List of Articles Remote Sensing

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  1 - Estimation of wheat area cultivation using Sentinel 2 satellite images (Case study: Sojasroud region, Khodabandeh city, Zanjan province)
  Seyed Ahmad  Seyed Ahmad Nadia Abbaszadeh Tehrani Milad Janalipour
  10.29252/.5.7.77
  Wheat is one of the strategic agricultural products which provides one of the most basic nutritional needs of human societies for Iran and the whole world. Having the right statistics and information of the lands under wheat cultivation and estimating the amount of thei More

  Wheat is one of the strategic agricultural products which provides one of the most basic nutritional needs of human societies for Iran and the whole world. Having the right statistics and information of the lands under wheat cultivation and estimating the amount of their production in one crop year can help the planners of agriculture and industry to manage the production and consumption of the mentioned product as effectively as possible. One of the tools that can calculate the level of wheat cultivation in the shortest time and with low cost and appropriate accuracy is the science and technology of remote sensing. In the present study, using a supervised classification of images from several time of Sentinel 2, the area under wheat cultivation and its production rate for the 96-97 crop year has been estimated. Supervised classification with the overall accuracy of 80% and a kappa coefficient of 0.8 has acceptable and suitable results for the identification and separation of wheat from other agricultural crops. Manuscript profile
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  2 - Urban Growth and Its Influencing Factors
       
  The urbanization process and urban growth in different parts of the world result from the interconnected interactions between factors and various socio-economic, political, technological, geographical, cultural, global and local issues. Accordingly, identifying the driv More

  The urbanization process and urban growth in different parts of the world result from the interconnected interactions between factors and various socio-economic, political, technological, geographical, cultural, global and local issues. Accordingly, identifying the driving and shaping factors of the growth of cities is vital for urban planning and sustainable development, especially in developing countries, which is used as a means of predicting future trends, controlling and guiding the growth of the city, organizing the future development of the city and eventually efficiently and purposefully managing the city. The main objective of this study is to identify the driving and shaping factors of the biophysical and socio-economic growth of Tehran metropolis. In order to achieve this goal, five main stages are taken into consideration, including the production of land use maps, land cover to study the land use spatial-temporal changes, land cover in Tehran and its surrounding areas using satellite images, identifying driving factors of urban growth using logistic regression, using a factor ecology approach to investigate the human factors effective on Tehran landscape, calculating spatial metrics for quantization of the structure and characteristics of the landscape pattern in Tehran metropolis using Fragstatas software and investigating the relationship between urban growth pattern and social areas using multivariate regression. The results indicate that the distance from the roads and the commercial center of Tehran in the period 2000 to 2014 is the most significant biophysical factor shaping the growth pattern of Tehran metropolis, and among the obtained five socioeconomic components, the population density and employment components have the most effect on urban growth pattern in Tehran metropolis. Manuscript profile
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  3 - Effects of Karoun Pipeline Transfer Projects on Creation or Expansion of Khouzestan Riverside Centers Using GIS & RS Technologies
  Atefeh Bosak Hourie Aarabi Moghaddam zahra hejazizadeh meysam toulabi nejad
  This study was carried out to investigate the impacts of Karoun water branches transference projects on creation or intensification of Khuzestan dust points. For this purpose, daily climatic parameters (temperature, precipitation, horizontal view, moist and wind) and re More

