Multicriteria analysis for sources of renewable energy using data from remote sensing
作者： L. Matejicek
DOI: 10.5194/ISPRSARCHIVES-XL-7-W3-889-2015
关键词:
摘要: Abstract. Renewable energy sources are major components of the strategy to reduce harmful emissions and replace depleting fossil resources. Data from remote sensing can provide information for multicriteria analysis renewable energy. Advanced land cover quantification makes it possible search suitable sites. Multicriteria analysis, together with other data, is used determine potential socially acceptability suggested locations. The described case study focused on an area surface coal mines in northwestern region Czech Republic, where impacts mining reclamation constitute a dominant force changes. High resolution satellite images represent main input datasets identification Solar mapping, wind predictions, location weirs watersheds, road maps demographic complement data which implemented geographic system (GIS). spatial GIS reclassified common scale processed raster algebra tools identify sites selection limited by CORINE database agricultural areas. long term changes 1985-2015 period. based shows moderate mapping utilization selected 1990, 2000, 2006 2012. results map layers showing few preference classes (1-7), first class linked minimum last maximum preference. attached histograms show variability due caused activities. also slight increase more preferred reclaimed Using sensing, such as multispectral datasets, financial resources currently required finding assessing
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