Surface textures of high resolution and quality, ei- ther acquired from aerial or satellite imagery or computed using procedural models, are crucial for photorealistic terrain rendering. Procedural mod- els provide a compact representation and can be evaluated at run-time. In this paper we present an extension to an existing, GPU-friendly procedural texturing model, such that it can be fitted semi- automatically to real-world data. In order to in- crease realism and to account for geographic con- ditions, we also include temperature, solar radiation and rainfall distributions – simulated or modeled us- ing measured data from gaging stations – into the reproduction process. The original surface texture is no longer required for rendering: instead a new texture of arbitrary resolution is synthesized at run- time. In addition to the compact procedural model we store elevation data, anyway required for the ter- rain rendering, and low-resolution geographic data. We show results of our method applied to a compar- atively little cultivated region in Central Asia.

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