List of Articles Landsat satellite

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  1 - Investigating Capability and Evaluation of Spatial Temporal Variations in Yasuj in Urban Development
  Arezoo salamatnia seyed Ali jozi Saeed Malmasi roya nezakati mojgan zaeimdar
  10.22034/jest.2021.31370.3968
  Sustainable development is a kind of development that responds to the needs of the present generation, without threatening the future generation's capabilities in meeting their needs. So one of the most important steps to achieve sustainable development is to carry out More

  Sustainable development is a kind of development that responds to the needs of the present generation, without threatening the future generation's capabilities in meeting their needs. So one of the most important steps to achieve sustainable development is to carry out various environmental studies before implementing any development plan. Background and Purpose: In this study, with the aim of investigating capability and evaluation of spatial temporal variations in Yasuj, efforts have been made to implement weighted Linear Combination Technique in order to predict the capability of the region for urban development. Also satellite images were used to investigate the spatial temporal variation in Yasuj city. Analysis method: In order to investigate the amount of power and evaluation of temporal and spatial variation in urban development, the criteria and sub-criteria were determined based on experts' opinions and previous researches. Then the AHP technique assisted by 30 faculty members and experts was employed to paired comparison dimensions and criteria. After the paired comparison, the information layers were standardized in the Idrisi environment and in the GIS environment. Then the layers were combined to determine the land suitability for Urban development. Afterwards, in order to study the time-shift changes of land use in Yasuj city in the three periods of 1986, 2001, and 2016, Landsat satellite images, TM, ETM + and OLI sensors, which were prepared in the Envi 5.1 software environment, were used. Findings: Based on the land use change trends in the Yasuj area, residential or urban areas have undergone extensive changes that affected environment uses including forests, grassland, agriculture and aquatic structures. The forest, located inside and around the city of Yasuj, provides a lot of ecosystem services for the area, which by city development, these services have been reduced both quantitatively and qualitatively, which should be considered. Discussion and Conclusion: The results of this study can be used as a model for selecting suitable locations for urban development with respect to environmental considerations and results of this work shown that studies based on spatial data, especially on human settlements (due to their inherent nature) can be the basis for accurate planning. Manuscript profile
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  2 - Using satellite imagery and spectral data to estimate the amount of soil organic carbon in central Zagros forests in Khoozestan
  saeede esmizade ahmad landi hamidreza matinfar
  10.22034/jest.2020.35742.4259
  Background & Objective: Soil organic carbon (SOC) is one of the most important components of soil physical and chemical properties that prevented soil decay and destruction. The objective of the present study is the evaluation of SOC changes using the remote sensing More

  Background & Objective: Soil organic carbon (SOC) is one of the most important components of soil physical and chemical properties that prevented soil decay and destruction. The objective of the present study is the evaluation of SOC changes using the remote sensing technique compared with field methods at central Zagros forests in Khoozestan province in Iran over the past 2 decades. Material and Methodology:  The soil samples were collected randomly from the soil surface (0-10 cm depth) to estimate the SOC concentrations in the laboratory. Analysis of digital data by using Operational Land Imager (OLI) of satellite Landsat 8 and Enhanced Thematic Mapper (ETM+) sensor of satellite Landsat 7 images in 2016 (the sampling year) was done to estimate surface organic carbon levels of soil. The main objective was to establish soil organic carbon relation with landsat different bands ratios and also herbal and moisture indexes such as NDVI, SAVI, BSCI, NDMI and NSMI corresponding to the SOC values obtained from soil samples of the forest areas in the central Zagros mountain, and for that purpose these data were evaluated using different linear regression methods. Findings: The best fit model of stepwise regression method showed R2 value of 0.435 for landsat 8 and R2 value of 0.501 for landsat 7 and finally based on these results, evaluation of SOC changes occurred in previous years. Discussion and conclusion: Results show the significant relationship between soil organic carbon and the reflectance in the Visible, Near-Infrared and Short-wave Infrared part of the spectrum.   Manuscript profile
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  3 - Comparison of spatial resolution of LandSat and SPOT satellite images in measuring landscape fragmentation
  Ehsan Rahimi Abdol-Rasoul Salman Mahini Seyed Hamed Mir Karimi Hamid Reza Kamyab Sattar Soltanian
  Since the foundation of landscape ecology, the correlation between spatial patterns and ecological processes has always been regarded as one of key topics in this discipline. In this context, landscape metrics provide valuable information for the interpretation of lands More

