Forest aboveground biomass estimation using deep learning data fusion of ALS, multispectral, and topographic data

Harry Seely, Nicholas C. Coops, Joanne C. White, David Montwé and Ahmed Ragab

Article (2025)

An external link is available for this item

Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/64937/
Journal Title:	International Journal of Remote Sensing
Publisher:	Informa UK (Taylor & Francis)
DOI:	10.1080/01431161.2025.2492412
Official URL:	https://doi.org/10.1080/01431161.2025.2492412
Date Deposited:	05 May 2025 17:09
Last Modified:	05 May 2025 17:09

Cite in APA 7:	Seely, H., Coops, N. C., White, J. C., Montwé, D., & Ragab, A. (2025). Forest aboveground biomass estimation using deep learning data fusion of ALS, multispectral, and topographic data. International Journal of Remote Sensing, 1-39. https://doi.org/10.1080/01431161.2025.2492412
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only