Home ›
Entities
› academia
› Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models
Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models
Research article (Remote Sensing Applications Society and Environment, 2022) · cited 37× · AI/ML
Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models
Summary
Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models is a scholarly article[1].
Key Facts
Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/mixed-tropical-forests-canopy-height-mapping-from-spaceborne-lidar-gedi-and-multisensor-imagery-using-machine-learning-m
MLA“Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mixed-tropical-forests-canopy-height-mapping-from-spaceborne-lidar-gedi-and-multisensor-imagery-using-machine-learning-m.
BibTeX@misc{4ortxyz_mixed-tropical-forests-canopy-height-mapping-from-spaceborne-lidar-gedi-and-multisensor-imagery-using-machine-learning-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/mixed-tropical-forests-canopy-height-mapping-from-spaceborne-lidar-gedi-and-multisensor-imagery-using-machine-learning-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models — https://4ort.xyz/entity/mixed-tropical-forests-canopy-height-mapping-from-spaceborne-lidar-gedi-and-multisensor-imagery-using-machine-learning-m (retrieved 2026-05-24)
