جستجوی مقالات مرتبط با کلیدواژه "سردشت" در نشریات گروه "محیط زیست"

The forests of the Zagros region in western Iran have experienced notable environmental shifts in recent years. Investigating the vertical and horizontal forest structures across different timeframes offers a window into these transformations.

Remote sensing methods, alongside satellite imagery, present a cost-effective and accurate means to monitor temporal changes in forested areas. In this study, image integration techniques and spectral indices were employed to assess the scale of these variations.

Initially, Gram-Schmidt integration was used to enhance the satellite imagery to the fourth order of spatial resolution. Subsequently, changes in the horizontal forest structure of the Sardasht region were examined by evaluating three vegetation indices (NDVI, EVI, and LAI) over a decade (2011, 2015, 2018, and 2021).

The findings highlighted the efficacy of image integration in detecting pixels with small tree presence on the forest floor, with NDVI emerging as a particularly suitable index for discerning changes in the forest's horizontal structure.

Given the importance of climate change on the structure of the planet's environment and its in habitants, and will continue to try to understand as much as possible how climate change is happening. In this study in the climatic phase, daily data of minimum temperature, maximum temperature, precipitation and sunshine hours of Sardasht synoptic station in the period 1996-1996 were simulated using LARS-WG statistical model and after ensuring the efficiency of this model in Simulation of meteorological parameters in Sardasht region, to study climatic parameters in climate change, data; Three scenarios A2 (maximum scenario), A1B (medium scenario) and B1 (minimum scenario) of HadCM3 model in the period 2030-2011 were scaled with LARS-WG small statistical model. The results showed that according to the estimation of LARS-WG model for the studied scenarios in the future periods, the average temperature of Sardasht watershed will increase by 4 degrees Celsius. The amount of precipitation also shows a 2% increase compared to the base period. The results also show that in general, the performance of Lars model in modeling the meteorological variables of the stations under study is appropriate and can be used to reconstruct the data of stations in the past or Extend this data to the next period. It can also be used to assess the future climate of the province on a local scale.