern of this area indicate a high centralization of agricultural lands with high water requirements and industries on the proximity of Zayanderud River which necessitates the spatial analysis of land use in this area.
Hassan Mahmodzadeh, Sodabeh Panahi, Mahdi Herischian,
Volume 19, Issue 52 (3-2019)
Abstract
From the late twentieth century, human kind has found out that if he wants to obtain cost efficiently and continuous utilization of lands, it is better to execute this in a planned framework named management plan. Such idea is became as an introduction to monitor the land or utilization of lands. Monitoring lands means contribution of an optimized space for land utilization with realization of common upcoming and related to each other in the past, now and in the future.Therefore, the objective of this research is to select the suitable lands with monitoring lands of view in the city of Hamedan using a Multi-Objective Land Allocation method.The aim of Multi-Objective Land Allocation method use is to contribute selection of proper lands with monitoring approach based on ideal levels concept which have been executed by 3 different ecologic, socio-economic and strategic aspects existing in the territory.The examined use include agricultural use (water system or dry farming), pasturing use and urban use which based on the highest weight of independent variables, the area has been allocated to mentioned use with land monitoring approach.In what follows, the land suitability map is obtained through MCE operation for each type of land use and the obtained land suitability areas were calculated using these maps for which the results are as follows: irrigated agriculture with 601.176 hectares, dryland farming with 961.193 hectares, urban suitability with 762.984, and rangeland management suitability with 960.552 hectares which is an important criterion for determining the area for implementing MOLA.In the next step, it was time for implementing MOLA module for resolving the contradictions among the uses.The results of MOLA showed that in average for the three studied aspects, the maximum area was associated with dryland farming with 364.4 hectares which is equivalent to 32% of the studied uses and the maximum weight of 0.4 was associated with irrigated agriculture.These resulted were obtained based on five factors (i.e. the current area of each land use, the favorable area for each land use based on MCE method, the occupational dependencies of different individuals to each land uses, prioritizing the ecological, economic, and social aspects of each land use).Finally, the results showed that selecting the suitable lands with spatial planning point of view using a Multi-Objective Land Allocation method is carried out properly through economic, social, and ecological aspects.
Taher Safarrad, Mehran Mansourinia, Hersh Entezami,
Volume 19, Issue 53 (6-2019)
Abstract
Population growth and urbanization development are the main triggering factors of changes in urban land uses. These, in turn, result in changes in the components of radiation balance. The present study tries to analyze the role of urban land uses in radiation balance by calculating net radiation and its analysis. For this purpose, the Landsat 8 satellite image of 2016 was used. Characteristics of radiation flux including net radiation flux (RN), ground surface albedo (α), incoming longwave radiation (RL↓), incoming shortwave radiation (RS↓), outgoing longwave radiation (RL↑), and ground surface temperature were computed using Sebal algorithm.The values of these components in different land uses (compressed residential, scattered residential, green area and wastelands) were analyzed using one-way analysis of variance (ANOVA) and Tukey’s test. The results of this study showed that the selected land uses have significant differences in the amount of radiation flux, therefore the wastelands are warmer than the residential areas by about 6 oC and the residential areas are warmer than the green areas by about 1.5 oC. The results also indicated that these differences are due to changes in output energy (α and RL↑), and any change in land use over time will ultimately lead to a change in the radiation balance and the temperature of those places, which this temperature increase, is different from the increase of the temperature due to global warming.
Dr Sayyad Asghari, Hadi Emami,
Volume 19, Issue 53 (6-2019)
Abstract
Earth surface temperature is an important indicator in the study of energy equilibrium models at the ground level on a regional and global scale. Due to the limitation of meteorological stations, remote sensing can be an appropriate alternative to the Earth's surface temperature. The main objective of this study is to monitor the surface temperature and its relationship with land use, which is monitored using satellite imagery. For this purpose, the images were first obtained and the necessary pre-processing was applied to each one. Then it was compared to modeling and classification of images. Firstly, in order to investigate the changes in user-orientation, a user-defined classification map for each object was extracted using the object-oriented method. Then, to investigate the land use change, a map of user-landing changes map was extracted in an 18-year time period (2000-2017). Finally, in order to monitor the surface temperature, the surface temperature map of Ardebil was extracted. The results showed that there is a strong relationship between land use and surface temperature. As a user, urban users have a temperature of about 41 ° C (2017), which is also due to heat-absorbing urban temperatures. This is despite the fact that the use of hydrocarbons is due to a lower heat absorption of 34 ° C (2017). This shows the role of different uses in determining surface temperatures. Also, the relationship between surface temperature and vegetation cover was investigated in this study. The results showed that areas such as soil and urban areas with a lower coverage than areas such as agriculture and pasture, have a higher temperature. Because the coating is always an obstacle to the entry of heat, it has an inverse relationship with superficial heat.
