A key component in the management of the forest resource, be it for wood production, conservation or both, is accurate growth and yield information. The incorporation of remotely sensed imagery into growth and yield calculations can offer potential solutions to some of the problems of predicting forest growth rates. In particular, the repeat coverage of the satellite sensors such as Landsat Multi Spectral Scanner (MSS) data has allowed the development of long-term archives of the changing environmental and growth conditions of forests.