List of Articles لندست

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  1 - Study of Land Use Change Using Geographic Information Systems and Remote Sensing Techniques
  Mehrdad  Khanmohammadi Maryam  Haghighi khomami Mohammad panahandeh Mahsa Abdoli Laktasaraei
  10.29252/.3.5.3
  Indeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective tech More

  Indeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective technology for monitoring environmental changes and resource management. The purpose of this research is to detect the land use /cover changes in Bojagh National Park in Guilan province during 2000-2017. For this purpose, the images of ETM+ sensor from the landsat 7 were taken in the year 2000 and the images of OLI sensor from the landsat 8 were taken in the year 2017. After applying the necessary preprocessing on the images, the training points were selected for each user class in sufficient number and with appropriate processing then, the land use / cover map was produced using the supervised classification method with maximum likelihood algorithm. Using the Overall accuracy test and Kappa coefficients, accuracy of the produced maps was determined. The results of the study indicated that the areas of the sea, grassland and the areas of the waterbody parts has decreased and the areas of the agricultural, marshland, man-made, woody and bare lands users show an increase during the study period. Manuscript profile
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  2 - Investigation of forest land use degradation due to dam construction using satellite images processing
  mandana azizi Mohammad panahandeh
  10.29252/.5.8.37
  Identify land uses and land use changes to investigate and monitor sensitive areas is essential for sustainable land planning and management. The main objective of this study is to investigate the land use changes caused by the construction of Shafarood Dam in the Hyrca More

  Identify land uses and land use changes to investigate and monitor sensitive areas is essential for sustainable land planning and management. The main objective of this study is to investigate the land use changes caused by the construction of Shafarood Dam in the Hyrcanian forests in the north of Iran during a 17-year period using Landsat satellite imagery. To do this, three satellite imagery of the years 2000, 2013 and 2017 were used, and the corrections (geometric and atmospheric) were applied on the images and the map of the land use for each section in the region was prepared using the classification method of the maximum likelihood that the produced map have Kappa coefficient more than 86% and usage accuracy of 0.83. After classification, the comparison method was used to monitor the land use changes. The results revealed that in every three years, the most land cover of Shafarood watershed belongs to the forest class and in the next rank belongs to the rangeland class. As a result, the continuous decline of the forest class accured from 63.05 percent to 57.27 and 57.22 percent in the first section for the years 2013 and 2017 respectively. The continuous increase of the rock class (8.15-9.10-10.45) and bare lands (3.5- 4.47-5.08%) confirms it in the study area. Environmental challenges of constructing the Shafaroud dam is another emphasis on the importance of conducting advanced and specialized studies based on ecological methodologies and also increasing the decision makers awareness of Hyrcanian forests complexity which has formed in a very long-time period. Manuscript profile
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  3 - Monitoring and determination of the urban green coverage threshold based on Landsat data, Case study: Zones 1 and 6 from Shiraz city
  hadi abdolazimi Hosein Roosta
  10.29252/.5.7.125
  Changing the use of urban green cover over time can create various environmental hazards for the citizens of a city. Due to the importance of the subject, the present study intends to investigate the temporal and spatial changes of green cover in areas 1 and 6 of Shiraz More

  Changing the use of urban green cover over time can create various environmental hazards for the citizens of a city. Due to the importance of the subject, the present study intends to investigate the temporal and spatial changes of green cover in areas 1 and 6 of Shiraz metropolis using Landsat satellite images during five decades (1972 to 2019). For this purpose, after performing radiometric and atmospheric corrections, maps resulting from plant indices including NDVI, SAVI, OSAVI as well as the maximum likelihood algorithm were prepared in ENVI5 software and classified and evaluated in Spatial Information System (GIS). The results of this study showed that the area of the green cover in region 1 has decreased in terms of hectares in NDVI, SAVI, OSAVI indices respectively and also in the maximum likelihood algorithm has decreased from 1394 to 428, from 789 to 421, from 815 to 419, from 1402 to 439, respectively and in region 6 was decreased from 1374 to 858 (NDVI), from 1160 to 862 (SAVI), from 1149 to 884 hectares (OSAVI) and in the algorithm, the maximum likelihood of similarity has decreased from 1393 to 855 hectares. Investigation of threshold values of plant indices to identify urban green cover showed that the range of threshold values in NDVI was variable from 0.2 to 0.3, in SAVI was variable from 0.44 to 0.47 and in OSAVI was variable from 0.34 to 0.36 and using Pearson test in SPSS software, correlation coefficient values between NDVI, SAVI, OSAVI, maximum likelihood algorithm and the studied years were significant at the 1% level. The results of this test also indicated that there was no significant difference between the results of these methods in this study. This reduction of green cover is considered a serious danger for the citizens of Shiraz. Manuscript profile
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  4 - Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan)
  Rahman Zandi Hajar Shehabi Ebrahim Akbari
  10.29252/.4.6.103
  Forest is a valuable heritage and one of the important factors in the ecosystem of each area that in addition to using and exploiting them, they should be preserved. Zagros’ forests, especially in Lorestan province due to negligence have been destroyed throughout past y More