  This study was carried out to investigate the impacts of Karoun water branches transference projects on creation or intensification of Khuzestan dust points. For this purpose, daily climatic parameters (temperature, precipitation, horizontal view, moist and wind) and required water debit for 9 synoptic and hydrometric stations within a 30-year statistical period were collected. Missing data were recovered and sorted by using Matlab,Minitab and Excel software. Also satellite data and images were used to study vegetation, soil moist and dust particles conditions in the specific area. According to the greenhouse gas procedures during 1985 to 2015, the studied period was broken into two periods, one before global warming (1985-1995) and the other after intensification of global warming (1996-2015). Then by using statistical methods and remote sensing the mentioned periods were investigated. The results from investigating long term debit of Karoun river showed that there is 171 m3/s decrease in second statistical period than the first one. During the second period, local dust has increased in comparison with the first period but vegetation index (NVDI) has 13% decrease. Also the vastness and value of soil moist in east of basin have increasing trend and the role of dam construction is evidently influential. This trend has been decreasing around Shadegan wetland in west of basin, as the result, with passing flows over this area, because of adherence reduction, soil particles disserve from the ground and cause most of the dust in Khuzestan and Karoun riverbasin. Manuscript profile
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  4 - Evaluation of coastal geomorphologic change in northern coast of Persian Gulf from Kangan Port to Ziyarat Estuary using remote sensing and GIS
  hossein taghavi
  Coastal geomorphological changes in the short-term and long-term are observable in all coastal areas. The changes occur to reach the balance in this region. Aware of these changes is very important to geomorphologists, environmental planners to help them to solve coasta More

  Coastal geomorphological changes in the short-term and long-term are observable in all coastal areas. The changes occur to reach the balance in this region. Aware of these changes is very important to geomorphologists, environmental planners to help them to solve coastal problems. The purpose of this study is to assess the geomorphologic changes occurring in the region of coastal Bushehr Port Kangan place within the Ziarat estuary. In this study multi-temporal satellite images of Landsat were selected as the data base. The principal component analysis and fuzzy logic are used for monitoring and evaluating the geomorphological changes. Results of this research show that during the 21 year research period from 1986 to 2006 most important factor changing landforms and coastline in the region are changes water level of the Persian Gulf that cause to submerged about 46 square kilometers of the region's coastal zone land. The important part of this area is containing spits and low slope and delta. The result of this research can be used for infrastructure projects, port facilities, commercial and military activities. Manuscript profile
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  5 - The Evidence of multiple origin for calcareous springs in the Abe Ask region (Southeast of Damavand volcano) using isotopic data, water geochemistry and Remote Sensing studies.
  Somayeh Rahmani Safyeh Omidian nasibeh zarei
  There are several calcareous springs and travertine deposits on Southeast flanks of Damavand volcano in Abe Ask area (85 km northeast of Tehran, Central Alborz zone). In this study, based on carbon and oxygen isotopic signatures on travertine deposits, the source of s More

  There are several calcareous springs and travertine deposits on Southeast flanks of Damavand volcano in Abe Ask area (85 km northeast of Tehran, Central Alborz zone). In this study, based on carbon and oxygen isotopic signatures on travertine deposits, the source of spring water was evaluated. Isotopic signatures show that δ13C and δ18O values enrichment in travertines gradually away from the springs. According to the primitive value of δ13C(CO2), travertine was deposited from a hydrothermal metasomatic fluids. Concerning to the linear trend between the δ13C– δ18O of travertine, the main hydrothermal metasomatic fluid (that was responsible for travertine deposition) was probably mixed with fluids of different origins. According to the isotopic analysis, the mantle-sea origin is suggested for the dissolved CO2 of water springs, in addition, the results of water geochemical data also confirmed a deep source for the Abe Ask water springs. According to the remote sensing investigation on satellite images, the distribution of travertine and faults lineation and drainage pattern, suggest the strong effect of surface and tectonic processes, in controlling the placing and distribution of the travertine. Finally, geochemical data on water springs and isotope investigations on travertine reveal both surface and deep-water source contribution in formation of the Abe Ask water springs.   Manuscript profile
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  6 - The main effective factors on the mineralization of Sonajil porphyry-epithermal copper-gold deposit, using remote sensing, mineralogical and geochemical studies
  Mohammad Maanijou    
  In order to identify the main effective factors in the Sonajil Cu-Au porphyry-epithermal deposit, remote sensing, mineralogical and geochemical studies were carried on the deposit. After removing vegetation and topographic features by Normalized Difference Vegetation I More

