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Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery
Research article (Geoderma, 2020) · cited 81× · AI/ML
Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery
Summary
Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery is a scholarly article[1].
Key Facts
Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysing-the-impact-of-soil-spatial-sampling-on-the-performances-of-digital-soil-mapping-models-and-their-evaluation-a-
MLA“Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysing-the-impact-of-soil-spatial-sampling-on-the-performances-of-digital-soil-mapping-models-and-their-evaluation-a-.
BibTeX@misc{4ortxyz_analysing-the-impact-of-soil-spatial-sampling-on-the-performances-of-digital-soil-mapping-models-and-their-evaluation-a-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery}}, year = {2026}, url = {https://4ort.xyz/entity/analysing-the-impact-of-soil-spatial-sampling-on-the-performances-of-digital-soil-mapping-models-and-their-evaluation-a-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery — https://4ort.xyz/entity/analysing-the-impact-of-soil-spatial-sampling-on-the-performances-of-digital-soil-mapping-models-and-their-evaluation-a- (retrieved 2026-05-24)