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LandslideSegNet: an effective deep learning network for landslide segmentation using remote sensing imageryNARA Subscribed
In recent years, remote sensing technologies have played a crucial role in the detection and management of natural disasters. In this context, deep learning models are of great importance for the early detection of natural disasters such as landslides. Landslide segmentation is a fundamental tool for the development of geographic information systems, natural disaster management and risk mitigation strategies. In this study, we...
Wind farm site selection using GIS-based multicriteria analysis with Life cycle assessment integrationNARA Subscribed
The sustainability of wind power plants depends on the selection of suitable installation locations, which should consider not only economic and technical factors including manufacturing and raw materials, but also issues pertaining to the environment. In the present study, a novel methodology is proposed to determine the suitable locations for wind turbine farms by analyzing from the environmental perspective. In the methodol...
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