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Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape
Research article (Geoderma, 2021) · cited 128× · AI/ML
Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape
Summary
Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape is a scholarly article[1].
Key Facts
Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape'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). Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-multiple-lidar-derived-digital-terrain-indices-and-machine-learning-for-high-resolution-national-scale-soil-moist
MLA“Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-multiple-lidar-derived-digital-terrain-indices-and-machine-learning-for-high-resolution-national-scale-soil-moist.
BibTeX@misc{4ortxyz_use-of-multiple-lidar-derived-digital-terrain-indices-and-machine-learning-for-high-resolution-national-scale-soil-moist_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-multiple-lidar-derived-digital-terrain-indices-and-machine-learning-for-high-resolution-national-scale-soil-moist}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape — https://4ort.xyz/entity/use-of-multiple-lidar-derived-digital-terrain-indices-and-machine-learning-for-high-resolution-national-scale-soil-moist (retrieved 2026-05-24)
