Original Article
Remote sensing and Gis
maryam sadeghi; HOOMAN Moradpour; MAHDI BABAIE; Hosain Fathian
Abstract
Fires, in the forests and parks become causative to fall away to natural resources largeness of locale sector Kohgiluyeh and Boyer-Ahmad forests. The purpose of this research is, Forest fire risk zone mapping using utilization from of topography criteria and sub criteria (slope, distance from the ...
Read More
Fires, in the forests and parks become causative to fall away to natural resources largeness of locale sector Kohgiluyeh and Boyer-Ahmad forests. The purpose of this research is, Forest fire risk zone mapping using utilization from of topography criteria and sub criteria (slope, distance from the river, height, direction of inclination), Physical (type of vegetation, vegetation density, soil moisture), human (distance from roads, distance from the village), and climate (average annual temperature, precipitation, relative humidity, and windiness direction), that criterions connection became distinctive relationship between criteria Fuzzy DEMATEL technique. Network analysis process, was used to weighting all parameters in Super Decision software. by fuzzy logic method, maps is fuzzed, and in the GIS environment getting Forest fire risk zone final mapping. results of this study expressing that among of the criteria, was the topographic criteria (0.423) and the between sub-criteria's t slope map is high weight and human criteria, biological and climatic getting from right to left value of%0.257, %0.194 and%0.124. the percentage area classification mapping forest fire potential by Boolean operator for is in series, PRODUCT PROCESSOR value of 5%, AND 35.68%, Gamma 34.82%, and SUM 34.84%. Too model FIRE RISK using images Landsat 8, digital elevation model, slope and windiness direction provide for the region. Fire classification map was prepared using fire point data for 4 years (93-96).Comparing its results with the results of the FUZZY ANP model and FIRE RISK indicates a high degree of compliance in areas with high fire risk.
Original Article
Remote sensing and Gis
hooshang seifi; Khalil Valizadeh_Kamran; Mehdi Babaei; Ansieh SHahabi
Abstract
Accordingly, the study of land use change, given the significant effects that this phenomenon has on human life and the environment, seems necessary. At present, remote sensing as an ideal resource provides users with the necessary and sufficient facilities to be aware of land use changes and human land ...
Read More
Accordingly, the study of land use change, given the significant effects that this phenomenon has on human life and the environment, seems necessary. At present, remote sensing as an ideal resource provides users with the necessary and sufficient facilities to be aware of land use changes and human land use, by extracting and updating land cover maps. Accordingly, the present study was conducted to investigate land use changes by object-oriented classification in the Quchan-Shirvan catchment, located between the provinces of North Khorasan and Khorasan Razavi during the years 1998 to 1397. For this purpose, first, TM and OLI images of Landsat 5 and 8 satellites have been prepared for the desired years, and through these images, land cover maps of the study area with object-oriented classification method in six classes of residential areas, irrigated lands. , Rainfed lands, fallow lands, water levels and pastures were obtained. Finally, through land use maps, land cover changes during the studied years in terms of area quantity, spatial distribution and trend of changes were examined using the LCM model. The results of this study showed that during the study period, fallow and rainfed land uses have a decreasing trend and residential uses, irrigated lands, rangelands and water levels have an increasing trend; As the most changes related to rainfed land use decreased by 23,729 hectares, and pasture land use increased by 35,935 hectares, are among the major changes in the study area.
Original Article
Remote sensing and Gis
Jafar Jafarzadeh; Seyed Mohammad Hassanitabar
Abstract
Surface temperature, including soil, water, snow, and vegetation, are among the variables used in a wide range of earth science and environmental studies. Ground surface temperature is usually monitored at a point in a limited number of points, which are usually measuring stations. When spatial distribution ...
