Optimal Agricultural Land Use Systems For Northern Pakistan PDF Download

On the example of a mountain region in the northwest of Vietnam, the study investigates, how the strengths of GIS and remote sensing can be transferred to farming systems research. Such an integration of both disciplines allows the consideration of spatial information that goes beyond the usual use of transportation cost in economics. In this way, the holistic farming systems approach can be based on a broader database that includes space in a different way as in the past. The spatial analysis of the physical and socio-economic environment enables the comparison of characteristics for spatially closed areas. Data from geo-informatics assess the spatial reference system of farming systems by means of their physical site conditions. The socio-economic site conditions for these framing systems are assessed through the classical farming systems research methodology based on family level surveys. Thus the spatial integration of socio-economic development allows to unify the strengths of both research areas. In doing so, GIS and remote sensing contribute to farming systems research by assessing the site conditions of the farming systems on a spatially explicit and on a regional basis. This can be achieved by means of instruments like 1. the spatial representation of gradients, 2. the classification of zones according to socio-economic criteria, 3. the regional assessment and valuation of the endowment of agricultural land and 4. the modelling of socio economic parameters, like income, on the basis of spatial data on regional scale.