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Monitoring of irrigated land cover is important for both resource managers and farmers. An operational approach is presented to use the satellite-derived surface temperature and vegetation cover in order to distinguish between irrigated and non-irrigated land.
Understanding future land-use related water demand is important for planners and resource managers in identifying potential shortages and crafting mitigation strategies. This is especially the case for regions dependent on limited local groundwater supplies.
Dry subtropical regions, originally hosting xerophytic vegetation, are currently characterized by diverse land cover/use patterns.
This study is a contribution to a model intercomparison experiment initiated during a workshop at the 2013 IAHS conference in Göteborg, Sweden.
Detailed and accurate land cover data are widely used for various purposes, such as global land use change detection. This study aimed to investigate Australian land use and cover change by using 774 Landsat scenes in 2000 and 2010.
CONTEXT: Tropical forest regeneration is increasingly prominent as agro-pastoral lands are abandoned. Regeneration is characterised as favouring ‘marginal’ lands; however, observations of its drivers are often coarse or simple, leaving doubt as to spatial dynamics and causation.
Most of the plantation impact studies reported in literature normally use either one of the sensitivity-based approach or a hydrological model with few actually comparing the impact results from these different approaches.
Hydrological and land use changes can affect species in human altered landscapes.
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