Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.

Some results of a case study which is focused on regional environment evaluation with geochemical survey data and remote sensing images are described in detail in this paper.

Remote sensing, with the merit of large information capacity, huge observation scope, high accuracy and speed, has become the main means of regional desertification monitoring and evaluation.