Based on remote sensing and Geographic Information System (GIS) technology, the gridded meteorological elements calculated by the ground based DEM and meteorological station monitor data, including maximum temperature, minimum relative humidity, and maximum wind speed, the daily precipitation products from the FY2 geostationary meteorological satellite, and AVHRR snow inversion products, are integrated to compute the gridded forest fire danger Weather Index (FWI). The vegetation type, NDVI, terrain features, highways, settlements, population, and other elements are used to assess the risk of Forest fire danger Risk Index (FRI). Both FWI and FRI are computed to get the gridded Tibet forest fire danger index prediction. The software application is built based on MeteoInfo components to achieve fully automatic forecasting. The comparison analysis of forest fire events shows that the gridded Tibet forest fire danger index is better. The method provides an effective reference for Tibet forest fire prevention.