Ms Masoumeh Amiribesheli, Mr Hosein Mogtabazadekhanghahi, Mr Yosefali Ziari, Mr Ali Nourikermani,
Volume 19, Issue 54 (9-2019)
Abstract
The urban land management is an l part of the urban management. In some countries such as Iran, there is no integrated urban land management and providing municipal services is assigned to nationwide organisations. This means urban management is offered by the municipality or subsidiaries of the aforementioned organisations such dispersion has occurred during serval decades. It is considered as the roots of organizatinal inefficiencies ( offocial and financial corruption is regarded as basic reasin for many crimes) and the origin or many conflicts between people and organizations(judicial) To do so, it follows an applied analytical descriptive approach. To analyse the data, mathematical and statistical methods were applied using Excel and SPSS. Moreover, the GIS was used for visualisation and adaptive analysis. The study concluded that lack of clear visions and consequently uncoordinated organisations and their policies, isolated and vertical decision-making, and unmanaged intervention without the required organisational capacities are the critical reasons for inefficient urban land management.
Miss Rahimeh Rostami, Dr. Ali Mohammad Khorshiddust, Dr. Mohammadreza Nikjoo, Dr. Hassan Mahmudzadeh,
Volume 19, Issue 55 (12-2019)
Abstract
The drying of Lake Urmia has had many environmental impacts on the surrounding areas of the lake. In this research, efforts have been made to identify vegetation coverings that are compatible with the study area and then it use of multiplicative decision-making models for identify areas susceptible to cultivation of these products. In the present study, following the study of species in the region of rapeseed, was selected as a suitable halophytes plant. Initially, using Landsat 5 and 8 images, the changes in the land use type and vegetation cover type of the region were investigated from 2000 to 2016, and after calculating the changes, the potential planting of the halophytes plant was sought. The ANP Fuzzy method was used to estimate the ability to cultivate rapeseed. Main criteria used in this research are topography, soil and meteorology. The topographic sub criteria are included: height, slope and tilt direction, soil criteria including soil texture, soil salinity, and soil pH and soil organic matter. Finally, the criteria for meteorological data are total annual precipitation, Relative humidity, average annual temperature, maximum annual temperature and annual minimum temperature. These layers first be changed to fuzzy and then, applying the weight of each of the following criteria, a map of the main criteria of soil, topography and meteorology was prepared and finally, by combining these three main parameters, the potential mapping was obtained. The results indicate a 25.43 percent reduction in water content and an increase of 21.03 percent in saline areas between 2000 and 2016, and the results of identifying areas susceptible to cultivation of halophytes plants have identified 14.28 percent of the study area suitable for rapeseed cultivation.
Mokhtar Karami,, Rahman Zandi,, Jalal Taheri,
Volume 20, Issue 56 (3-2020)
Abstract
In recent years with the development of cities coatings of the Earth's has changed surface. These changes have caused some urban areas to have a few degrees higher than the surrounding temperature. This phenomenon is known as thermal islands. Mashhad is one of the major metropolises in Iran with the problem of thermal islands. Various parameters affect the formation of thermal islands in this city that should be considered. In this study TM, ETM+ and OLI images were used to obtain surface temperature over the period 1987-2016. The study of temporal variations in surface temperature showed that in the studied period, thermal islands were transferred from outside the city to the city. The model for describing the temperature of the surface of the earth has changed and has diminished from the temperature of the city's moderate and cool temperatures, and in contrast, the amount of high temperatures (thermal islands) has increased significantly. The TOPSIS method was also used to obtain the thermal forming factors. 13 natural and human factors affecting the formation of thermal islands were identified. Each expert opinion factor was used to determine the degree of importance. According to experts, the distance from the sanctuary with a weight of %234 and traffic of %155 is the most important and the height with a weight of %022 is least important in the formation of thermal islands. The final results obtained from this model showed that the factors affecting the formation of thermal islands are well recognized and the temperature decreases with these factors.
Siyamack Sharafi, Masoud Sadeghirad, Zahra Javadi Nia,
Volume 20, Issue 56 (3-2020)
Abstract
the occurrence of landslides in the direction of rivers, especially in the mountainous regions of Zagros range are processes that block rivers and form lake barriers. Della Landslide is an example of such landslide that occurred in the course of Shimbar River drainage and eventually created Lake Shimbar. geoarchaeological field studies performed on this slide using topographic maps, geological, digital model of the area, satellite images and Arc GIS software on the landslide and basin lake Shimbar resulted in the identification of the causes of landslides and changes in three stages of the lake. This study eventually rebuilds Paleogeomorphology of landslide area and the lake's dam Shimbar. The results showed that the main cause of the occurrence of landslides were tectonic processes in the region and based on archaeological evidence and the archaeological excavation of the canal, the landslides occurred before 2000 years ago. The formation and changes in the scope and depth of the lake Shimbar in 3 stages blocked the migration routes in area for a long time.
