Remote sensing (RS)

Open Access Article

1 - Identification and differentiating of geomorphology facies of Sabzevar region using Remote sensing and GIS
Esmaeil Silakhori Majid Ownegh

Geomorphological landscapes are the foundations of natural resources investigations of the watersheds. Because these landscapes are affected by many factors such as climate, soil, hydrology, ecology, geology and so on. In this survey, Sabzevar region with diverse geomor More

Geomorphological landscapes are the foundations of natural resources investigations of the watersheds. Because these landscapes are affected by many factors such as climate, soil, hydrology, ecology, geology and so on. In this survey, Sabzevar region with diverse geomorphological processes from mountain to play is selected in order to be identified and classified using RS and GIS. For this purpose, a combination of both overlaying and photomorphic units visual interpretation methods was used. In the overlaying method, slope, elevation and geological maps were prepared and classified. In visual interpretation, the TM 5 sensor satellite images were used. After preprocessing of images, the PCA, OIF index, FCC, HS, NDVI index techniques was used to separate photomorphic units with the aid of the Google Earth. Finally, 4 units, 10 types, and 96 facies (in 261 replications) were separated. Statistical analysis using Chi-square test showed that there was a significant difference at the 99% level among the area of desertification units, types, and facies the confirming suitable spatial separation of the area. Pediment unit (50.97%), lower pediment type (25.97%) and alluvial fan facies with tunnel erosion (375.43ha) had the highest spatial distribution in Sabzevar region. Finally, it can be concluded that the overlaying method is not suitable for deserts and using a combination of visual interpretation method can fix this defect and increase the accuracy of the output map. The mentioned map can be used for development and implementation of land capability, natural resources and combating desertification projects. Manuscript profile

Open Access Article

2 - Study of heavy metals concentration Copper, Zinc and Arsenic soil using RS and GIS techniques (Case study: Kaboudarahang, Razan and Khonjin- Talkhab catchment in Hamedan province)
Loghman Khodakarami Alireza Soffianian Elahe Mohamadi Towfigh Noorollah Mirghafari

In this study, we investigated the effect of agricultural land concentrations of heavy metals including Copper, Arsenic and Zinc and mapping of soil contamination potential the elements in the areas studied using the collected data, GIS, Geo-statistics and remote sensin More

In this study, we investigated the effect of agricultural land concentrations of heavy metals including Copper, Arsenic and Zinc and mapping of soil contamination potential the elements in the areas studied using the collected data, GIS, Geo-statistics and remote sensing were conducted. First, using 135 surface soils (0-20cm) classified random systematic sampling in the region area 7262 square kilometers were collected and total element concentrations, soil characteristics, including the pH and organic matters were measured. Interpolation for heavy metals concentrations were done by geo-statistics methods, and assisting location correlation analysis, interpolation suitable method was chosen using MAE and MBE function. For heavy metals concentration maps, Copper and Zinc, we used Ordinary Kriging and exponential model and for Arsenic Ordinary Kriging and Spherical models. For analyzing the metal's concentration distribution maps of pollution time series satellite images were used.  For this purpose, five time series of satellite images of IRSP6 sensor Awifs (6 March, 3 April, 27 April, 9 June, 18 July and 16 August) were prepared. Using conventional classification methods and advanced satellite imagery maps of Land Use in 2009 was prepared. Finally fuzzy classification method map due to having the higher kappa coefficient as a final land use map was selected. Site analysis of studied heavy metal interpolation maps assisted by GIS and remote sensing assistive showed that Copper and Zinc have geological and agricultural origins. And Arsenic has originated from bedrock, but agricultural activities according to excessive consumption of chemical fertilizers can increase most of these elements in soil. Manuscript profile

Open Access Article

3 - Using Remote Sensing to determination of relationship between vegetation indices and vegetation percentage (case study: Darab plain in Fars province, Iran)
marzieh mokarram Alireza Mahmudi

Vegetation Indices (VIs) obtained from remote sensing (RS) based canopies are quitesimple and effective algorithms for quantitative and qualitative evaluations ofvegetation cover, vigor, and growth dynamics, among other applications .In the studyfor modeling and estimat More

