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UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
Research article (International Journal of Applied Earth Observation and Geoinformation, 2018) · cited 73× · AI/ML
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
Summary
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy? is a scholarly article[1].
Key Facts
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?. Retrieved May 24, 2026, from https://4ort.xyz/entity/uav-for-mapping-shrubland-vegetation-does-fusion-of-spectral-and-vertical-information-derived-from-a-single-sensor-incre
MLA“UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uav-for-mapping-shrubland-vegetation-does-fusion-of-spectral-and-vertical-information-derived-from-a-single-sensor-incre.
BibTeX@misc{4ortxyz_uav-for-mapping-shrubland-vegetation-does-fusion-of-spectral-and-vertical-information-derived-from-a-single-sensor-incre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?}}, year = {2026}, url = {https://4ort.xyz/entity/uav-for-mapping-shrubland-vegetation-does-fusion-of-spectral-and-vertical-information-derived-from-a-single-sensor-incre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy? — https://4ort.xyz/entity/uav-for-mapping-shrubland-vegetation-does-fusion-of-spectral-and-vertical-information-derived-from-a-single-sensor-incre (retrieved 2026-05-24)