  Forest is a valuable heritage and one of the important factors in the ecosystem of each area that in addition to using and exploiting them, they should be preserved. Zagros’ forests, especially in Lorestan province due to negligence have been destroyed throughout past years. The aim of this research is to investigation, detect and modeling Romeshkan’s forests’ cover changes. To do this, first changes that were taken place between 1987-2017 were extracted by satellite Landsat images and using Fuzzy Object-Based classification method, then, were classified in 5 classes (Agriculture, Forest, Range, water and Residential). Finally, classification results show that there is a sharp decrease of forested areas (81.17 km2) and an increase of Range and Farmlands over past 30 years in the forest area. In a period of 1987-2002 forest cover of the study area had not faced major changes, but most of the rangelands turned to farmlands. While in the second period from 2002 onwards forest cover dramatically dipped and its area decreased from 122.58 km2 to 43.42 km2 in 2017, which the rate of forest covers decrement was around 79.16 km2. Moreover, in order to predict forest cover changes in the future CA-Markov model was applied that indicates 10.70% of current forest covers will be reduced in 2030, and the main changes will be occurred between forest classes to farmlands and rangelands classess by 6.901 and 9.172 km2, respectively. Manuscript profile
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  5 - Evaluation of Land Use Change Using Remote Sensing Data (Case study: Nukabad watershed, Khash city)
  Hossein Piri Sahragard Mohammad reza  dahmardeh Mansour  Rigi
  Identifying and reviewing land use change can help managers and planners to identify the factors affecting the change of user and the adoption of appropriate management decisions at different levels. The present study was carried out with the aim of studying land use ch More

  Identifying and reviewing land use change can help managers and planners to identify the factors affecting the change of user and the adoption of appropriate management decisions at different levels. The present study was carried out with the aim of studying land use change and land use classes using remote sensing method in Noukabad watershed in Khash city, Sistan and Baluchestan province. For this purpose, after determining the boundary of the study area, using maps 1:50000, associated temporal data were obtained from the Landsat Satellite of the American Geological Survey. After geometric, radiometric and atmospheric correction, land use classification based on satellite images for study periods (1994-2000-2005-2010-2016 years) were determined. The accuracy of the production maps was determined using the general accuracy and kappa coefficient. After the application of the land use map in the ArcGIS software environment, the comparison of land use changes between the studied periods (each statistical period with the previous statistical period) was performed. Based on the results, overall classification accuracy of user-generated maps for the years 1994 (97.45%), 2000 (97.21%), 2005 (98.04%), 2010 (97.09%) and 2016 (97.06%) were rated as relatively good. The results of land use change trend showed that the most changes were in mountainous rangelands and the least changes were related to rivers, and in the meanwhile, agricultural lands and residential areas had moderate changes, which the main reason of these changes can be considered climate change and human intervention. These results indicate that the correct recognition of land use changes is caused, Managers identify the strengths and weaknesses of their executive plans and take steps to resolve them. Manuscript profile
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  6 - Evaluation of the Progression of Boxwood Blight Disease in the Forests of Northern Iran Using Satellite Image Processing Techniques
  marzieh ghavidel Peiman Bayat Mohammadebrahim farashiani
  In recent years, boxwood dieback has become one of the essential concerns of practitioners and managers of the natural resources of the country. To control the expansion of the factors contributing to the dieback of box trees, the early detection and preparation of dist More

  In recent years, boxwood dieback has become one of the essential concerns of practitioners and managers of the natural resources of the country. To control the expansion of the factors contributing to the dieback of box trees, the early detection and preparation of distribution maps are required. Assessment data can play an important role in this regard. The combination of high-resolution and low-spectrum panchromatic images with low resolution is used for evaluating the extent of destruction. Also, spectral and textural features are considered simultaneously in images extracted from Landsat 8 satellite. Finally, by extracting effective features from the candidate description space with the help of genetic algorithm and using the appropriate classification in the form of simultaneous application of fuzzy clustering and maximum similarity classification of area resulted in good accuracy in 2014-2018. The coefficients obtained from the models confirm their model validation for future estimates and the possibility it usage to assess the extent of the affected areas and the evolution of progress for all regions. Manuscript profile
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  sadegh Afshar Najafi Aziz Rahimi taghi Nabaei mahnaz Rezaeian
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  8 - Assessment of Spatial and temporal changes in land use using remote sensing (case study: Jayransoo rangeland, North Khorasan)
  Mohabat Nadaf Reza Omidipour Hossein  Sobhani
  10.61186/jert.43616.8.14.131
  <p>Awareness of changes process, as well as the proper management of land use in natural ecosystems, is of great importance in conservation natural resources. In this regard, the use of remote sensing has become a common approach due to the provision an extent spatial a More

