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Displaying 406 - 410 of 661Modelling the impacts of land-cover change on streamflow dynamics of a tropical rainforest headwater catchment
A modelling experiment is used to examine different land-use scenarios ranging from extreme deforestation (31% forest cover) to pristine (95% forest cover) conditions and related Payment for Ecosystem Services (PES) schemes to assess whether a change in streamflow dynamics, discharge extremes and mean annual water balance of a 73.4-km² tropical headwater catchment in Costa Rica could be detected.
Property Rights Revisited: An Analytical Framework for Groundwater Permit Market under Rule of Capture
This paper revisits the water deeds approach first proposed by Vernon Smith to construct an agent level dynamic optimization model using a simple discrete time framework. First a model of groundwater exploitation for a depletable aquifer is examined. Next an agent level model is solved allowing the agent to trade in the stock of water available at any point in time.
Land cover classification using CHRIS/PROBA images and multi-temporal texture
Most existing multi-temporal classification studies use spectral information alone and ignore the temporal correlation between two-date images. This article proposes a new method to characterize the local temporal correlation using multi-temporal texture measured with a geostatistical function called the pseudo cross variogram (PCV). The derived multi-temporal texture, as an additional band, was combined with the spectral information in multi-temporal classification.
Macrodistributions and microdistributions of stoneflies of calcareous submontane rivers of the West Carpathians, with different land cover
Stonefly samples were collected from disturbed and undisturbed regions of two river basins, tributaries of the Upper Váh River basin (the West Carpathians). Water temperature, oxygen content, coarse benthic matter and some stonefly metrics (abundance, biomass, richness, index of diversity, % predators, % shredders, stonefly total score and stonefly average score) were all negatively influenced by the extent of urban and field land cover.
Object-based change detection
Characterizations of land-cover dynamics are among the most important applications of Earth observation data, providing insights into management, policy and science. Recent progress in remote sensing and associated digital image processing offers unprecedented opportunities to detect changes in land cover more accurately over increasingly large areas, with diminishing costs and processing time.