GeoTriples: Transforming geospatial data into RDF graphs using R2RML and RML mappings

K Kyzirakos, D Savva, I Vlachopoulos… - Journal of Web …, 2018 - Elsevier
A lot of geospatial data has become available at no charge in many countries recently.
Geospatial data that is currently made available by government agencies usually do not …

An object-based semantic classification method for high resolution remote sensing imagery using ontology

H Gu, H Li, L Yan, Z Liu, T Blaschke, U Soergel - Remote Sensing, 2017 - mdpi.com
Geographic Object-Based Image Analysis (GEOBIA) techniques have become increasingly
popular in remote sensing. GEOBIA has been claimed to represent a paradigm shift in …

Biomass-burning impact on CCN number, hygroscopicity and cloud formation during summertime in the eastern Mediterranean

A Bougiatioti, S Bezantakos, I Stavroulas… - Atmospheric …, 2016 - acp.copernicus.org
This study investigates the concentration, cloud condensation nuclei (CCN) activity and
hygroscopic properties of particles influenced by biomass burning in the eastern …

Semantic data integration

M Cheatham, C Pesquita - Handbook of big data technologies, 2017 - Springer
The growing volume, variety and complexity of data being collected for scientific purposes
presents challenges for data integration. For data to be truly useful, scientists need not only …

Fusing social media, remote sensing, and fire dynamics to track wildland-urban interface fire

W Zhong, X Mei, F Niu, X Fan, S Ou, S Zhong - Remote Sensing, 2023 - mdpi.com
Wildfire is one of the main hazards affecting large areas and causes great damage all over
the world, and the rapid development of the wildland-urban interface (WUI) increases the …

Building spatio-temporal knowledge graphs from vectorized topographic historical maps

B Shbita, CA Knoblock, W Duan, YY Chiang… - Semantic …, 2023 - content.iospress.com
Historical maps provide rich information for researchers in many areas, including the social
and natural sciences. These maps contain detailed documentation of a wide variety of …

[PDF][PDF] Fighting wildfires under uncertainty: A sequential resource allocation approach

H Chan, L Tran-Thanh, V Viswanathan - Proceedings of the Twenty-Ninth …, 2021 - ijcai.org
Standard disaster response involves using drones (or helicopters) for reconnaissance and
using people on the ground to mitigate the damage. In this paper, we look at the problem of …

[PDF][PDF] The Copernicus App Lab project: Easy Access to Copernicus Data.

K Bereta, H Caumont, U Daniels, E Goor, M Koubarakis… - EDBT, 2019 - cgi.di.uoa.gr
Copernicus is the European programme 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 …

Managing big, linked, and open earth-observation data: Using the teleios\/leo software stack

M Koubarakis, K Kyzirakos, C Nikolaou… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
Big Earth-observation (EO) data that are made freely available by space agencies come
from various archives. Therefore, users trying to develop an application need to search …

Wildfire risk weighting and behaviour prediction using open geospatial data and ontologies

C Brys, I Navas-Delgado… - Journal of Information …, 2023 - journals.sagepub.com
This article presents a novel approach to wildfire risk assessment and behaviour prediction
by leveraging open geospatial data and ontologies. The proposed methodology includes a …