Grant: Alliance Grants
Queen's University
$105,000.00
Automating various land resources development and planning services using MapAki platform offered by CES
EF 2023-24
Résumé
Services provided by CES move the traditional paradigm away from static paper maps and data management. Instead, they offer MapAki to create and deliver unique interactive web maps. This research project will attempt to associate multi-layered artificial intelligence empowered services to redesign and rebrand MapAki. Firstly, this project will use up-to-date visuals collected from the drones to generate 3D models for informed land use planning and development of a community for resource optimization, maintenance work, and capacity building. Furthermore, this project will focus on community-centric data analysis supporting tools (e.g., multi-layer data searches, generating personalised reports, heatmaps, and proximity analysis) that can facilitate the already existing services to a great extent by attracting a wide range of clients and increasing sales. Finally, the project will support next-generation 911 emergency responders by automating the identification and prediction of fire, flood, and evacuation routes through drone-based real-time visuals. A number of HQPs (supporting EDI) will be trained through this research project that will increase the capacity of Northern Ontario in the related research field.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
568665-2021
Name nom
Choudhury, Salimur SR
Department département
Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
105000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Automating various land resources development and planning services using MapAki platform offered by CES
Keyword
Artifical Intelligence; Digital Twin; Land Resource Planning; Optimization
Application summary
Services provided by CES move the traditional paradigm away from static paper maps and data management. Instead, they offer MapAki to create and deliver unique interactive web maps. This research project will attempt to associate multi-layered artificial intelligence empowered services to redesign and rebrand MapAki. Firstly, this project will use up-to-date visuals collected from the drones to generate 3D models for informed land use planning and development of a community for resource optimization, maintenance work, and capacity building. Furthermore, this project will focus on community-centric data analysis supporting tools (e.g., multi-layer data searches, generating personalised reports, heatmaps, and proximity analysis) that can facilitate the already existing services to a great extent by attracting a wide range of clients and increasing sales. Finally, the project will support next-generation 911 emergency responders by automating the identification and prediction of fire, flood, and evacuation routes through drone-based real-time visuals. A number of HQPs (supporting EDI) will be trained through this research project that will increase the capacity of Northern Ontario in the related research field.