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Longitudinal analysis of socio-economic development at sub-national scales can reveal valuable insights about which areas tend to develop faster than others and why. However, such analysis is difficult to conduct with traditional data sources such as ...

Development of modern observation technologies, increase of the amount of open data, and development of new approaches to their processing open new opportunities in carrying out applied research in the economic activity of people. The central ...

Solar energy is now the cheapest form of electricity in history. Unfortunately, significantly increasing the electric grid's fraction of solar energy remains challenging due to its variability, which makes balancing electricity's supply and demand more ...

Recently, abnormally high water temperature (AHWT) phenomena are occurring more often due to the global warming and its impact. These phenomena have damaged extensively to the maritime economy around the southern coast of Korea and caused an illness by ...

In the field of meteorology, weather forecasting requires meteorological radar echo data as support. However, the lack of radar data due to malfunctions or lack of radar deployment has greatly affected the stability of weather forecasting. In order to ...

GeoSensor is a novel, open-source system that enriches change detection over satellite images with event detection over news items and social media content. GeoSensor combines these two orthogonal operations through state-of-the-art Semantic Web ...

Copernicus is the European program for monitoring the Earth. It consists of a set of complex systems that collect data from satellites and in-situ sensors, process this data and provide users with reliable and up-to-date information on a range of ...

Copernicus App Lab is a two year project (November 2016 to October 2018) funded by the European Commission under the H2020 program. The consortium consists of AZO (project coordinator), National and Kapodistrian University of Athens, Terradue, RAMANI and ...

Large-scale mapping of land cover is considered in the paper as a problem of automated processing of big geospatial data, which may contain various uncertainties. To solve it, we propose to use three different paradigms, namely, decomposition method, ...

Current research in climate informatics focuses mainly on the development of novel (machine learning, data mining, or statistical) techniques to analyze climate data (e.g. model, in-situ, or satellite) or to make prediction based on these climate data. ...

This paper describes a distributed system for agricultural monitoring in Ukraine at two levels, namely, at ministerial level and at agricultural enterprise level. Crop monitoring is performed using data and products obtained by moderate and high-...

The paper illustrates the potentials of geospatial data and services to access historical digital atlas for landscape analysis and territorial government. The experience of a historical geo-portal, the ‘Atl@nte dei Catasti Storici', in the management of ...

The paper presents the architecture and key functional characterisitcs of a multiservice geoinformation management system of Yenisei meridian territories. The system has original architecture that combines elements of classical GISs, information systems ...

One challenge in Earth science research is the accurate and efficient ad-hoc query and retrieval of Earth science satellite sensor data based on user-defined criteria to study and analyze atmospheric events such as tropical cyclones. The problem can be ...

The objective of this research is to use satellite images for the classification and identification of settlements. Satellite images are used in this research. A wide area is covered in a single satellite image and it contains enormous information ...

This paper presents our work of enhancing the existing cyberinfrastructure using Web 2.0 technologies for delivering real time satellite data to a broader audience. As a resource provider on the TeraGrid, Purdue University hosts several data collections ...

Sorting is a well-known problem frequently used in many aspects of the world of computational applications. Sorting means arranging a set of records (or a list of keys) in some (increasing or decreasing) order. In this paper, we propose a graph based ...

Pre- and post-fire dynamical trends in some two test sites of Italy were investigated, using the 1998 to 2005 time series of Normalized Difference Vegetation Index (NDVI) from SPOT-VEGETATION sensor. The detrended fluctuation analysis (DFA) was adopted ...

In this paper, we consider a model of lossless image compression in which each band of a multispectral image is coded using a prediction function involving values from a previously coded band of the compression, and examine how the ordering of the bands ...

We describe a new approach for extracting crest lines and thin nets. The key point of our approach is to model thin nets as the crest lines of the image surface. Crest lines are the lines where one of the two principal curvatures is locally extremal. We ...