مقالات رزومه مهندس شهروز منصوری

Surface temperature is an important management parameter at the time of planning in various environmental sciences including natural resources. But the uneven distribution and small number of terrestrial data stations is the incentive of using remote sensing data. The purpose of the present study was to investigate the emission correction method of vegetation and soil cover using the NDVI index on OLI and TIRS Landsat 8 satellite imagery. Data were taken in September 2018 in Golestan province. The results showed that NDVI and LST were inversely correlated with -0/96, with vegetation values ​​of R2 = 0/87 which can be used to obtain ground surface temperature. Also, the difference in determination of the maximum temperature obtained from the image, or LST calculated, is 2/9 ° C higher than the maximum data recorded in the synoptic and climatological ground stations in the region.

Water as one of the most basic needs of our present life and the extent of our use in drinking, agriculture, industry, economic, social, and political-security politics make us to identify with minimal cost savings and time characteristics of the watersheds, rivers and water levels by various methods, including the use of satellite imagery. The purpose of this research was to evaluate the methods of detecting zones, water levels and rivers with indicators; Normalized difference vegetation index, Enhanced vegetation index, Soli  adjusted  vegetation index, Normalized difference water index, Modified normalized difference water index, Automated water extraction index, Automated water extraction index and Unsupervised IsoClusterc and supervised Maximum likelihood classification methods to identification waters basin and the Optimum factor index for identifying the quality of water in terms of salinity, as well as determination infiltrate tabs water entering the larger zones in the part of the basins of the Karun river, Jarahi-Zohreh in the southern province of Khuzestan, with Landsat-8 satellite Land Earth Observations sensor. The results of the study showed that the automatic indicators of the extraction of water in shadow and urban areas are more effective than other indicators because of the consideration of short-range infrared wavelengths in water identification. With the results of the Supervised classification method, they were Maximum likelihood to the Kappa coefficient of the same 94% and the same performance. The results of the Optimum factor Index indicator for the detection of salinity water and the determination infiltrate tab water Show the most useful information and remove duplicate image banding data the Landsat-8 satellite Earth Observation Sensor was 79.10% for the color combination RGB of 651.

Rangelands are very important in country economy in terms of grazing livestock, soil and water conservation and other services to the community. Therefore, systematical and careful management of these lands is necessary. Rangelands of Golestan province were one of the best rangelands of Iran in the past. However, high rate of population growth and sever dependence of the population to natural resources and rangelands caused plant coverage degradation. Floodwater spreading is one of the corrective practices that can be performed with certain goal in the rangelands. Site selection and prioritization of the areas suitable for floodwater spreading and infiltration of flood into the groundwater table are among the most important stages of these projects. GIS and AHP model have been introduced as a suitable method for site selection of the areas appropriate for floodwater spreading system in the Gorgan Rud watershed. In this the Boolean scouring method with two values was used and compared with AHP method. Initially, the unsuitable areas were determined by AHP method. Then the remaining options derived from model results based on the comments. By site selection, the suitable areas were identified and the obtained inconsistency factor (0.08) proved that criteria weighing for locating the suitable areas for floodwater spreading is correct. The results of this study also showed that the areas suggested for floodwater spreading are near the wells and springs, especially in the north and north-west of the watershed. Results showed that investigation of natural factors and constraints based on the Boolean method was not suitable for locating the appropriate areas for floodwater spreading in Gorganrud watershed.

In this study the relationship between annual Standard Precipitation Index (SPI) and, remotely sensed indices of Enhanced Vegetation Index (EVI) and Normalized Differencing Vegetation Index (NDVI) have been studied. MODIS images of Terra satellites for the period of 2000 to 2012, during the growing season of pastures across Golestan province alongwith rainfall data of five meteorological stations in Golestan rangelands from their establishment till 1993 were collected. Pearson correlation coefficient was used to assess the relationship between rainfall data and vegetations indices. Correlation coefficient between (SPI) drought index and EVI and NDVI indices was 0.75 and 0.78 respectively at 5% level of significance. Bedsides, correlation between the NDVI and EVI indices in detection of the vegetation changes were 0.98. In general, the results of this study showed that in regions with inadequate rainfall data, remote sensing products can be used for drought and vegetation cover dynamic monitoring.