  In order to identify the main effective factors in the Sonajil Cu-Au porphyry-epithermal deposit, remote sensing, mineralogical and geochemical studies were carried on the deposit. After removing vegetation and topographic features by Normalized Difference Vegetation Index (NDVI), solar radiance, instrumental errors and albedo effects by Log Residual (LR), Band Ratio (BR), False Color Composite (FCC), Principal Component Analysis (PCA) and Mixture-Tuned Matched-Filtering (MTMF) were used to reveal main alteration zones of the study area. The phyllic, advanced argillic and propylitic altered rocks were identified and the results were validated by field and mineralogical studies. Also, geochemical data showed microdiorite, and shoshonite composition and also post-orogenic tectonic setting of the Sonajil porphyry-copper deposits. Eventually, the faulting density, composition, and the depth of mineralization were the affecting factors on the Sonajil deposit mineralization. Manuscript profile
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  7 - studying of civil and moral responsibility in remote sensing
  Abolhassan  Mojtahed Soleimani Parviz  Ziaeian Firoozabadi Simin  Asadzadeh Talei
  Today, the introduction of legal and ethical arguments in the field of remote sensing, given the widespread use of this science in many areas, is very necessary. Additionally, in many cases, we need maps or information that is derived from remote sensing Judgments and j More

  Today, the introduction of legal and ethical arguments in the field of remote sensing, given the widespread use of this science in many areas, is very necessary. Additionally, in many cases, we need maps or information that is derived from remote sensing Judgments and judgments are issued on the basis of this information. We also mentioned the specific features of remote sensing. We found that in this system See ethics because of the diversity of people involved in it has been difficult in the field of legal liability based on fault, because the elements are selected and far in remote sensing, this theory more acceptable course have models set up key elements that determine the fault, the The prediction of a loss, the rationality of the injured person, and the power of bargaining against the involved. Manuscript profile
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  8 - Remote Sensing Image Registration based on a Geometrical Model Matching
  Zahra Hossein-Nejad Hamed Agahi Azar Mahmoodzadeh
  10.52547/jist.9.36.41
  Remote sensing image registration is the method of aligning two images from the same scene taken under different imaging circumstances containing different times, angles, or sensors. Scale-invariant feature transform (SIFT) is one of the most common matching methods pre More

  Remote sensing image registration is the method of aligning two images from the same scene taken under different imaging circumstances containing different times, angles, or sensors. Scale-invariant feature transform (SIFT) is one of the most common matching methods previously used in the remote sensing image registration. The defects of SIFT are the large number of mismatches and high execution time due to the high dimensions of classical SIFT descriptor. These drawbacks reduce the efficiency of the SIFT algorithm. To enhance the performance of the remote sensing image registration, this paper proposes an approach consisting of three different steps. At first, the keypoints of both reference and second images are extracted using SIFT algorithm. Then, to increase the speed of the algorithm and accuracy of the matching, the SIFT descriptor with the vector length of 64 is used for keypoints description. Finally, a new method has been proposed for the image matching. The proposed matching method is based on calculating the distances of keypoints and their transformed points. Simulation results of applying the proposed method to some standard databases demonstrated the superiority of this approach compared with some other existing methods, according to the root mean square error (RMSE), precision and running time criteria. Manuscript profile
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  9 - Spatio-Temporal Prediction of Vegetation Dynamics Based on Remote Sensing Data Using Deep Learning
  Elham Zangeneh H. Mashayekhi Saeed Gharachelo
  Understanding and analyzing spatial-temporal data changes is very important in various applications, including the protection and development of natural resources. In the past studies, Markov process and comparison-based methods were mainly used to predict the changes o More

