46 citations · 110 across the 8 of their papers we have counts for
9 papers
LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera
Mayank Jain, Vishal Singh Sengar, Isabella Gollini +3
Ground-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer fantastic alternatives to satellite measur…
Mapping Slums with Medium Resolution Satellite Imagery: a Comparative Analysis of Multi-Spectral Data and Grey-level Co-occurrence Matrix Techniques
Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto
The UN-Habitat estimates that over one billion people live in slums around the world. However, state-of-the-art techniques to detect the location of slum areas employ high-resoluti…
An Extremely-low Cost Ground-Based Whole Sky Imager
Mayank Jain, Isabella Gollini, Michela Bertolotto +2
Ground-based Whole Sky Imagers (WSIs) are increasingly being used for various remote sensing applications. While the fundamental requirements of a WSI are to make it climate-proof…
Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities
Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto
Over a billion people live in slums in settlements that are often located in ecologically sensitive areas and hence highly vulnerable. This is a problem in many parts of the world,…
Impact of Semantic Granularity on Geographic Information Search Support
Noemi Mauro, Liliana Ardissono, Laura Di Rocco +2
The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration.…
Linking Geographic Vocabularies through WordNet
Andrea Ballatore, Michela Bertolotto, David C. Wilson
The linked open data (LOD) paradigm has emerged as a promising approach to structuring and sharing geospatial information. One of the major obstacles to this vision lies in the dif…
An evaluative baseline for geo-semantic relatedness and similarity
Andrea Ballatore, Michela Bertolotto, David C. Wilson
In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration…
A Survey of Volunteered Open Geo-Knowledge Bases in the Semantic Web
Andrea Ballatore, David C. Wilson, Michela Bertolotto
Over the past decade, rapid advances in web technologies, coupled with innovative models of spatial data collection and consumption, have generated a robust growth in geo-reference…
The semantic similarity ensemble
Andrea Ballatore, Michela Bertolotto, David C. Wilson
Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. T…