Modeling hotspots of climate change in the Sahel using object based regionalization of multidimensional gridded datasets

Por: Hagenlocher, Michael ... [et al.].
Colaborador(es): Lang, Stefan | Holbling, Daniel | Tiede, Dirk | Kienberger, Stefan.
Tipo de material: materialTypeLabelArtículoTema(s): Cambios climáticos | Radares | Satélites artificiales en meteorología | Procesamiento óptico de datos | Sistemas de imágenes | Procesamiento de imágenes | Climatología En: Journal of selected topics in applied earth observations and remote sensing Vol.7, núm.1 (January, 2014), pp. 229-234Resumen: The population of subsaharan Africa and particularly of the countries of the sahel and western Africa, is one of the most vulnerable to climate change and climate-related extreme events. To provide updated information for targeted climate change adaptation measures, we modeled hotspots of climate change and related extreme events in an integrative manner. This was achieved by constructing a spatial composite indicator of comulative climate change impact, which integrates four climate and hazard related subindicators: seasonal temperature trends seasonal precipitation trends drought occurrences, and major flood events
Tipo de ítem Biblioteca de origen Colección Signatura Vol info Copia número Estado Fecha de vencimiento Código de barras Reserva de ejemplares
Revista Revista Campus II
Hemeroteca PP-2 550 I592j (Navegar estantería) Vol.7, núm.1 (January, 2014) Ej. 1 Disponible R140256
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CAMPUS II

The population of subsaharan Africa and particularly of the countries of the sahel and western Africa, is one of the most vulnerable to climate change and climate-related extreme events. To provide updated information for targeted climate change adaptation measures, we modeled hotspots of climate change and related extreme events in an integrative manner. This was achieved by constructing a spatial composite indicator of comulative climate change impact, which integrates four climate and hazard related subindicators: seasonal temperature trends seasonal precipitation trends drought occurrences, and major flood events