Characterising RISERnet data for MoistuRISER

Azedeh has been investigating how the spatial and temporal characteristics of the RISERnet vary over the field. By studying the temporal variation of observed weather conditions (like humidity, solar radiation, and temperature, pictured) the project is better understanding the spatial variation in these parameters, as the basis for subsequent fine fuel moisture content modelling and estimation. In parallel, Peter has begun implementation of key algorithms and models on the IBM Infosphere Stream Computing platform that will form the basis of MoistuRISER.spatial_Map

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