Read More
Surface temperature, including soil, water, snow, and vegetation, are among the variables used in a wide range of earth science and environmental studies. Ground surface temperature is usually monitored at a point in a limited number of points, which are usually measuring stations. When spatial distribution of surface temperature over a wide area and simultaneously is required, remote sensing technology has many capabilities. Due to the capability of remote sensing techniques in the study of physical properties of the earth, in this study, to evaluate the relationship between surface temperature and land use, using the Landsat8-TIRS image, the surface temperature was calculated using the Split Window method. And the land use pattern was extracted by object-oriented classification method in an area of 22218.33 square kilometers, located in northwestern Iran. The results show that the surface temperature is strongly affected by surface moisture and vegetation density, so that surfaces with low humidity and low density vegetation show the highest temperature on thermal images. In the study area, barren lands with a temperature of 33.9 ° C and water levels such as; The lakes behind the reservoir dam, with a temperature of 27.11 ° C, have the highest and lowest surface temperatures, respectively, among the existing land uses. The results of this research can be used for environmental planning.
Original Article
Remote sensing and Gis
Hassan Emami; Arash Rahmanizadeh
Abstract
In this research, a synthesis approach to estimating Land surface emssivity (LSE) using remote sensing data and a spectral library that can be used to any optical sensor is proposed. The suggested method not only estimates the LSE as a function of the reflection of various surface effects, but it also ...
Read More
In this research, a synthesis approach to estimating Land surface emssivity (LSE) using remote sensing data and a spectral library that can be used to any optical sensor is proposed. The suggested method not only estimates the LSE as a function of the reflection of various surface effects, but it also takes into account the spectral response functions (SRF) of the thermal and reflective bands when calculating the LSE. The suggested approach was applied to a Landsat 8 imagery, and the resulting LSE was compared to and verified using two LSE products from the ASTER. The findings indicated that the LSE from the proposed methodology in Landsat 8 thermal band 10 has a root-mean-square error of 0.76 % and 0.75 %, respectively, when compared to the equivalent LSE product of the first and second ASTER Images. This error was also calculated in the 11 thermal band, with values of 1.49 and 1.06 %, respectively. This error was also calculated in the 11 thermal band, with values of 1.49 and 1.06 %, respectively. The results of this study compute the surface emissivity as a function of the reflectance of the reflective bands, and each pixel associated with that reflectance has a unique emissivity value that differs from that of nearby pixels. The prior technique, on the other hand, assigned a constant emissivity coefficient to the value of the group of pixels, and the surface emissivity was computed as a constant discrete value in each part of the image.
Original Article
Remote sensing and Gis
Masoumeh Akbarpour; Akbar Asgari Zamni
Abstract
The main goal of present research is the study of correlation of social security with Urban Designing indexes in old and modern Urmia texture. In this city, various Urban Designing and presence of different ethics make the importance of security more dominant and in this regard, the quality of buildings, ...
Read More
The main goal of present research is the study of correlation of social security with Urban Designing indexes in old and modern Urmia texture. In this city, various Urban Designing and presence of different ethics make the importance of security more dominant and in this regard, the quality of buildings, population, the number of floors, and also the domain in which the crimes have recorded by police were considered as criteria. In this study, the data of crimes offered by the police and also the data of city were used. All the pre-processing data and standardization of criteria is done by GIS in order to do the Spatial analysis. At the end, by using MCDM and SUPER DCISION software weight of any criteria was determined and by utilizing weights in standard GIS maps, and finally blending weighted fuzzy maps with AND operator, the security map of the city was provided. The result of the study was compared with crime scattering map which based on the results by developing modern texture social security has increased and police region 13, with an old texture in the central part of the city has the least security.
Original Article
Remote sensing and Gis
Jafar Jafarzadeh
Abstract
The life and development of human societies requires energy production and consumption, the need to pay attention to the environment and the fatalities of fossil fuels for energy production has focused on the use of energy from renewable energy sources. New energies are important because they are a good ...
