Roughly 40% of the Earth's total heat flow is powered by radioactive decays in the crust and mantle. Geo-neutrinos produced by these decays provide important clues about the origin, formation and thermal evolution of our planet, as well as the composition of its interior. Previous measurements of geo-neutrinos have all relied on the detection of inverse beta decay reactions, which are insensiti...

Construction of geo-spatial information recently tends to develop as multi-dimensional geo-spatial information. People constructing spatial information is also expanding its area to the general public from some experts. As well as, studies are in progress using a variety of devices, with the aim of near real-time update. In this paper, getting the stereo images using GoPro device used widely al...

Conceptualizing spatial relations through natural language seems to be closer to the model humans adopt for spatial reasoning. Controlled languages, which are subsets of natural ones, could be used in order to overcome the difficulties that emanate from the required experience in programming languages. In this paper, we propose a methodology in which questions are expressed in a new controlled ...

Space, together with time, is one of the two fundamental dimensions of the universe of knowledge. Geo-spatial ontologies are essential for our shared understanding of the physical universe and to achieve semantic interoperability between people and between software agents. In this paper we propose a methodology and a minimal set of guiding principles, mainly inspired by the faceted approach, to...

Traditional GIS tools are well suited for desktop workstations, but need to be adapted in order to satisfy the requirements of mobility. We propose a concept for sketch-based spatial querying in mobile GIS environments. This concept combines newest techniques for spatial querying and mobile technologies. Such a combination is beneficial because it allows formulating queries by drawing the desir...

Automatic forecasts of univariate time series are largely demanded in business and science. In this paper, we investigate the forecasting task for geo-referenced time series. We take into account the temporal and spatial dimension of time series to get accurate forecasting of future data. We describe two algorithms for forecasting which ARIMA models. The first is designed for seasonal data and ...

Geo-tagged tweets provide useful implications for studies in human geography, urban science, location-based services, targeted advertising, and social network. This research aims to discover the patterns and mobility of Twitter users by analyzing the spatial and temporal dynamics in their tweets. Geo-tagged tweets are collected over a period of six months for four US Midwestern college cities: ...

Earth observation satellites with various spatial, spectral and temporal resolutions provide an invaluable means for mapping and monitoring the Earth’s environments. With the increasing demand of satellite images for remote and harsh environments and nature disaster areas such as earthquake, flooding, bushfires and other emergent events, quickly geo-positioning those images without using ground...

Geo-parcel based crop identification plays an important role in precision agriculture. It meets the needs of refined farmland management. This study presents an improved identification procedure for geo-parcel based crop identification by combining fine-resolution images and multi-source medium-resolution images. GF-2 images with fine spatial resolution of 0.8 m provided agricultural farming pl...