  Since the foundation of landscape ecology, the correlation between spatial patterns and ecological processes has always been regarded as one of key topics in this discipline. In this context, landscape metrics provide valuable information for the interpretation of landscape patterns. It is clear that the scale of input data and the scale of analysis must be coherent in order to calculate and interpret landscape metrics correctly. One main method that is often used to assess the scaling effects on landscape pattern is to manipulate the grain size or pixel size in satellite images. In this study, The SPOT and LandSat satellite images of 1986 and 2010 and simulations and maps of Markov-cellular automata models of 2020 were used. The effects of spatial resolution on 8 metrics were evaluated using the software FRAGSTATS in class and landscape levels. The results showed that the changes in grain size have significant effects on landscape metrics and their changes in the future so that the increased grain size will lead to the deacreased number of patches (NP), patch density (PD), LSI and CONAG. In general, metrics showed two types of irregular and increase behaviors according to the reduced grain size; in this study, the changes in grain size are more sensitive than the other metrics. So, the application of these metrics in landscape studies shoulde be considerably paid attention. Manuscript profile
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  4 - Determination of land surface temperature using Landsat images (Case study: Bushehr coastal lands)
  Fazel Amiri Tayebeh Tabatabaie
  10.30495/girs.2022.695160
  Background and Objective Land surface temperature (LST) has become an important issue in the world today, as it affects the climate and environment at the local, regional and global levels, and these changes in land surface temperature are mainly caused by it arises fro More

  Background and Objective Land surface temperature (LST) has become an important issue in the world today, as it affects the climate and environment at the local, regional and global levels, and these changes in land surface temperature are mainly caused by it arises from urbanization, and human activities and extreme Landuse and Land-cover (LULC) changes. Due to the limitations of meteorological stations, remote sensing can be used as the basis of many meteorological data. One of the most important practical aspects of remote sensing in climate studies is the estimation of surface temperature. In this research, the temperature of the earth's surface between 1990 and 2018 was extracted from the images of TM and OLI sensors of the coastal lands of Bushehr, using the Stefan-Boltzmann method.Materials and Methods The land study area of Bushehr city, which is on the northern coast of the Persian Gulf, with dimensions of 20×8 km2 an area of 1011.5 km2 and with an average minimum temperature of 18.1oC and an average maximum temperature of 33 oC, relative humidity between 58-75% and the average annual rainfall is 272 mm, it’s located in the geographical location of 50°50' to 10°51 E longitude and 28°40' to 29°00' N latitude. The data used in this research include; Landsat 8 (OLI) data in 2018 and TM data in 1990, which were downloaded from the United States Geological Survey (USGS) data center (https://earth explorer.usgs.gov). In order to calculate the parameters related to temperature extraction, the meteorological data of the synoptic stations located in the studied area were used. After taking the images, due to the larger range of the images, the images were cut (Resized) and then the geometric correction of the images was done using topographic maps on a scale of 1/25000 and all the images were adjusted to the UTM coordinate system of the 39 N were adapted. In geometric correction, the RMS error of all images was less than 0.5 pixels. In order to compare the results of Stefan-Boltzmann method for extracting LST with ground data, thermal map data obtained was compared with soil temperature data (obtained from meteorological stations in the selected area). In order to evaluate the Stefan-Boltzmann method from ground data, the Mean Absolute Error (MAE) index statistical method was used.Results and Discussion The average minimum and maximum Land surface temperature (LST) extracted from the 1990 TM image was 26.5 and 45 °C, respectively, and for the 2018 OLI image, it was 30.1 and 48.6 °C, respectively. The results showed that the Mean Absolute Error (MAE) index values for TM and OLI sensors are to 7.1 and 5.6, respectively. The results of the research showed that the Stefan-Boltzmann method provided a reliable result in estimating the Land surface temperature.Conclusion This research aims to extract LST by Stefan-Boltzmann method. The results of this method were estimated using the Mean Absolute Error (MAE) statistical index for the study period (1990-2018). Applying the MAE on the produced thermal maps, it was found that the Stefan-Boltzmann method is suitable for future research in the fields of thermal remote sensing by observing the results of using the MAE index on thermal maps. Therefore, we conclude that the Stefan-Boltzmann method is suitable for estimating the surface temperature of the land in coastal areas. Finally, it is suggested that for quantitatively describing LST patterns a GIS/RS-based method, and methods such as spatial autocorrelation and semivariance are used. Manuscript profile
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  5 - Determination of urban surface temperature using landSat images (Case study: Karaj)
  Behrouz Ebrahimi Heravi Kazem Rangzan Hamidreza Riahi Bakhtiari Ayoub Taghizadeh
  Land surface temperature is a key indicator of energy balance. Besides, it serves as input data for models of climate change, agriculture, meteorology, urban heat islands, choosing the best time to agricultural activities, study of volcanic and geothermal activity, and More

