Home ›
Entities
› academia
› Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2017) · cited 63× · AI/ML
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
Summary
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery is a scholarly article[1].
Key Facts
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery's instance of is recorded as scholarly article[2].
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). Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/semantic-segmentation-of-forest-stands-of-pure-species-combining-airborne-lidar-data-and-very-high-resolution-multispect
MLA“Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semantic-segmentation-of-forest-stands-of-pure-species-combining-airborne-lidar-data-and-very-high-resolution-multispect.
BibTeX@misc{4ortxyz_semantic-segmentation-of-forest-stands-of-pure-species-combining-airborne-lidar-data-and-very-high-resolution-multispect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery}}, year = {2026}, url = {https://4ort.xyz/entity/semantic-segmentation-of-forest-stands-of-pure-species-combining-airborne-lidar-data-and-very-high-resolution-multispect}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery — https://4ort.xyz/entity/semantic-segmentation-of-forest-stands-of-pure-species-combining-airborne-lidar-data-and-very-high-resolution-multispect (retrieved 2026-05-24)
