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Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone
Research article (International Journal of Remote Sensing, 2016) · cited 28× · AI/ML
Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone
Summary
Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone is a scholarly article[1].
Key Facts
Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone's instance of is recorded as scholarly article[2].
References
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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). Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone. Retrieved May 24, 2026, from https://4ort.xyz/entity/vegetation-filtering-algorithm-for-uav-borne-lidar-point-clouds-a-case-study-in-the-middle-lower-yangtze-river-riparian-
MLA“Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vegetation-filtering-algorithm-for-uav-borne-lidar-point-clouds-a-case-study-in-the-middle-lower-yangtze-river-riparian-.
BibTeX@misc{4ortxyz_vegetation-filtering-algorithm-for-uav-borne-lidar-point-clouds-a-case-study-in-the-middle-lower-yangtze-river-riparian-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone}}, year = {2026}, url = {https://4ort.xyz/entity/vegetation-filtering-algorithm-for-uav-borne-lidar-point-clouds-a-case-study-in-the-middle-lower-yangtze-river-riparian-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vegetation filtering algorithm for UAV-borne lidar point clouds: a case study in the middle-lower Yangtze River riparian zone — https://4ort.xyz/entity/vegetation-filtering-algorithm-for-uav-borne-lidar-point-clouds-a-case-study-in-the-middle-lower-yangtze-river-riparian- (retrieved 2026-05-24)
