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List of Articles
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Open Access Article
1 - The effect of Meighan wetland environmental changes on land surface temperature of surrounding areas by using Landsat satellite data
Saeed Mahmoodi Behrouz Sari Saraf Majed Rezaei Banafsheh Hashem RostamzadeWetlands are one of the most important aquatic zones that affect the climate of the surrounding areas and are also one of the most fragile natural phenomena. Therefore, it is very important to detect changes in the environment around the wetlands. The purpose of this st MoreWetlands are one of the most important aquatic zones that affect the climate of the surrounding areas and are also one of the most fragile natural phenomena. Therefore, it is very important to detect changes in the environment around the wetlands. The purpose of this study, the land use change detection, the normalized vegetation index, land surface temperature patterns in the surrounding of the Meighan wetland, were analyzed using Landsat TM multi-time sensor data for 30 May 2002, and 5 June 2010. Supervised classification algorithms with maximum likelihood were used to extract land use changes. The results of classification accuracy, using the Kappa coefficient for 2002 and 2010 were 99.13% and 98.93% with 98 and 97 kappa coefficients, respectively. The results of land use changes showed that the barren lands increased by 100 km2 and, in contrast, vegetation areas were reduced by 84 km2. The average of the normalized vegetation index was not significantly changed and the maximum and minimum values in 2002 were 0 and -0.52, and in 2010, -0.05 and -0.58, respectively. The warmer temperature classes in the regional temperature pattern in 2010 were more extensive than in 2002. The minimum, average and maximum temperature in 10 km of surrounding of Meighan wetland in 2002 were 16.72, 27.35 and 36.4°C with a standard deviation of 3.2, and in 2010, 15.5, 29.8 and 37°C with a standard deviation of 3.5. Manuscript profile -
Open Access Article
2 - Geospatial modeling of land subsidence in the south of the Minab watershed using remote sensing and GIS
Abdolkhalegh Arvin Ghorban Vahabzadeh Seyed Ramazan Mousavi Masoud Bakhtyari KiaMinab plain in Hormozgan province has experienced population growth with agricultural development in recent decades. Low rainfall in recent years, successive droughts, and limited surface water resources, irregular irrigation practices in the agricultural sector in the MoreMinab plain in Hormozgan province has experienced population growth with agricultural development in recent decades. Low rainfall in recent years, successive droughts, and limited surface water resources, irregular irrigation practices in the agricultural sector in the study area, along with inappropriate cultivation patterns, have caused the extraction of water wells in the region. The extraction of these wells and groundwater resources has led to an imbalance in the aquifer in the area and a decline in groundwater levels. The consequences of this trend have caused the creation and expansion of subsidence in the region. This research, by investigating radar, satellite images and using differential radial interferometry, has been used to detect and determine the amount of subsidence in order to investigate the extent of this phenomenon in the study area. In this study, data from the Sentinel-1 refer to the dates 2014 and 2018 were used. The results showed it had 13-centimeter subsidence in the study period. After verifying the results by control points (in September 2018), in order to find the relationship of subsidence with changes in groundwater level, elevation, and slope, a spatial analysis was performed and the correlation of each of these factors with subsidence event density was calculated. Spatial autocorrelation analysis and Moran's index showed that climatic event due to water level changes in the study area was 0.925. The values of 1.89 and 0.06 for standard normal distribution (z) and the p_value respectively, confirm a strong autocorrelation between the studied factors. Manuscript profile -
Open Access Article
3 - An investigation of the relationship between land surface temperatures, geographical and environmental characteristics, and biophysical indices from Landsat images