  Land surface temperature is a key indicator of energy balance. Besides, it serves as input data for models of climate change, agriculture, meteorology, urban heat islands, choosing the best time to agricultural activities, study of volcanic and geothermal activity, and fire detection. In this study land surface temperature has been extracted by available methods using 4 images of TM and ETM+ sensors of Landsat in span years of 1985 to 2003. The methods of  land lurface temperature extraction included landsat project science office, mono window, SEBAL, Stefan-Boltzmann and single channel. Because of the multiplicity of methods and the number of images used in this study using a statistical method is required. It is required to determine the most efficient extraction method of land surface temperature, which is close to the existing field data. The statistical indicator used in this study was a mean absolute error (MAE). The results indicated that Stefan-Boltzmann method was the best method for both TM and ETM+ sensors. The MAE values for TM and ETM+ were 4.3 and 6.8 respectively, which showed a minimum value among other results. Manuscript profile
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  6 - Quality assessment and detection of forest area changes using satellite images (Case study: Rustam, Fars)
  Mahmoud Ahmadi Mehdi Narangifard
  This paper has been conducted to estimate the detection capability of LandSat satellite data for the detection and qualitative assessment of forest area and vegetation changes, land uses and vegetation percent in Rustam city. In this regard, using Landsat satellite imag More

  This paper has been conducted to estimate the detection capability of LandSat satellite data for the detection and qualitative assessment of forest area and vegetation changes, land uses and vegetation percent in Rustam city. In this regard, using Landsat satellite images (1987 and 2010), forest land use map, Normalized Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) were obtained by Maximum Likelihood and Supervised Classification algorithms. The results showed that the area of extracted layers of forests with high, moderate and low density as well as barren regions has been estimated as 48.78, 348.67 and 281.42 and 81.68 km2, respectively. Assessing the classification results indicated that the overall accuracy, producer accuracy and user accuracy were given as 94.3, 91 and 95%, respectively and also, Commission error and Ommission error have been computed as 0.09 and 0.05. The highest and lowest producer accuracy estimated as 99 and 80% was related to low-density and high density forests and the highest and lowest percent of user accuracy given as 100 and 87% was attributed to the barren and moderate density forest. Also, comparing maps of vegetation percent and Ratio Vegetation index during 1987 and 2010 has shown no significant changes. Manuscript profile
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  7 - Study of irrigation effect wastewater on soil salinity by using satellite image ( case study : Birjand treatment)
  سعید مرگان عباس خاشعی سیوکی علی شهیدی مصطفی یعقوب زاده
  A severe shortage of water resource in south Khorasan province caused, water resource managements use waste water for irrigation agriculture lands. Soil salinity is one of the pervasive phenomena in the word that due to its adverse effects on the growth of plants and th More

  A severe shortage of water resource in south Khorasan province caused, water resource managements use waste water for irrigation agriculture lands. Soil salinity is one of the pervasive phenomena in the word that due to its adverse effects on the growth of plants and the final product has become one of the main challenges in the field of natural resource management. In this study attempted to investigate effects of long-term irrigation with wastewater of Birjand refinery on soil salinity characteristic, taken effective step to inhibit this phenomenon and, more importantly, management and conservation of water resources. Since evaluating effects of irrigation with wastewater on soil salinity requires access to soil salinity information before and after constructing the refinery building, and we have no information about soil salinity in the past, so to finding out soil salinity information in the past year’s, the option of using satellite images was selected. For this purpose, satellite images of the study area were downloaded from USGS site, and using PCI-Geomatica software bands of Landsat satellite merged together to create one image that is prepared for studying. Because satellite image contains raw information and hard to interpretation alone, so using some soil salinity indices is required for reach this goal. With an assessment of correlation between gathered information from different soil salinity indices and actual EC amounts, it was found that SI-1 with root square equal to %84 have the most correlation with actual amounts of EC values. Then with making a meaningful relation between this salinity index and EC can achieve a comprehensive relationship to extract data related to soil salinity obtained from satellite images. Results of this study represented that irrigation with waste water generally have not devastating effects on soil salinity and in most cases caused decreasing about 3% to 5% of soil salinity in sampling points. Manuscript profile
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  8 - Identifying and reviewing the process of vegetation usage changes using time-based neural network and CA models using GIS and RS techniques (Case Study: Minoodasht County Golestan Province)
  صادق شکوری سید مسعود موسوی حسنی مهسا پورعطاکش آناهیتا قربانی سمیرا ارنک
  Monitoring land use change is important in many planning and urban management activities. Due to human activities and natural phenomena, the face of the earth always changes.Therefore, for optimal management of natural areas, awareness of the land use change ratio is co More

