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GeoTriples: Transforming geospatial data into RDF graphs using R2RML and RML map**s
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 …
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
Geographic Object-Based Image Analysis (GEOBIA) techniques have become increasingly
popular in remote sensing. GEOBIA has been claimed to represent a paradigm shift in …
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
This study investigates the concentration, cloud condensation nuclei (CCN) activity and
hygroscopic properties of particles influenced by biomass burning in the eastern …
hygroscopic properties of particles influenced by biomass burning in the eastern …
Semantic data integration
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 …
presents challenges for data integration. For data to be truly useful, scientists need not only …
[HTML][HTML] 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 …
the world, and the rapid development of the wildland-urban interface (WUI) increases the …
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
Clouds in satellite imagery pose a significant challenge for downstream applications. A
major challenge in current cloud removal research is the absence of a comprehensive …
major challenge in current cloud removal research is the absence of a comprehensive …
Wildfire risk weighting and behaviour prediction using open geospatial data and ontologies
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 …
by leveraging open geospatial data and ontologies. The proposed methodology includes a …
Building spatio-temporal knowledge graphs from vectorized topographic historical maps
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 …
and natural sciences. These maps contain detailed documentation of a wide variety of …
[PDF][PDF] Fighting wildfires under uncertainty: A sequential resource allocation approach
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 …
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.
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 …
complex systems that collect data from satellites and in-situ sensors, process this data, and …