Environmental information combined with satellite driven observations and ground observations to create a predictor for wildfire at high spatial resolution. Temperature and precipitation are bias corrected using modeling and processing techniques driven from reanalysis datasets. Such techniques can be used to provide projections of future climate risk data at high temporal cadence over individual addresses or over large regions using spatial aggregation using polygon processing techniques.