  Understanding and analyzing spatial-temporal data changes is very important in various applications, including the protection and development of natural resources. In the past studies, Markov process and comparison-based methods were mainly used to predict the changes of vegetation indices, whose accuracy still needs improvement. Although time series analysis has been used to predict some indices, the method to extract these indices from remote sensing data and model their sequences with deep learning is rarely observed. In this article, a method for predicting changes in plant indices based on deep learning is presented. The research data includes Landsat satellite images from 2000 to 2018, related to four seasons in the north and east of Shahrood city in Semnan province. The time span of the extracted images makes it possible to predict changes in vegetation cover. Vegetation indices extracted from the data set are NDVI, SAVI and RVI. After performing atmospheric corrections on the images, the desired indicators are extracted and then the data is converted into a time series. Finally, the modeling of the sequence of these data is performed by the Short-Long-Term Memory (LSTM) network. The results of the experiments show that the deep network is able to predict future values with high accuracy. The amount of the model error without additional data is 0.03 for the NDVI index, 0.02 for the SAVI index, and 0.06 for the RVI index. Manuscript profile
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  10 - Using hyperion hyperpectral data and field spectrometry for identification of hydrocarbon leakagesvia VISA-SCM combined methodology and spatial data mining
  Mohammad حمزه علی درویش بلورانی سید کاظم  علوی پناه فروغ  بیک حسین نصیری
  The hydrocarbon seepages theory puts forward a cause and effect relation ship between the oil and gas reservoir s and the specific surface anomalies which are basically related to hydrocarbon leakages as well as their related alterations. Hence,the s More

  The hydrocarbon seepages theory puts forward a cause and effect relation ship between the oil and gas reservoir s and the specific surface anomalies which are basically related to hydrocarbon leakages as well as their related alterations. Hence,the spectral reflectance of the hydrocarbons and their linked mineral alterntions produce credible pieces of evidence for oil and gas ex ploration .Hyperion images of EO-1 satellite was used in this study for identifying the oil seepages and their relevant alterations. After collecting the required data,the images under went the needed preprocessing. In order to recognize the oil seepages, these corrected data along with field-sampled spectrometric ones were employed. Then, VISA and SCM combined model was applied to indirectly identify the hydrocarbon seepages . Moreover, two hydrocarbon indexes were developed for direct recognition of the hydrocarbon seeps using Hyperion images. The finding indicate that the two mentioned techniques are efficacious for the purpose of the study at hand Manuscript profile
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  11 - Investigating land use changes and trends of hydro morphological indicators on the area and volume of the Ovan Lake's water zone based on the time series of Landsat data
  Morteza Karimi Hadi Modabberi Babak Razdar
  10.61186/jert.46171.8.14.93
  One of the most important approaches to preserve and restore wetlands, is identifying environmental changes from past to present and developing an integrated management plan to control these changes and decision-making to provide solutions for improving the condition of More

  One of the most important approaches to preserve and restore wetlands, is identifying environmental changes from past to present and developing an integrated management plan to control these changes and decision-making to provide solutions for improving the condition of these valuable ecosystems. Ovan Lake, as one of the beautiful and touristic landscapes in the forbidden hunting area of Eastern Qazvin, has distinct mountain habitats and various species of wildlife. By employing remote sensing techniques for a 30-year period, the process of changes and land use in the hydrological unit leading to Ovan Lake were identified and the trend of their changes was obtained quantitatively in this research. Then, the effect of the related hydromorphological indicators on the area and volume of the lake was investigated. The results showed that, according to the Modified Normalized Difference Water Index (MNDWI), the average area of the lake water zone was 8.15 hectares over the past eight years and based on univariate regressions, its hydrological regime is mainly related to two important factors of precipitation and evaporation. According to the univariate regressions demonstrate a significant relationship between the lake's hydrological regime and precipitation/evaporation rates. The evaporation parameter also showed a logical trend during the statistical years, so that the area and volume of the water zone of the lake has decreased by the increase of evaporation from the free surface of the water. Also, the results of multivariate regression between lake water volume and rainfall and evaporation components showed that the lake volume is more correlated with rainfall. But in contrast, evaporation changes with a greater slope or rate. Manuscript profile
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  12 - 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