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Displaying 271 - 275 of 1605Key variables for the identification of soil management classes in the aeolian landscapes of north–west Europe
At present, spatially very detailed data sets can be obtained about soil, landscape and crop variability. However, there is a need to select independent key properties to identify management classes needed for precise land management. In a previous study performed in the European loess belt, topsoil pH, apparent electrical conductivity (ECa) and elevation were identified as key properties. In this study we enlarged the number of soil properties by including gamma ray measurements and employed a similar methodology to a field in the sand belt of northern Europe.
spectral gradient difference based approach for land cover change detection
Change detection with remotely sensed imagery plays an important role in land cover mapping, process analysis and dynamic information services. Euclidean distance, correlation and other mathematic metrics between spectral curves have been used to calculate change magnitude in most change detection methods. However, many pseudo changes would also be detected because of inter-class spectral variance, which remains a significant challenge for operational remote sensing applications.
Stakeholder perceptions of recreational and management impacts on protected coastal dune systems: A comparison of three European countries
Coastal dune systems are particularly susceptible to destabilisation through recreational pressure and because of this, conflicts frequently arise between those who want to use the dunes for recreational purposes and those who wish to see these fragile ecosystems protected. In addition, a range of approaches to resolving this conflict are being used in different countries with differing levels of success. To study this conflict, an approach based on the Q-method was applied to three European Union Member States, i.e.
Ecosystem functional units characterized by satellite observed phenology and productivity gradients: A case study for Europe
The present study demonstrates remote sensing derived phenological and productivity indicators of ecosystem functional dynamism. The indices were derived from SPOT VEGETATION NDVI data on 1km spatial resolution across the pan-European continent using the Phenolo approach. The phenological and productivity indices explained 78% of the variance in the European ecosystem gradient measured by bio-climatic zones. Along this gradient climatic predictors could only explain 57% of the variance in the satellite metrics.
Greener energy: Issues and challenges for Pakistan—wind power prospective
Energy is one of the essential inputs for economic development and industrialization. A reliable supply of energy is essential to maintain and to improve human being’s living conditions. The management of energy sources, rational utilization of energy, and renewable energy source usages are vital. Among the renewable energy sources wind energy is currently viewed as one of the most significant, fastest growing, and commercially attractive source to generate electrical energy because of the mature and cost effective energy conversation technology.