Facing the impact of rapid urbanization and the problems of environmental deterioration, how to manage the development of landscape and green spaces in rural townships has become an important issue in China. However, how and to what extent can the patterns and changes of green spaces in the rural townships be identified and analyzed in an efficient and timely way remains an unsolved research question. Using the selected rural township in the cold region of China-the Hutou township-as the case setting, this study explicitly examines the changes of landscape patterns and green spaces by employing Remote Sensing (RS), GIS, and landscape indicators. Through a combination of methods including spatial analysis, GIS mapping, and field survey, this study proposes a methodology for systematically monitoring landscape changes in rural townships. After our empirical investigation, this paper reveals several critical problems of landscape management such as a decrease of landscape diversity and an increase in green space fragmentation in the rural township under study. Accordingly, related suggestions on planning actions and policies are provided to improve the situation.

As the result of the rapid development, mountain areas have suffered from the unbalanced development and land use planning. Recently, under the global climate change, the stability of mountain land is more difficult to control. Therefore, it is an important issue to find the most suitable land use pattern for mountains in order to respond to the impact of global climate change.This paper applies multi-objective programming model for the evaluation of sustainable management strategies of optimal land development in mountains. The environmental goals focus on the water quality, the economic goals focus on the total output value, and the disaster goals focus on soil erosion. A case study of the planning for land use programs in the Tai Po Township in Taiwan was demonstrated