Read More
The life and development of human societies requires energy production and consumption, the need to pay attention to the environment and the fatalities of fossil fuels for energy production has focused on the use of energy from renewable energy sources. New energies are important because they are a good alternative to fossil fuels. Fossil fuels cause environmental pollution and air pollution. Geothermal plants, on the other hand, also have environmental impacts on vegetation around the power plants. In this research, various vegetation indices have been used to investigate the potential damaging effects of Meshkinshahr geothermal power plant on vegetation around the site of the power plant. Investigations using Landsat 7 and 8 satellite images and ETM + and OLI sensors from the target area and extracting the SAVI index in two periods of 2000 and 2017 showed that the vegetation index of the areas around the site of the power plant Geothermal has dropped to 6.68 square kilometers. Residential, soil and water areas also increased 53.69, 14.26 and 0/255% respectively. Comparison of two classified images showed that the lagoon class in 2000 had an area equal to 11.18 km2, down from 95.91 km2 in 2017. In addition, the class of residential areas in 2000 has an area of 95.74 km2, in 2017, it is up to 120.41 km2, the soil class ranges from 219.59 km2 to 405.82 km2 and the water class ranges from 0.43 to 0.69 km2 has risen.
Original Article
Remote sensing and Gis
hamed bahrehvar; akbar asgharizamani; bakhtiyar feizizadeh
Abstract
Earthquake is a natural phenomenon that seriously threatens urban communities, in the meantime, the city of Tabriz or its location in the country's earthquake-prone belt has attracted more attention from urban planners. This research examines the physical-environmental resilience of Tabriz city ...
Read More
Earthquake is a natural phenomenon that seriously threatens urban communities, in the meantime, the city of Tabriz or its location in the country's earthquake-prone belt has attracted more attention from urban planners. This research examines the physical-environmental resilience of Tabriz city in the face of an earthquake using the FAHP method, so that by obtaining information, useful measures can be taken in the face of an earthquake and the effects of damage and possible casualties can be reduced with preventive measures. The components used in this research are the environmental and physical components, which are stratified in the GIS environment based on the results of the spatial analysis process and the combination of decision-making models with the integration of effective layers in resilience, as well as extracting The overall resilience map of the studied area has been studied, and based on the results of the analysis, it has been determined that 6832.18 hectares of the total areas of Tabriz have a high resilience level, 11546.88 hectares have a relatively high resilience level, 2473.53 hectares have a relatively low resilience level, and 1904.63 hectares have a relatively low resilience level. 1102.39 hectares have low resilience and 1102.39 hectares have very low resilience. The vulnerability and lack of resilience of the ten regions are as follows: the regions with low resilience are 4, 10, 3, 1 respectively. , 2, 5, 7, 8, 6, 9.
Keywords: resilience, earthquake, FAHP, GIS, Tabriz
Original Article
Remote sensing and Gis
Abolfazl Ghanbari; Khalil Valizadeh_Kamran; Ali Mohammad Fazel
Abstract
Land use and land cover change (LULCC) have been among the most important perceptible changes taking place around us Furthermore, since most of the LULCCs are directly influenced by human activities, they rarely follow standard ecological theories. Satellite-based Remote Sensing, by virtue of its ability ...
Read More
Land use and land cover change (LULCC) have been among the most important perceptible changes taking place around us Furthermore, since most of the LULCCs are directly influenced by human activities, they rarely follow standard ecological theories. Satellite-based Remote Sensing, by virtue of its ability to provide synoptic information of land use/cover at a particular time and location, has revolutionized the study of land use and land cover change. The use of Geoinformatics has enabled us to assign spatial connotations to LULCC, namely, population pressure, climate, terrain, etc which drive these changes. This has helped scientists to quantify these tools and to predict various scenarios. The purpose of this paper is to detect and evaluate land changes of Khanaqin urban area over 20 years using remote sensing techniques and Landsat dataset for years 2000, 2010, and 2020. For this purpose, supervised classification algorithm and maximum likelihood method has been used. Results indicated that Water bodies, Built-up area, and Vegetation areas increased in the last 20 years while Barren lands, and Agricultural mixed lands had decreased. These changes are largely related to climatic, political, and social factors as well as urban and rural population dynamics. According to the results obtained, this research can be useful in the field of regional and environmental management in the city of Khanaqin and in the field of urban planning and management and research decisions in this region can be used.