Abbasali Vali Abolfazl Ranjbar Marzieh Mokarram Farideh TaripanahLand surface temperature (LST) is an important indicator of habitat quality assessment for a local and global scale. In the present study, the effects of multiple factors on land use, geological formations, topographical and climate factors on LST in Kharestan region we MoreLand surface temperature (LST) is an important indicator of habitat quality assessment for a local and global scale. In the present study, the effects of multiple factors on land use, geological formations, topographical and climate factors on LST in Kharestan region were investigated. To this end, images of July Landsat 7 and 8 satellites during the period 2000-2017, digital elevation model, geological map and topography were used. The surface temperature was extracted using a split-window method and also land use extracted from the supervised classification method which has been done in 2017. The correlation between surface temperature and elevation, aspect, slope, vegetation, soil moisture, and air temperature variables was investigated using statistical methods. The results indicated that the surface temperature average was 43 °C, Normalized difference vegetation index (NDVI) was 0.144 and Normalized difference moisture index (NDMI) was 0.068. According to the classification of images with an overall accuracy of 99.96% and kappa coefficients of 0.96, pasture and horticultural land cover the highest and lowest area, respectively. The highest surface temperature, 53 °C was observed in bare soil and residential areas and the lowest 29 °C in horticultural land. Moreover, the highest and lowest surface temperatures were related to Pabdeh-Gurpi and Asmari formations, respectively. In sunny slopes, the highest correlation, R2>0.5 was observed between surface temperature, elevation, temperature, vegetation, and surface moisture. Furthermore, in shady slopes, the surface temperature had the highest correlation, R2>0.5 with elevation, temperature, and vegetation. Among the above factors, elevation and temperature had the most influence on surface temperature. In addition, the correlation between vegetation index and a normalized moisture index with inverse surface temperature was >0.9. Also, the correlation between surface temperature and the air temperature was positive. Therefore, land use, geology, topography, vegetation, soil moisture, and air temperature are important factors in ecosystem temperature equilibrium. Manuscript profile -
Open Access Article
4 - Flood zoning and its impact on land use in the surrounding area using unmanned aerial vehicles (UAV) images and GIS
Khalil Valizadeh Kamran Reza Delire Hasannia Khadije Azari AmghaniIdentification of flood zones is a basic step in flood risk management, and flood risk zoning provides a quantitative measure of flood risk, thereby enabling appropriate alerts to be provided in times of flood risk and facilitating rescue operations. The purpose of this MoreIdentification of flood zones is a basic step in flood risk management, and flood risk zoning provides a quantitative measure of flood risk, thereby enabling appropriate alerts to be provided in times of flood risk and facilitating rescue operations. The purpose of this study was to determine flood zoning using unmanned aerial vehicles (UAV) images and its impact on land use in the Lighvan river area, under the Ajai Chai Basin, southeast of Tabriz in East Azarbaijan province. The digital elevation model (DEM) with 70 cm accuracy was used for flood zoning. After converting the DEM to TIN for pre-processing, data were entered into HEC-GeoRAS software. And with TIN, three-dimensional UAV images were obtained and the height of profiles specified and hydraulic depth of the river extracted. After the pre-processing, the results entered in HEC-RAS software, so after the completion of flow specification and hydraulic data and entering capacity of flood discharges in return periods of 2, 5, 10, 25, 50, 100 and 200 years, flow model and water surface profile with return period obtained. Then the flood zones were combined with the land use map. The results showed that as the increase of return period the capacity increases too; flood zones increase, So that during the return period of 2, 5, 10, 25, 50,100 and 200 years 6.24, 6.31, 6.75, 7.80, 9.69, 10.36 and 11.44 hectares, respectively, were covered by flood cover and It was also found that floods, gardens, barren lands, and residential areas were more affected by floods, respectively. Manuscript profile -
Open Access Article
5 - Change detection of land use /land cover using object oriented classification of satellite images (Case study: Ghare Sou basin, Ardabil province)
Behrooz Khodabandehlou Hassan Khavarian Nehzak Ardavan GhorbaniThe accuracy of land use changes map obtained from remote sensing data depends on the accuracy of each of the land use maps during the time period studied. In this study, TM and OLI images in 1989 and 2018 and an object-oriented classification method were used to invest MoreThe accuracy of land use changes map obtained from remote sensing data depends on the accuracy of each of the land use maps during the time period studied. In this study, TM and OLI images in 1989 and 2018 and an object-oriented classification method were used to investigate the land use/ land cover change trends with an emphasis on agricultural land use in the Ghare Sou basin. After the pre-processing, the object-oriented processing using the