Multi-Dimensionality of Uncertainty in big Geospatial Sensor Data

Towards Open Big Geospatial Data for geodata.gov.gr

Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...

Geospatial Big Data: Challenges and Opportunities

Multi-Sensor Fusion via Reduction of Dimensionality

Large high-dimensional datasets are becoming more and more popular in an increasing number of research areas. Processing the high dimensional data incurs a high computational cost and is inherently inefficient since many of the values that describe a data object are redundant due to noise and inner correlations. Consequently, the dimensionality, i.e. the number of values that are used to descri...

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to present the frontier approaches of ge...

Multi-hierarchical Quality Assessment of Geospatial Data

In this paper we describe the analysis framework system GEOAIDA with view of an application for a versatile and efficient quality assessment of geodata. GEOAIDA allows to develop image analysis strategies for complex object class definitions being provided by different GIS databases. The image analysis strategy and GIS data model can be expressed in tree-like semantic networks. The multi-hierar...