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Biophysical and socio-economic information in space and time is required to aid decision making in the context of sustainable development. Knowledge of spatial distribution of land use/cover categories and the pattern of their change is a prerequisite for sustainable planning, use, and management of the land resources of a country. Object oriented image classification of multi-temporal satellite data is used to measure and spatially characterize land use changes in the Jaffna peninsula, northern Sri Lanka, from 1984 to 2004. During this period, Jaffna Peninsula has been impacted severely by…mehr

Produktbeschreibung
Biophysical and socio-economic information in space and time is required to aid decision making in the context of sustainable development. Knowledge of spatial distribution of land use/cover categories and the pattern of their change is a prerequisite for sustainable planning, use, and management of the land resources of a country. Object oriented image classification of multi-temporal satellite data is used to measure and spatially characterize land use changes in the Jaffna peninsula, northern Sri Lanka, from 1984 to 2004. During this period, Jaffna Peninsula has been impacted severely by armed conflict.GIS is used to analyze the spatial pattern of land use/cover changes over the time period. Possible scenarios for land use allocation are investigated using multiple goal linear programming. Maps of the optimal land use allocation under different scenarios are produced. The feasibility of the optimized outcomes of land use allocation under various scenarios is considered in terms of trade-offs and stakeholder preferences. The results of this work provide a sound basis for future sustainable development planning in Jaffna Peninsula.
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Autorenporträt
Dr Karunakaran Suthakar, a Senior Lecturer at the University of Jaffna, Sri Lanka, received his PhD degree from Nanyang Technological University, Singapore in 2008. His research interest is land use changes, land use planning and Multi- criteria decision making. He is a life member of the Indian Remote Sensing Society.