tailieunhanh - An application of GIS and Remote Sensing for Analysis of Agricultural Development-Induced Changes in Land Use: A case study in Lao PDR

Overall, Cambodia’s rubber export competitiveness remains weaker than that of other countries in the region, except for the Lao People’s Democratic Republic. One of the problems is that despite the application of conventional technology for the management and maintenance of rubber trees and traditional rubber clones, per- hectare rubber yield remains lower than in other countries of the region. A significant rise in the real daily wage of laborers during the past three years appears to be one factor obstructing the improvement of Cambodia’s rubber competitiveness, while high costs of electricity and petroleum relative to those of the Lao People’s Democratic. | An application of GIS and Remote Sensing for Analysis of Agricultural Development-Induced Changes in Land Use A case study in Lao PDR By Boundeth Southavilay1 2 Teruaki Nanseki 1 2 3 The 30th APAN Meeting August 2010 in Hanoi Vietnam 1 . Graduate school of Bioresource and Bioenvironmental Science Kyushu University Japan. 2 .Department of Planning Ministry of Agriculture and Forestry Lao PDR. 3 . Faculty of Agriculture Kyushu University Japan 1 E-Mails boundeth_jong@ nanseki@ Contents 1. Introduction 2. Statement of problems 3. Objectives 4. Materials and Methods 5. Study area 6. Results and Discussions 7. Conclusions 2 Introduction In the last decade in Laos GIS and Remote sensing RS has not much used in countrywide including agriculture sector did not applied this technique for their agricultural development and land use planning. A meanwhile in that times agriculture lands in Laos were transformed from subsistence farming in uneconomic-sized farms to commercial and market-oriented farms. These transformed sometimes happens in improperly ways and induced to change in land use and land covers by despoilment of forest covers and traditional farming system. The problems above due to lack of an appropriate tool in terms of integrated spatial data on land use land covers. However recently GIS and remote sensing has been using in several types of works in both government and private agencies. As we know GIS and remote sensing have an important role in linkage and analysis of such data in particular for detection interpretation area calculation monitoring and future estimating. Therefore this study applied GIS and remote sensing for analysis the land use pattern changes

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