This paper addresses the problem of modeling of Earth phenomena from remotely sensed images. In the field of remote sensing, the observed phenomena are most often multi- scale phenomena such as the waves in oceans, the spatial organization of street networks in cities. For extracting information, or processing this kind of images, a multiresolution approach and modeling is often most powerful than classical approaches. We intend to present some winning applications based on multiresolution models derived from the representation provided by multiresolution analysis and wavelet transforms (WT). After a short reminder of WT and an example of application to a remotely sensed image, three applications where modeling based on WT improves the quality of results are presented: vine detection, streets extraction in urban areas and improvement of the spatial resolution of remotely sensed images.