Vegetation Indices (VIs) obtained from remote sensing (RS) based canopies are quitesimple and effective algorithms for quantitative and qualitative evaluations ofvegetation cover, vigor, and growth dynamics, among other applications .In the studyfor modeling and estimated of density and percentage vegetation value of ArtemisiaHerba alba was used Green Difference Vegetation Index (GDVI), NormalizedDifference Vegetation Index (NDVI), Optimized Soil Adjusted Vegetation Index(OSAVI), Soil Adjusted Vegetation Index (SAVI) by Landsat 8 ETM+ bandsvegetation in the Fathabad of Darab plain, Iran in 2015 years. By software ENVIpreprocessing, processing, geometric and atmospheric corrections were performed,and then vegetation index for the study area was calculated. Also ArcGIS 10.2software for mapping of area vegetation was applied. Then relationship betweenVegetation Indices and density and vegetation value of Artemisia herba alba wasdetermined. The results show that with increasing of percentage and density ofvegetation, the value of vegetation indices increase. Finally, in order to determinationof suitable elevation of growing of Artemisia herba alba was determined relationshipbetween elevation and percentage of vegetation. The results show that the bestelevation for growing of Artemisia herba alba was 1767 to 1782. Manuscript profile

Open Access Article

4 - Explaining the Relationship between Thermal Islands and a Number of Morphological Factors of the City Using Remote Sensing and GIS (Case Study: Ahvaz)
Elaheh Azimi Reza Akbari Mohsen Armin

In this research, land use map was prepared by maximum likelihood method in 8 areas of Ahvaz city and altitude and slope maps were prepared. To evaluate the classification accuracy of the land use map, the error of the classified image was compared with a reference imag More

In this research, land use map was prepared by maximum likelihood method in 8 areas of Ahvaz city and altitude and slope maps were prepared. To evaluate the classification accuracy of the land use map, the error of the classified image was compared with a reference image containing a number of ground control points. The map of urban thermal islands was prepared using a separate window algorithm on the Landsat 8 satellite data set in the ENVI software environment. The results showed that the prepared land use map has an kappa coefficient of 86% and good accuracy and credit. The relationship between land use and thermal islands, the results indicate that the eight cities of Ahvaz with an average temperature of 43.3 and the fourth region with an average temperature of 32.6 had the highest and lowest temperatures, respectively. By comparing the percentage of land use classes in the eight and four districts of Ahvaz, it can be said that industrial land use will increase the average temperature of urban areas and space land use will reduce the average temperature of urban areas. Areas with a slope of zero to 1.5 percent have an average temperature of 34 degrees and areas with a slope of 10 to 37 percent have an average temperature of 41 degrees Celsius. In urban areas with altitudes below sea level and urban areas with an altitude of 64 to 80 meters above sea level, the average temperature is 34 and 41 degrees Celsius, respectively. Manuscript profile

Open Access Article

5 - Detection of lakes changes trends with using geography information system (GIS) and Remote sensing (Rs).case study: tectonically Zarivar Lake
Mousa Abedini Afshin Sotoudehpour

Changes Detection with using remote sensing data in recent years has been the attention of many researchers. The aim of this study was to physical changes Detection of lake ،over a period of 57 year using satellite images and topographical the causes of the change. Afte More

Changes Detection with using remote sensing data in recent years has been the attention of many researchers. The aim of this study was to physical changes Detection of lake ،over a period of 57 year using satellite images and topographical the causes of the change. After processing the satellite image were analyzed changes.it was that from1335 to 1392 agriculture lands decline significant and forest lands increased indicant. Wetlands by increasing the extant cause are declining extent of the Lake. in the other words،the change detection in 3 time period: 1335 and (1381) 2002،(1392) 2013 are representative decrease lake from 1297 hectare in year 1335 to 882 hectare in year (1392) 2013 .the following  was implicated to analysis important factors including influence decline rain fall using irregular in water sources، drilling legal and illegal wells، increase surface evaporation and to prevent further reduce the extent of like and water ways offer . Manuscript profile

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