Dr Mohammad Ebrahim Afifi,
Volume 20, Issue 56 (3-2020)
Abstract
Land use maps are considered as the most important sources of information in natural resource management. The purpose of this research is to review, model, and predict landslide changes in the 30-year period by LCM model in Shiraz. In this research, TM Landsat 4, 5 and OLI Landsat 8 images were used for 1985, 2000 and 2015 respectively, as well as topographic maps and area coverage. Subsequent validation and detection of changes were made using the prediction model of variation The use of LCM markov and the model of user change approach. The images were classified into four classes of Bayer, garden, urban lands, and arable land for each of the three periods. According to the results, aquaculture is the most dynamic user in the area, which has led to an upward trend during 1985-2015, so that the amount (4337 ha, 12.7%) has been added to this area. The Bayer user change trend was also a downward trend during 1985 to 2015, reducing the 99.1995 hectares of this class. The results of the change in the 1985 changes with a kappa coefficient of 0.88, in the 2000 period with a CAAP of 0.77, and in the period 2015 with a Kappa coefficient of 0.92. The results of the change detection in 2030 are such that if the current trend continues in the region, 20.33% will be added to the crop category, so that in 2030, agricultural cropping will be 95.60% of the area of the area Gets In the Bayer and Garden uses 21.22% and 0.21% of the total area of each user has been reduced and has been added to the urban area. The prediction map derived from the Markov chain model is very important for providing a general view for better management of natural resources.
Amir Safari, Ali Ahmadabadi, Zahra Sedighifar,
Volume 20, Issue 57 (6-2020)
Abstract
Flood plains and adjacent rivers, which, due to their particular circumstances, are considered suitable places for carrying out economic and social activities, are always subject to the dangers of flood events. Hence, in these areas, determination of flood progression and its elevation relative to the surface of the earth, as well as determining the characteristics of the flood during the various return periods, which will be called flood zoning, will be of great importance. In this regard, this research aims at integrating the WMS hydrologic model with ARC GIS software to estimate flood zones in the Damand, Goladdareh, Saadabad and Maghsoud Baik watersheds on the main river of Darband. At first, the river Darband was divided into 19 main sections and in the HEC-RAS model, the river was zoned. In this research, using different digital maps, the flood extent in the riverside lands was calculated for a flood with a return period of 2 to 500 years. The SCS method was also used to increase the accuracy and reliability and also to identify areas susceptible to runoff production. The results of the study show that, due to land use changes, especially in the river basin and the abundant construction of the studied basin, there is no flood control power.
Mehdi Razjouyan, Sadralddin Motavali, Gholamreza Janbaz Ghobadi,
Volume 20, Issue 57 (6-2020)
Abstract
Tourism with a wide range of environmental, economic, social and physical impacts is one of the factors affecting the pattern of land use which, depending on the region's ability to attract tourists, as well as the type, volume and forms of tourism, the intensity and quality of this change effect varies. One of the many factors that can affect sustainable urban development is tourism and its consequences, so that a comprehensive study of the implications of tourism development in a metropolitan area needs to be considered as a sustainable urban development. The method of research is after collecting field information. Using a completed questionnaire, SPSS software is used to analyze the data. Then, using descriptive and inferential statistics, we analyze the relationships between the variables. And also, to show the results of analytical and descriptive data GIS and Excel software were used. Finally, in GIS software environment, the zoning of the best places for tourism development will be analyzed. The results of this research show that from the perspective of half of the officials and government experts, the expansion of tourism industry, on one hand, causes the region's economic prosperity and, on the other hand, reduces regional security and causes pollution of the environment.
Mrs Mehrnaz Rezvani, Mr Yosefali Ziari, Mr Naser Eghbali, Mr Hosein Mojtabazade Khanghahi,
Volume 20, Issue 57 (6-2020)
Abstract
Urban land utilize planning, for optimal use of existing facilities and urban spaces is one of the main cores of urban planning, which is usually defined as a multi-objective issue. In line with the absence of specific categorization, system for land use in Iran the use of metaheuristic algorithm and artificial intelligence is required. One of the algorithms that introduced and used in recent years are the optimization algorithm (BBO) based on biogeography. Current research is from practical research group and type of descriptive-analytic research, the data analysis method would be write and execute in MATLAB software by using biogeography algorithm. The purpose, after identifying most effective variable, will be to improve the present status of the system's distribution use indicators and their adjacency in the county surface. For comparing the results of current research, in terms of desired area needed uses with development plan of Semnan County, each dimension of (GIS) layer should be provide.overlapping of the layers would be compare with development design.
