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Information about hydrological systems and water table fluctuations is important for water management and is needed to assess choices for long-term water management policy. Preferably, uncertainty abo...
Integrated transport, land-use and air quality monitoring are prioritized especially in metropolitan areas. The complexity is straight forward, since data, indicators, variables, methods and approache...
Meteorological forcing is often identified as a major source of error in hydrological modeling. Traditionally, observations are through meteorological network that often yield incomplete and inaccurat...
Quality of integrated data depends on the quality of original data sources, but it can also be affected by the semantic mapping process between ontologies of different sources, thus influencing the qu...
This paper presents an automatic mosaicking method for generating building facade texture from a sequence of color close-range digital camera images. The constraint of straight line bundle and the c...
Mobile data acquisition is a vital proposal for the fieldwork in a wide range of sciences. Current advances in telecommunications and high bandwidth availability enable effective wireless access to ...
In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping syste...
The European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other big geodata processing. This paper describ...
This paper describes a simple comparison of the distributions of land cover features identified from volunteered data contributed by different social groups – in this case comparing two groups of Geo-...
The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space in the near future. EnMAP is designed to be revolutionary in terms of sp...
River flooding in planar region is the most significant type of natural disaster that modern society is exposed to, affecting several thousand people each year. Recent flood events, population growth ...
In the last few years, low-cost UAV systems have been acknowledged as an affordable technology for geospatial data acquisition that can meet the needs of a variety of traditional and non-traditional m...
During disaster and emergency situations, geospatial data plays an important role to serve as a framework for decision support system. As one component of basic geospatial data, large scale topographi...
Most methods for retrieving foliar content from hyperspectral data are well adapted either to remote-sensing scale, for which each spectral measurement has a spatial resolution ranging from a few doze...
This article presents preliminary results from a research project in progress that brings together geographers, cognitive scientists, historians and computer scientists. The project investigates the e...

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