Grant: Alexander Graham Bell Canada Graduate Scholarships - Doctoral
University of Lethbridge
$35,000.00
Development of advanced scalable 3D spatial techniques for multi-spectral LiDAR point cloud modeling of boreal forest inventory attributes, above-ground carbon, and wildfire fuel.
EF 2023-24
Résumé
multispectral LiDAR, forest inventory, carbon stock, wildfire fuel load, ecological habitat mapping, spatial point patterns, above ground biomass, data fusion, machine learning, stochastic geometry
Programme
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
570298-2022
Name nom
Okhrimenko, Maxim M
Department département
Graduate Studies, School of
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
35000
Program id
CGSD
Program name en
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures du Canada Alexander-Graham-Bell - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
168
Committee name en
S&F Committee for Earth Sciences
Committee name fr
Comité de sélection des bourses en sciences de la Terre
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
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
Development of advanced scalable 3D spatial techniques for multi-spectral LiDAR point cloud modeling of boreal forest inventory attributes, above-ground carbon, and wildfire fuel.
Application summary
multispectral LiDAR, forest inventory, carbon stock, wildfire fuel load, ecological habitat mapping, spatial point patterns, above ground biomass, data fusion, machine learning, stochastic geometry
