Infoday Environment Alicia Palacios Orueta ETSI Montes. Universidad Politécnica de Madrid. Spain School of forestry. Department of Silvopasciculture Phone: Environment Infoday FP7-ENV September 2009

Infoday Environment ENV Early warning and forecasting systems to predict climate related drought vulnerability and risks in Africa ENV Building observational datasets for the predictability of global atmospheric, oceanic and terrestrial processes using reanalysis techniques TOPICS OBJECTIVE Monitoring and forecasting climate impact on ecosystems through Statistical Time Series Analyses of remote sensing spectral shape vegetation indices SKILLS Identification of ecosystem response indicators  remote sensing spectral shape vegetation indices (new approach) Monitoring and forecasting dynamic response  Statistical Time Series Analyses Monitoring and forecasting climate impact on ecosystems Palacios Orueta Universidad Politécnica de Madrid

Infoday Environment Monitoring and forecasting climate impact on ecosystems Remote sensing and geographic information systems methods for global spatiotemporal modeling of biomass burning emissions: assessment in the African continent. JGR Development of Angle Indexes for Soil Moisture Estimation, Dry Matter, Detection and Land-Cover Discrimination. RSE. 109, 2007 Assessment of forest fire seasonality using MODIS fire potential: a time series approach. Agricultural and Forest Meteorology Cotton phenology analysis with the new remote sensing Spectral angle indexes AS1 and AS2. International Conference on Agricultural Engineering 2008, Crete, 2008 Palacios Orueta Universidad Politécnica de Madrid