Computerized Interpretation of ERTS Data for Forest Management

Multispectral and spatial features are evaluated for automatic delineation of forest and associated land types. The principal components algorithm was used for determining the efficacy of multispectral bands in making class separations. Four spatial algorithms were evaluated for texture measurements. A thematic map was generated using four multispectral bands as features. Clusters were also used for generating a thematic map