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A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory
Research article (Remote Sensing of Environment, 2016) · cited 228× · AI/ML
A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory
Summary
A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory is a scholarly article[1].
Key Facts
A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-nationwide-forest-attribute-map-of-sweden-predicted-using-airborne-laser-scanning-data-and-field-data-from-the-nationa
MLA“A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-nationwide-forest-attribute-map-of-sweden-predicted-using-airborne-laser-scanning-data-and-field-data-from-the-nationa.
BibTeX@misc{4ortxyz_a-nationwide-forest-attribute-map-of-sweden-predicted-using-airborne-laser-scanning-data-and-field-data-from-the-nationa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory}}, year = {2026}, url = {https://4ort.xyz/entity/a-nationwide-forest-attribute-map-of-sweden-predicted-using-airborne-laser-scanning-data-and-field-data-from-the-nationa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory — https://4ort.xyz/entity/a-nationwide-forest-attribute-map-of-sweden-predicted-using-airborne-laser-scanning-data-and-field-data-from-the-nationa (retrieved 2026-05-24)