The urban transition that has emerged over the past quarter century poses new challenges for mapping land cover/land use change (LCLUC). The growing archives of imagery from various earth-observing satellites have stimulated the development of innovative methods for change detection in long-term time series. We tested two different multi-temporal remote sensing datasets and techniques for mapping the urban transition.

This research examines the integration and potential uses of linkages between climate dynamics, savanna vegetation and landscape level processes within a highly vulnerable region, both in terms of climate variability and social systems. We explore the combined applications of two time-series methodologies: (1) climate signals detected in tree ring growth, from published literature, chronologies from the International Tree-Ring Data Bank, and minimal preliminary field data; and (2) new primary production (NPP) data of vegetation cover over time derived from remotely sensed analyses.

Under Vietnam’s State land ownership regime, the Government holds supreme authority over compulsory land acquisition. The results show that many improvements in land acquisition policies have been made, but poor implementation measures largely cannot prevent or even mitigate the adverse impacts on displaced persons. In particular, ineffective compensation measures and a lack of production land and livelihood alternatives accelerate the resistance of communities displaced as a result of hydropower development.