Home ›
Entities
› academia
› Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado
Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado
Research article (Geoderma, 2021) · cited 14× · AI/ML
Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado
Summary
Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado is a scholarly article[1].
Key Facts
Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado. Retrieved May 24, 2026, from https://4ort.xyz/entity/geological-and-terrain-attributes-for-predicting-soil-classes-using-pixel-and-geographic-object-based-image-analysis-in-
MLA“Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/geological-and-terrain-attributes-for-predicting-soil-classes-using-pixel-and-geographic-object-based-image-analysis-in-.
BibTeX@misc{4ortxyz_geological-and-terrain-attributes-for-predicting-soil-classes-using-pixel-and-geographic-object-based-image-analysis-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado}}, year = {2026}, url = {https://4ort.xyz/entity/geological-and-terrain-attributes-for-predicting-soil-classes-using-pixel-and-geographic-object-based-image-analysis-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Geological and terrain attributes for predicting soil classes using pixel- and geographic object-based image analysis in the Brazilian Cerrado — https://4ort.xyz/entity/geological-and-terrain-attributes-for-predicting-soil-classes-using-pixel-and-geographic-object-based-image-analysis-in- (retrieved 2026-05-24)