  <p>Awareness of changes process, as well as the proper management of land use in natural ecosystems, is of great importance in conservation natural resources. In this regard, the use of remote sensing has become a common approach due to the provision an extent spatial and temporal information. In this research, in order to land use mapping, first, the accuracy of three common methods of pixel-based (maximum likelihood), machine learning (support vector machine) and object-oriented methods were compared. Then, the spatial and temporal changes of land use in a period of 26 years (1997-2023) assessed using six Landsat satellite imagery. The accuracy of image classification methods was evaluated using Kappa coefficient and overall accuracy indices and the change trend was evaluated using crosstab and spatial evaluation methods. Based on the results, the support vector machine method had the highest kappa coefficient (0.71 to 0.98) and overall accuracy (86 to 99%) for all studied courses. According to the results, poor rangeland had a decreasing trend, and the land uses of very poor rangeland, bare soil, and rainfed agriculture had increasing trends. The area of poor rangeland decreased from 962 hectares (44.36%) in 1997 to 489 hectares (22.57%) in 2023, while very poor rangeland increased from 1138 hectares (52.48%) to 1606 hectares (74.05 percent) in the same period. The results of this research indicated that the trend of land use changes in Jayransoo rangeland is towards the destruction of rangelands and with the passage of time this trend is intensifying. Also, based on the results obtained from this research, it is suggested to use machine learning based classification method to prepare land use mapping in future research.</p> Manuscript profile
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  9 - Study of Urban Development and Vegetation Changes in Mazandaran by Change Vector Analysis to Protection and Landscape Management Improvement
  niloufar islamzadeh
  10.61186/jert.45155.8.14.35
  <p>Mazandaran province has always been considered by tourists due to its high tourism potential. Therefore, in order to satisfy the people and tourists, urban development has been expanded there. In addition, the relative increase in population, the development of indus More

  <p>Mazandaran province has always been considered by tourists due to its high tourism potential. Therefore, in order to satisfy the people and tourists, urban development has been expanded there. In addition, the relative increase in population, the development of industries, the problem of solid waste and wastewater, habitat destruction, energy, transportation and agriculture demand have affected the environment of Mazandaran. On the other hand, it has a high rate of vegetation degradation. Monitoring of land use and land cover changes play an important role in urban planning and landscape management. The main purpose of this study is to investigate the changes of Mazandaran province landscape using the time series of satellite data from 1988 to 2018 in order to plan for better management to protect the landscape and control development and destruction. In this study, urban development and vegetation changes of Mazandaran province were studied using Landsat satellite images by Change Vector Analysis method in each city over a period of 30 years. The results showed that the rate of urban development and vegetation degradation change in the study period is increasing in the province. The high rate of urban development changes in terms of percentage of area is related to the cities of Babolsar, Nowshahr and Chalous, includes 21, 15 and 11% of their total area, respectively. These three cities have the highest number of tourists per year and the highest number of villas. The high rate of destruction of deforestation in terms of area related to Sari, Neka and Behshahr, in the east of the province, includes 27, 11 and 7 hectares, respectively. The change vector analysis method has the ability to satisfactorily reveal and classify all types of changes in magnitude and direction in the landscape.</p> Manuscript profile
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  10 - Employing different techniques to explore, modeling and reserve estimation of gypsum deposit in the northwest of Tafresh district, Markazi province
  Reza Ahmadi
  <p>In the present research, to explore gypsum reserves in the northwest of Tafresh district, a complete process including prospecting to reserve estimation has been carried out. To achieve the goal, first, an extensive area of 4500 km2 was investigated using remote sens More

  <p>In the present research, to explore gypsum reserves in the northwest of Tafresh district, a complete process including prospecting to reserve estimation has been carried out. To achieve the goal, first, an extensive area of 4500 km2 was investigated using remote sensing operation through Landsat 8 Operational Land Imager (OLI) images. Using proper pre-processing and processing techniques containing principal component analysis, false color band combination, least squares regression and spectral angle mapper on the images, 17 promising areas scattered in the region were identified. Based on more detailed studies and field surveys of the promising areas, it was specially focused on Darbar gypsum deposit located nearby Darbar village. Therefore, a variety of exploratory activities comprising six trenches with a total volume of 135.61 m3, one stope (selective mining unit), 1:1000 topographic-geological map, chemical analysis of 9 samples and drilling of one exploratory borehole with a depth of about 40 m was performed. The results of the chemical analysis of the samples show that the total percentage of SO3 and CaO compounds for all tested samples is more than 76%. In addition, the result of the technological test to determine the quality characteristics of the stone and baking ability in the pilot scale evaluated by Nizar Cement Factory of Qom is desirable. Gypsum modeling and reserve estimation of this deposit were also done with the classical method of contour lines using Surfer software. Based on the calculations, the in-place reserve of Darbar gypsum deposit was estimated significant amount of 5982610 tons.</p> Manuscript profile