That the multi-source remote sensing information integrates knowledge-based geospatial constraints to develop efficient and practical Land cover classification algorithm has become one of the most important developing directions in the field of remote sensing ground object classification. Remote sensing classification is a strictly incompatible problem, but the spectra distribution of remote sensing data has compatible attributes especially in mountainous regions, and such contradiction is one of the main reasons leading to uncertainties in remote sensing classification.

Rapid land ownership changes in the Northern Forest of the eastern United States have spurred development as well as conservation. Local people have experienced differing degrees of participation in land use decisions. We examine two conservation projects from the Northern Forest state of Maine. This paper presents the policy processes from these projects and an assessment of their impact on conflict and support for the project. One project was a top-down approach, and the second was a grassroots, private effort by local citizens to conserve forestland.

The territorial approach to rural development highlights the role of local actors, networks, culture, nature and landscape amenities. The Organization for Economic Co-operation and Development (OECD) definition of rurality is, however, not capable of dealing with local and community definitions of rurality, which vary from study to study. In everyday life, physical planners, rural policymakers and local rural actors need a consistent definition of rurality.