  Monitoring land use change is important in many planning and urban management activities. Due to human activities and natural phenomena, the face of the earth always changes.Therefore, for optimal management of natural areas, awareness of the land use change ratio is considered necessary. The purpose of this study was to evaluate and reveal land use changes, especially the use of vegetation cover in the Auchan region, from the functions of Minoodasht city of Golestan province in a 30-year time span using remote sensing and spatial information systems and MATLAB, ARCGIS and ENVI software.For this purpose, Landsat satellite ETM sensor was used from 1987, 1993, 1998, 2000, 2003, 2008, 2013, 2015, and 2017, and after making necessary corrections in the preprocessing stage, to monitor vegetation time changes, the index Vegetation cover (NDVI) was calculated in MATLAB software for each 9 time intervals.Then, by using the calculated images of the first 7 years and the model of the neural network (time series), the images of the eighth and ninth year were predicted and obtained, and then calculating the RMSE error between the output images of the model with the actualImages, the validation model it turned out the results show that the model with an average RMSE of about 0.13 was very good for the NDVI.The CA model was used to predict vegetation changes. The results show that the vegetation cover in the last two years, 2015 and 2017, has been upgraded by the neural network model and the study area has become greener Manuscript profile
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  9 - Modifications in Green Spaces of Kerman, Using Landsat Images Time Series (2000 - 2018)
  Hamid Soltaninejad Soroush Khalili Zahra Shahi Mohammad Taghi Razavian
  The explosion of the population and the development of cities in the last century have caused many problems, including the destruction of agricultural lands and green spaces, which is the subject of our discussion in this study. The city of Kerman has seen rapid growth More

  The explosion of the population and the development of cities in the last century have caused many problems, including the destruction of agricultural lands and green spaces, which is the subject of our discussion in this study. The city of Kerman has seen rapid growth in recent years in the city's physical development, with its direct reflection of the loss of green spaces in and around the city. With the help of Landsat images and comparison of land use maps, it is clear that this trend has been rising rapidly between 2000 and 2018. In this research, data gathering was done through field observations and use of Landsat satellite imagery. ENVI, ArcGIS and Google Earth softwares have been used for statistical and visual analyzes. On satellite images in the ENVI software, radiometric correction was performed using Radiometric Calibration, and then by FLAASH Atmospheric Correction, an atmospheric correction was performed to minimize the error. The results show that over the years, almost 11% have been reduced from the share of agricultural lands and wastelands and by contrast, the share of land that has been built has increased the same amount. Therefore, it is possible to make suggestions including the use of infill development for the conservation of agricultural lands, the completion of the green belt of Kerman city by the municipality, construction on the arid lands in the 2nd district of Kerman, preventing land speculation, and fully comply with the rules of comprehensive and detailed plans, especially on urban green spaces. Manuscript profile
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  10 - Assessing the relationship between the occurrence of drought and changes in the water area of Anzali Wetland using Landsat satellite images
  Kivan Asadi Parviz Rezaei Bahman Ramezani Gorabi
  Climate change is one of the greatest dangers facing human beings now and in future generations. The phenomenon of climate change has caused many changes in spatial patterns of rainfall and has led to an increase in marginal phenomena such as drought. It is also predict More

  Climate change is one of the greatest dangers facing human beings now and in future generations. The phenomenon of climate change has caused many changes in spatial patterns of rainfall and has led to an increase in marginal phenomena such as drought. It is also predicted that climate change will affect the frequency, severity and duration of drought. Drought occurs in all climates, even in humid and semi-humid climates, so wetlands, which are one of the most important habitats on Earth, are no exception. In this study, drought events in Anzali wetland and its relationship with changes in wetland area during the statistical period 1975-2016 have been investigated. Two SPI and RDI indices have been used to study drought. Landsat satellite imagery was used to determine the blue zone. The study of drought indices in Anzali wetland shows that the values ​​obtained by RDI index estimate drought with less intensity than the values ​​obtained by SPI index. The results also showed that the water area of ​​Anzali wetland has a decreasing trend during the years under study, which is completely consistent with the increasing trend of drought in terms of frequency and severity.  Manuscript profile