Application of Remote Sensing Data in Natural Disaster Relief
According to the needs of Natural Disaster Relief Regulation,this article analyses the application capacity of satellite and aerial remote sensing data in natural disaster relief.Taking Wenchuan earthquake and Yushu earthquake for examples,we apply Quickbird,EROS-B optical satellite data and COSMO-Skymed SAR satellite data and aerial remote sensing data,combined with spatial analysis method,in these natural disasters relief.The applications include disaster relief area planning,house collapsed rate assessment,tent dynamic monitoring,disaster resettlement area monitoring and disaster resettlement area monitoring.These products are very important to government making decision of disaster relief.Our researches show that space-based technology including remote sensing can make important contribution to natural disaster relief.
Abstract Wind is one of the fastest-growing renewable sources of electricity. As with most renewables, the economic viability relies on public subsidies. Even among renewables, the economic evaluation of wind projects is particularly challenging due to the unpredictability of the energy source, wind, and the high sensitivity of the project profitability to changes in a number of parameters. This makes the uncertainty analysis an important topic of research in the wind power sector. This study presents a method of combining two uncertainty analysis methods, sensitivity study and the Monte Carlo method, together with a technical and economic model of a wind farm, in an effort to improve the understanding of the practical effects of the uncertainties, and how they affect the financial risks of wind projects.