Feasibility study of using solar radiation energy using remote sensing and SEBAL algorithm (Case study: Moghan Plain)
The use of satellite imagery and remote sensing models has been a convenient and inexpensive tool for estimating solar radiation in recent years.images related to the two years 2019 and 2020 of Landsat 8 satellites, OLI sensors, TIRS sensors and Sabal algorithm were used. The results show that the average of the highest input shortwave radiation was 914 watts per square meter in June and the lowest in November was 548 watts per square meter. The highest amount of net radiation in June was 505 watts per square meter and the lowest in February was 467 watts per square meter. Finally, the highest amount of net radiation reached the earth's surface in June at an average of 505 watts per square meter, the lowest average amount was in November at 296 watts per square meter. The difference in the amount of net radiation reaching the earth in the study area is due to the difference in the angle of the sun and the number of hours of sunshine in different months of the year. Finally, it can be concluded that solar radiation in the region, in the two years under study has the necessary potential to implement solar photovoltaic projects.
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Evaluation of water indicators using Landsat and Sentinel satellite images (case area: Zaribar Lake)
*, Sina Khonkham, Ozra Abdi
Journal of Remote Sensing and GIS Applications in Environmental Sciences, -
Vulnerability zoning of Ardabil city against earthquake risk
Sayyad Asghari *, Elnaz Piroozi
Journal of Geography and Planning, -
Investigating the controlling factors of the suspended sediment of Gharasu River in Ardabil province using principal component analysis and multivariate regression
, Sayyad Asghari Sarasekanrood*, Fariba Esfandyari, Batool Zeynali
Environmental Erosion Researches, -
Modeling of estimation of suspended sediment in Gharasu watershed of Ardabil province using artificial neural network models RBF and MLP
Sayyad Asghari *, h, Fariba Esfandiary Darabad, Batool Zeinali
quantitative geomorphological researches,