The objective of this study is to suggest a planning direction for the management and conservation of a rural landscape. For suggesting the planning direction, this study was classified rural landscape resources based on spatial type to understand the assessment of rural landscape. This study examined literature reviews and site investigations for collecting the data on the resources of a rural landscape to maintain rurality. First above all, it was classified into physical and non-physical resources. Non-Physical resources include elements such as inhabitants' will, leaders' will and the software. It is also to reflect all these factors on the planning. Next, this study classified the resources of a landscape into artificial and natural resources and applied these resources to rural areas which were divided into five types: industry area, life area, natural landscape area, program area and human behavior area. The pictures obtained from this field survey were used for a questionnaire survey to understand the value of a rural landscape. The contents of questionnaire survey were divided into two parts: the presentation condition of a rural land-scape and assessment of a rural landscape. Especially, the value of a rural landscape was divided into the ecological value, socio-cultural value and holistic value.

The purpose of this study is to analyze the potential soil loss and hazard zone by the Revised Universal Soil Loss Equation(RUSLE) for preservation and management of land resources which is the base of ecosystem, and to grasp the relationship between RUSLE factors in the Nakdong River Basin. All thematic maps used in RUSLE are constructed through GIS and spatial analysis method derived from digital topographic maps, detailed soil maps, land-cover maps, and mean annual precipitation of 30 years collected respectively from National Geographic Information Institute, National Institute of Agricultural Science and Technology, and Ministry of Environment. The slope length of LS-factor that takes much times by the study area's wideness was calculated automatically through AML(Arc Macro Language) program developed by Van Remortel et al.(2001, 2003). The results are as follows; First, according to the soil loss estimation by the RUSLE, it shows that approximately 82% of the study area have relatively lower possibility of soil loss which is the 1 ton/ha in annual soil loss. While, 9.4% (2,228km2) needed intensive and continuous management for soil loss. Because the amount of their annual soil loss was greater than 10 ton/ha that is optimum level suggested by Morgan(1995). For these areas, the author believe that a new approach which can minimize environmental impacts from soil loss through improvement of cultivation process and buffer forest zone should be applied. Second, according to the relationship between the RUSLE factors, topographical(LS-factor) and cover management(C-factor) conditions have a lot of influence on soil loss in case of the Nakdong River Basin. However, because of RUSLE factor's influence that affect to soil loss might be different based on the variety of spatial hierarchy and extent, it is necessary to analyze and evaluate factor's relationship in terms of spatial hierarchy and extent through field observations and further studies.