Environmental Land Use Research Articles

Region Extraction and Classification of Multi-Spectral Images by Entropy Index

A practical method is proposed for extracting and classifying regions in remotely sensed multi-spectral images. First, an entropy index based on the gray level histogram of local sub-area is shown to be effective for extracting regions which have homogeneous gray levels in the image. It is demonstrated in the next step that the maximum likelihood method using spectral characteristics of the extracted regions is capable of classifying regions in the image. This multi-stage unsupervised method is applied to the actual environmental land use classification.

A Hierarchical Goal‐Programming Approach To Environmental Land Use Management

A mathematical goal programming model is described for the purpose of normative policy evaluation of environmental land use management on the Texas Gulf Coast. The model's three‐level hierarchy, linking statewide, multicounty, and local models, allows the explicit consideration of competing goals (policies) at different spatial scales. Microlevel impacts of macrolevel environmental policy decisions, and vice versa, can be assessed.