Dr Sayyad Asghari, Roholah Jalilyan, Dr Noshin Pirozineghad, Dr Aghil Madadi, Milad Yadeghari,
Volume 20, Issue 58 (9-2020)
Abstract
Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data used plays an important role in water body extraction. In this study, ability of Landsat satellite with application of water indices, to extraction of Gamasiab River in Kermanshah and comparing these indices have been investigated. Specific feature of Low width and shallow rivers has increased the complexity of studies of such rivers using available data. Water body extraction from remote sensing images has been over the past two decades. Water indices were first developed using Landsat TM and Landsat ETM. But its better performance in Landsat 8 is well documented by the researchers. In this study, NDWI, MNDWI, AWEI_nsh, AWEI_sh and WRI indices were used. With extracting optimal threshold from histogram of indices and applying this threshold, the study area was classified into two classes of water and non-water. Then overall accuracy and kappa coefficient values were taken from each of the indices. Finally, AWEI index with overall accuracy of 99.09% and a Kappa coefficient of 0.98 was the best response among the indices in the study area. The results this study showed that approach can easily extract water from satellite imagery.
Saeedeh Feizi, Mostafa Basiri,
Volume 20, Issue 58 (9-2020)
Abstract
The concept of the city's landscape is connected with the objectivity and subjectivity of that city. Therefore, in order to manage this concept at night, in addition to functional-physical manifestations of the city, we should focus on the perceptual issues of citizens, which may have roots in their ancient identity, religion and customs. By accepting this hypothesis, a suitable model for night-time urban landscape management should be considered as a model that reveals both the physical and functional aesthetics of the city, as well as the perceptual and psychological components of the citizens from the night view. Nowadays, with the expansion of night life, the concepts of the quality of the location of urban landscapes at night has became as important as day. The aim of this study is to evaluate the relationship between lighting and the sense of dependency that is one of the key factors in location's quality and the role of new lighting technologies in promoting the Social-physical concept of sense of dependency and its impact on the transformation of the environment into a more humane urban environment. The research is a survey in which, for data gathering, a questionnaire with different images of the study area has been distributed among the selected statistical population. The findings indicate that the vitality and subjective image's of citizens are directly related, and the amount of lighting and its color and the way of lighting have a positive effect on urban nightlife.
Ph. D. Ali Amiri, Mr Hojat Naderi,
Volume 20, Issue 58 (9-2020)
Abstract
For many coastal countries, maritime supremacy has always been a major concern of their grand strategies. The existence of islands is one of the most important means to acquisition of maritime supremacy in maritime territories. Iran, Due to its maritime position, has many islands in the Persian Gulf, the most important of which are the Triple islands (Greater Tunb, Lesser Tunb and Abu Musa). The political issue of the United Arab Emirates' claim to the islands and their very strategic position has made these islands very important in the Persian Gulf maritime supremacy. Therefore, the analysis of how these islands affect Iran's maritime supremacy is considered as the main issue of this paper. Here, the method of data collection is library and documentary. Then, the collected data were analyzed by qualitative- inferential method. The results show that the Triple islands in various ways have expaned the Iranian maritime supremacy and have helped to stabilization Iran's maritime supremacy in the Persian Gulf and the Strait of Hormuz. These islands have increased the Iran’s Maritime supremacy by extension Iran's maritime sovereignty under international maritime law and the FIR line, located adjacent to the Hormuz International Waterway, defination maritime traffic Corridors, and playing the role of Warship in Iran's naval navy.
Abolghasem Goorabi,
Volume 21, Issue 60 (3-2021)
Abstract
Radar sensors obtain regular and frequent radar images from which ground motion can be precisely detected using a variety of different techniques. The interferometric synthetic aperture radar (InSAR) is utilized to retrieve the spatial characteristics of the largest coseismic landslide Maleh-Kabood, induced by the Ms 7.3 Azgleh earthquake in Kermanshah Province, Iran. The available seven interferometric pairs with good coherence selected from the Sentinel 1, 2 imagery data covering the NW-Zagros mountainous area are used in the study. The post-seismic topographic change relative to the pre-seismic over the landslide area is spatially mapped from the persistent scatterer network adjustment solution. The quantitative estimation of local elevation change, mass sliding volume and deposit thickness associated with the landslide is conducted. The spatial pattern of mass movement suggests that the giant landslide is characterized by a major sliding length of 3570 m along the NW–SE directions with an extension width of 1500-2300 m along the Maleh-Kabood and Ghoch-Bashi gully respectively, and a peak height change of 20 m in the vertical direction neat mountain ridge. The affected area of landslide mass movement reaches 6.0 km2 (577 Hectares) with the volume up to 500 million m3. Comparative studies indicated that the Maleh-Kabood landslide is the largest landslide in Iran over the past few centuries. The study also demonstrates the potential of InSAR technique as an alternative to allow the quantitative measurement of mass wasting volume associated with earthquake-induced giant landslides.