multiresolution segmentation method was applied. In addition to the spectral bands, some additional information such as a normalized difference vegetation index (NDVI), band means, the standard deviation of bands and geometry characteristics were used to extract land use in order to obtain more accurate results. Of these non-spectral data used, 15 characteristics were selected by Feature space optimization (FSO) method to be used in the nearest neighborhood algorithm. The kappa coefficient of the land use maps for 1989 and 2018 was 85% and 96%, respectively, indicating the reliability of the object-oriented classification results. In the next step, the map of the changes was produced comparing the classified maps. According to the results of the change detection, the agricultural land use during the studied period has an increase of 73849 hectares, mainly due to the destruction of rangelands and its conversion to the agricultural land. Manuscript profile -
Open Access Article
6 - Land subsidence susceptibility modeling using random forest approach (Case study: Tasuj plane catchment)
Davoud Mokhtari Hamid Ebrahimy Saeed SalmaniLand subsidence occurrence in the Tasuj plane might become more frequent and hazardous in the near future due to its relationship with the water crisis and drought periods. In order to mitigate the damage caused by land subsidence, it is necessary to determine the susce MoreLand subsidence occurrence in the Tasuj plane might become more frequent and hazardous in the near future due to its relationship with the water crisis and drought periods. In order to mitigate the damage caused by land subsidence, it is necessary to determine the susceptible or prone areas. The purpose of this study is to produce land subsidence susceptibility map based on the random forest approach to land subsidence occurrence data and eleven environmental variables that have significant influence on land subsidence occurrences (altitude, slope, aspect, distance to drainage line, drainage density, distance from the fault, topographic wetness index, land cover, lithology, groundwater level and decline in groundwater level) were used as inputs of the random forest model. The random forest approach was applied to produce the land subsidence susceptibility map. The performance of the model was assessed using the receiver operating characteristics (ROC) curve and the area under the curve (AUC). The model results indicate the accuracy of 0.86. Based on the result of the mean decrease accuracy method, the most important conditioning factors were groundwater level, distance from the fault, and a decline in groundwater level, respectively. According to the result, about 18% and 11% of the study area was located within high to very high susceptibility classes. The result of this study can be used by stakeholders and local authorities to mitigate related hazards of land subsidence occurrences in the study area. Manuscript profile -
Open Access Article
7 - Using canopy height model derived from UAV images to tree height estimation in Sisangan forest
Mohammad Reza Kargar Hormoz SohrabiRecent advances in unmanned aerial vehicles (UAVs) technology, as well as the development of lightweight sensors, offers a great possibility for the measurement of different tree features with relatively low costs compared to traditional methods. In this research, MoreRecent advances in unmanned aerial vehicles (UAVs) technology, as well as the development of lightweight sensors, offers a great possibility for the measurement of different tree features with relatively low costs compared to traditional methods. In this research, the precision and accuracy of tree height measurement and estimation using imagery by a low-cost UAV were studied. For this aim, 854 images with an altitude of 100 m above the ground were taken and the images were processed and dense point cloud was extracted by applying Structure from Motion (SFM) algorithm. The study was conducted in 34.79 ha of Sisangan forest park and 28 sample plots (30 × 30 m) were located in the field and tree heights were measured. Also, tree height was measured using the canopy height model. Linear regression was applied to estimate the actual tree heights based on CHM derived tree eights. The accuracy and precision of the estimates were assessed using relative bias and relative root mean square error. The differences between the field measured and CHM derived tree heights were statistically significant. Based on the results, the relative root means the square error of the height estimation of Buxus hyrcana, Carpinus betulus, Parrotia persica, and other species was 20.39, 20.39, 20.57 and 20.52 percent, respectively. The results showed that tree height measurement based on UAV images and methods that were applied in this research, is biased and the estimations are highly uncertain. Manuscript profile
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